CN113700458B

CN113700458B - Energy consumption optimization method and device for oilfield water injection system

Info

Publication number: CN113700458B
Application number: CN202010442307.2A
Authority: CN
Inventors: 朱景义; 吴浩; 解红军; 吕莉莉; 魏江东; 徐英俊; 陈由旺
Original assignee: Petrochina Co Ltd
Current assignee: Petrochina Co Ltd
Priority date: 2020-05-22
Filing date: 2020-05-22
Publication date: 2023-08-22
Anticipated expiration: 2040-05-22
Also published as: CN113700458A

Abstract

The application provides an energy consumption optimization method and device for an oilfield water injection system, and belongs to the field of oilfield. The method comprises the following steps: simplifying a plurality of first water injection nodes included in a first oilfield water injection system to be optimized to obtain a plurality of second water injection nodes; determining a plurality of water injection rings consisting of a plurality of water injection pipelines; determining a second oilfield injection system comprising a plurality of injection water based rings; setting up an energy consumption optimization model of the second oilfield water injection system by taking the operation parameters of each water injection pump included in the plurality of second water injection nodes as variables and taking the minimum total energy consumption of the second oilfield water injection system as a target; constructing an energy balance model of a second oilfield water injection system according to the flow in the water injection pipeline, and performing simulation on the second oilfield water injection system through the energy balance model to determine the operation parameters of each water injection pump meeting the energy consumption optimization model; and the dimension of the energy balance model is reduced, so that the efficiency and accuracy of energy consumption optimization of the oilfield flooding system are improved.

Description

Energy consumption optimization method and device for oilfield water injection system

Technical Field

The application relates to the field of oil fields, in particular to an energy consumption optimization method and device for an oil field water injection system.

Background

At present, oilfield flooding is one of the important means for supplementing energy to stratum and improving recovery efficiency in oilfield development process. Water with satisfactory quality can be injected into an oil layer from a water injection well through the oilfield water injection system so as to maintain the pressure of the oil layer and realize oilfield water injection. The energy consumption of the oilfield water injection system is huge, and the energy consumption of the oilfield water injection system accounts for more than 40% of the total energy consumption in the oilfield development process. Therefore, the energy consumption optimization of the oilfield flooding system has important significance for reducing the total energy consumption in the oilfield development process.

The oilfield water injection system comprises a water injection station, a water distribution room, a water injection well and a water injection pipe network; the water injection station, the water distribution room and the water injection well are connected through a water injection pipe network. In the related technology, a water injection station, a water distribution room and a water injection well are used as nodes, and an oilfield water injection system is simulated by a node solution method.

However, since the dimension of the nonlinear equation set established by the node solving method is equivalent to the number of nodes, when the number of nodes such as a water injection station, a water distribution room, a water injection well and the like in the oilfield water injection system is large, the dimension of the nonlinear equation set established by the node solving method is large, so that the calculation time required for solving the energy consumption of the oilfield water injection system is long and the efficiency is low.

Disclosure of Invention

The embodiment of the application provides an energy consumption optimization method and device for an oilfield water injection system, which can shorten the calculation time required for solving the energy consumption of the oilfield water injection system and improve the energy consumption optimization efficiency of the oilfield water injection system. The technical scheme is as follows:

in one aspect, the application provides a method for optimizing energy consumption of an oilfield flooding system, which comprises the following steps:

simplifying a plurality of first water injection nodes included in a first oilfield water injection system to be optimized to obtain a plurality of second water injection nodes;

determining a plurality of water injection rings formed by a plurality of water injection pipelines according to a plurality of water injection pipelines connected with a plurality of second water injection nodes;

determining a second oilfield water injection system consisting of a plurality of the water injection base rings;

setting up an energy consumption optimization model of the second oilfield water injection system by taking the operation parameters of each water injection pump included in the plurality of second water injection nodes as variables and taking the minimum total energy consumption of the second oilfield water injection system as a target;

and constructing an energy balance model of the second oilfield water injection system according to the flow in the water injection pipeline, performing simulation on the second oilfield water injection system through the energy balance model, and determining the operation parameters of each water injection pump meeting the energy consumption optimization model.

In one possible implementation, the first water injection node includes a first water injection well, a first water distribution site, and a first water injection station; the simplifying treatment is performed on a plurality of first water injection nodes included in the first oilfield water injection system to be optimized to obtain a plurality of second water injection nodes, including:

determining the connection relation between each first water injection well and the first water distribution room, responding to the connection of the first water injection well with only one first water distribution room, and simplifying the first water injection well and the first water distribution room by using an equivalent recurrence method to obtain a plurality of simplified second water distribution rooms;

determining the connection relation between each second water distribution room and the first water injection station;

in response to the second water distribution room being connected with only one first water injection station, simplifying the second water distribution room and the first water injection station by using an equivalent recurrence method to obtain a plurality of simplified second water injection stations; determining a plurality of the second water injection stations as a plurality of the second water injection nodes;

and responsive to the second water distribution site being connected to a plurality of the first water injection stations, determining a plurality of the second water distribution sites as a plurality of the second water injection nodes.

In another possible implementation manner, the determining a plurality of water injection rings formed by a plurality of water injection pipes according to a plurality of water injection pipes connected with a plurality of second water injection nodes includes:

selecting a first water injection pipeline from a plurality of water injection pipelines, determining at least one third water injection pipeline forming a closed path with the first water injection pipeline from the plurality of water injection pipelines by utilizing a depth-first search algorithm, and determining a first water injection base ring formed by the first water injection pipeline and the at least one third water injection pipeline;

marking each water injection pipe in the first water injection base ring;

and selecting a second water injection pipeline from unlabeled water injection pipelines, determining at least one fourth water injection pipeline forming a closed path with the second water injection pipeline by utilizing the depth-first search algorithm, and determining a second water injection base ring formed by the second water injection pipeline and the at least one fourth water injection pipeline until the unlabeled water injection pipeline does not exist.

In another possible implementation, the method further includes:

selecting a fifth water injection pipeline from a plurality of water injection pipelines included in a plurality of water injection base rings;

Determining the position relation between the fifth water injection pipeline and other water injection pipelines except the fifth water injection pipeline;

and adjusting the fifth water injection pipeline in response to the fifth water injection pipeline being staggered with other water injection pipelines until the fifth water injection pipeline after adjustment is not staggered with other water injection pipelines.

In another possible implementation manner, the establishing an energy consumption optimization model of the second oilfield water injection system with the operation parameters of each water injection pump included in the plurality of second water injection nodes as variables and with the minimum total energy consumption of the second oilfield water injection system as a goal includes:

determining an objective function with the lowest total energy consumption of the second oilfield water injection system according to the start-stop state and the operation parameters of each water injection pump;

determining a constraint function corresponding to the objective function according to water supply and injection quantity balance of each water injection pump, water injection pump water quantity limit, water injection station water quantity and water injection well injection allocation pressure limit;

and determining the energy consumption optimization model corresponding to the objective function and the constraint function.

In another possible implementation manner, the constructing an energy balance model of the second oilfield water injection system according to the flow rate in the water injection pipeline includes:

Determining the flow rates of a plurality of water injection pipelines included in a plurality of water injection base rings through a flow rate distribution model of the water injection pipelines;

establishing an energy equation corresponding to the water injection base ring according to the flow rates of a plurality of water injection pipelines included in the water injection base ring;

and constructing an energy balance model of the second oilfield water injection system through the energy equation.

In another possible implementation manner, the determining, by the flow distribution model of the water injection pipe, the flow of the plurality of water injection pipes included in the plurality of water injection base rings includes:

determining energy loss functions of a plurality of water injection pipelines according to the flow of the water injection pipelines and resistance coefficients of the water injection pipelines;

and determining the flow rates of a plurality of water injection pipelines included in a plurality of water injection base rings according to the energy loss function and the total energy loss of the water injection base rings.

In another possible implementation manner, the performing, by the energy balance model, a simulation on the second oilfield water injection system, determining an operation parameter of each water injection pump that meets the energy consumption optimization model includes:

for each water injection pump, determining a first operation parameter of the water injection pump through the energy balance model, and determining a first total energy consumption of the second oilfield water injection system according to the first operation parameter;

Determining injection allocation requirements of the second oilfield injection system according to the energy consumption optimization model;

responding to the first total energy consumption to meet the injection allocation requirement, and taking the first operation parameter as the operation parameter of the water injection pump;

and responding to the fact that the first total energy consumption does not meet the injection allocation requirement, adjusting the first operation parameter until second total energy consumption of the oilfield water injection system corresponding to the adjusted second operation parameter meets the injection allocation requirement, and taking the second operation parameter as the operation parameter of the water injection pump.

In another possible implementation, the determining, by the energy balance model, the first operating parameter of the water injection pump includes:

and determining a plurality of operation parameters of the water injection pump through a particle swarm algorithm, and selecting a first operation parameter of the water injection pump meeting the energy balance model from the plurality of operation parameters.

In another aspect, the present application provides an oilfield water injection system energy consumption optimization device, the device comprising:

the simplification module is used for simplifying a plurality of first water injection nodes included in the first oilfield water injection system to be optimized to obtain a plurality of second water injection nodes;

The first determining module is used for determining a plurality of water injection rings formed by a plurality of water injection pipelines according to the plurality of water injection pipelines connected with a plurality of second water injection nodes;

the second determining module is used for determining a second oilfield water injection system consisting of a plurality of water injection base rings;

the building module is used for building an energy consumption optimization model of the second oilfield water injection system by taking the operation parameters of each water injection pump included in the plurality of second water injection nodes as variables and taking the minimum total energy consumption of the second oilfield water injection system as a target;

and the third determining module is used for constructing an energy balance model of the second oilfield water injection system according to the flow in the water injection pipeline, and carrying out simulation on the second oilfield water injection system through the energy balance model to determine the operation parameters of each water injection pump meeting the energy consumption optimizing model.

In one possible implementation, the first water injection node includes a first water injection well, a first water distribution site, and a first water injection station; the simplifying module is used for determining the connection relation between each first water injection well and the first water distribution room, responding to the fact that the first water injection well is connected with only one first water distribution room, and simplifying the first water injection well and the first water distribution room by using an equivalent recurrence method to obtain a plurality of simplified second water distribution rooms; determining the connection relation between each second water distribution room and the first water injection station; in response to the second water distribution room being connected with only one first water injection station, simplifying the second water distribution room and the first water injection station by using an equivalent recurrence method to obtain a plurality of simplified second water injection stations; determining a plurality of the second water injection stations as a plurality of the second water injection nodes; and responsive to the second water distribution site being connected to a plurality of the first water injection stations, determining a plurality of the second water distribution sites as a plurality of the second water injection nodes.

In another possible implementation manner, the first determining module is configured to select a first water injection pipeline from a plurality of the water injection pipelines, determine at least one third water injection pipeline forming a closed path with the first water injection pipeline from the plurality of the water injection pipelines by using a depth-first searching algorithm, and determine a first water injection base ring formed by the first water injection pipeline and the at least one third water injection pipeline; marking each water injection pipe in the first water injection base ring; and selecting a second water injection pipeline from unlabeled water injection pipelines, determining at least one fourth water injection pipeline forming a closed path with the second water injection pipeline by utilizing the depth-first search algorithm, and determining a second water injection base ring formed by the second water injection pipeline and the at least one fourth water injection pipeline until the unlabeled water injection pipeline does not exist.

In another possible implementation, the apparatus further includes:

the selecting module is used for selecting a fifth water injection pipeline from a plurality of water injection pipelines included in the water injection base rings;

the adjusting module is used for determining the position relation between the fifth water injection pipeline and the water injection pipelines except the fifth water injection pipeline; and adjusting the fifth water injection pipeline in response to the fifth water injection pipeline being staggered with other water injection pipelines until the fifth water injection pipeline after adjustment is not staggered with other water injection pipelines.

In another possible implementation manner, the establishing module is configured to determine an objective function with the lowest total energy consumption of the second oilfield water injection system according to the start-stop state and the operation parameter of each water injection pump; determining a constraint function corresponding to the objective function according to water supply and injection quantity balance of each water injection pump, water injection pump water quantity limit, water injection station water quantity and water injection well injection allocation pressure limit; and determining the energy consumption optimization model corresponding to the objective function and the constraint function.

In another possible implementation manner, the third determining module is configured to determine, by using a flow distribution model of water injection pipes, flow rates of a plurality of water injection pipes included in a plurality of water injection base rings; establishing an energy equation corresponding to the water injection base ring according to the flow rates of a plurality of water injection pipelines included in the water injection base ring; and constructing an energy balance model of the second oilfield water injection system through the energy equation.

In another possible implementation manner, the third determining module is configured to determine energy loss functions of a plurality of water injection pipelines according to flow rates of the water injection pipelines and resistance coefficients of the plurality of water injection pipelines; and determining the flow rates of a plurality of water injection pipelines included in a plurality of water injection base rings according to the energy loss function and the total energy loss of the water injection base rings.

In another possible implementation manner, the third determining module is configured to determine, for each water injection pump, a first operation parameter of the water injection pump through the energy balance model, and determine, according to the first operation parameter, a first total energy consumption of the second oilfield water injection system; determining injection allocation requirements of the second oilfield injection system according to the energy consumption optimization model; responding to the first total energy consumption to meet the injection allocation requirement, and taking the first operation parameter as the operation parameter of the water injection pump; and responding to the fact that the first total energy consumption does not meet the injection allocation requirement, adjusting the first operation parameter until second total energy consumption of the oilfield water injection system corresponding to the adjusted second operation parameter meets the injection allocation requirement, and taking the second operation parameter as the operation parameter of the water injection pump.

In another possible implementation manner, the third determining module is configured to determine a plurality of operation parameters of the water injection pump through a particle swarm algorithm, and select a first operation parameter of the water injection pump that meets the energy balance model from the plurality of operation parameters.

The technical scheme provided by the embodiment of the disclosure has the beneficial effects that:

In the embodiment of the disclosure, a plurality of first water injection nodes included in a first oilfield water injection system to be optimized are subjected to simplification treatment to obtain a plurality of second water injection nodes; determining a plurality of water injection rings formed by the water injection pipelines according to the water injection pipelines connected with the second water injection nodes; determining a second oilfield injection system comprising a plurality of injection water based rings; setting up an energy consumption optimization model of the second oilfield water injection system by taking the operation parameters of each water injection pump included in the plurality of second water injection nodes as variables and taking the minimum total energy consumption of the second oilfield water injection system as a target; and constructing an energy balance model of the second oilfield water injection system according to the flow in the water injection pipeline, and performing simulation on the second oilfield water injection system through the energy balance model to determine the operation parameters of each water injection pump meeting the energy consumption optimization model. The plurality of simplified second water injection nodes are obtained as a result of the simplification of the plurality of first water injection nodes included in the first oilfield water injection system; the dimension of the energy balance model is effectively reduced, and the calculation time required for solving the energy consumption of the oilfield flooding system is shortened; the dimension of the energy balance model is small, so that the accumulated error is small in the process of solving the energy consumption of the oilfield water injection system; therefore, the efficiency and the accuracy of energy consumption optimization of the oilfield water injection system are improved.

Drawings

In order to more clearly illustrate the technical solutions of the embodiments of the present application, the drawings required for the description of the embodiments will be briefly described below, and it is apparent that the drawings in the following description are only some embodiments of the present application, and other drawings may be obtained according to these drawings without inventive effort for a person skilled in the art.

Fig. 1 is an environmental schematic diagram of an implementation of a method for optimizing energy consumption of an oilfield water injection system according to an embodiment of the disclosure;

FIG. 2 is a flow chart of a method for optimizing energy consumption of an oilfield water injection system provided in an embodiment of the disclosure;

FIG. 3 is a flow chart of a method for optimizing energy consumption of an oilfield water injection system provided in an embodiment of the disclosure;

FIG. 4 is a schematic diagram of a method for optimizing energy consumption of an oilfield water injection system provided in an embodiment of the disclosure;

FIG. 5 is a block diagram of an energy consumption optimizing apparatus for an oilfield water injection system provided in an embodiment of the disclosure;

fig. 6 is a block diagram of another energy consumption optimizing apparatus for an oilfield water injection system provided in an embodiment of the disclosure.

Detailed Description

For the purpose of making the objects, technical solutions and advantages of the present application more apparent, the embodiments of the present application will be described in further detail with reference to the accompanying drawings.

Fig. 1 is an environmental schematic diagram of an implementation of a method for optimizing energy consumption of an oilfield water injection system according to an embodiment of the disclosure. The oilfield injection system includes a first injection station 10, a water injection network 20, a first water distribution plenum 30, and a first injection well 40. The first water injection station 10 is connected with a first water distribution room 30 through a water injection pipe network 20, and the first water distribution room 30 is connected with at least one first water injection well 40. The first water injection station 10 is used for boosting injection water through a water injection pump and delivering the injection water to the water injection pipe network 20. The water injection network 20 includes a water injection trunk line, a water injection branch line, and a single well line through which injection water is delivered to the first water distribution room 30; the flow rate of the injection water in each first water injection well 40 is measured by the first water distribution room 30, and the injection water is distributed to each first water injection well 40.

In the production process of the oilfield water injection system, the processes of injection water boosting, injection water conveying, injection water distribution, injection water injection and the like in the oilfield water injection system have energy consumption. Because the first water injection station 10, the first water distribution room 20, the first water injection well 40 and the water injection pipe network 20 are communicated with each other and the energy is sequentially transferred and mutually influenced, the pressure fluctuation of a local point in the oilfield water injection system can cause the change of the whole energy distribution of the oilfield water injection system network.

Fig. 2 is a flow chart of a method of optimizing energy consumption of an oilfield water injection system provided for an embodiment of the disclosure.

Step 201, performing simplification treatment on a plurality of first water injection nodes included in a first oilfield water injection system to be optimized to obtain a plurality of second water injection nodes.

Step 202, determining a plurality of water injection rings formed by the water injection pipelines according to the water injection pipelines connected with the second water injection nodes.

Step 203, determining a second oilfield water injection system consisting of a plurality of water injection based rings.

And 204, taking the operation parameters of each water injection pump included in the plurality of second water injection nodes as variables, and taking the minimum total energy consumption of the second oilfield water injection system as a target, and establishing an energy consumption optimization model of the second oilfield water injection system.

And 205, constructing an energy balance model of the second oilfield water injection system according to the flow in the water injection pipeline, and performing simulation on the second oilfield water injection system through the energy balance model to determine the operation parameters of each water injection pump meeting the energy consumption optimization model.

In one possible implementation, the first water injection node comprises a first water injection well, a first water distribution site, and a first water injection station; simplifying a plurality of first water injection nodes included in a first oilfield water injection system to be optimized to obtain a plurality of second water injection nodes, including:

in response to the second water distribution room being connected with only one first water injection station, simplifying the second water distribution room and the first water injection station by using an equivalent recurrence method to obtain a plurality of simplified second water injection stations; determining a plurality of second water injection stations as a plurality of second water injection nodes;

in response to the second water distribution site being connected to the plurality of first water injection stations, the plurality of second water distribution sites is identified as a plurality of second water injection nodes.

In another possible implementation, determining a plurality of water injection rings of a plurality of water injection pipes from a plurality of water injection pipes connected to a plurality of second water injection nodes includes:

Marking each water injection pipeline in the first water injection base ring;

and selecting a second water injection pipeline from unlabeled water injection pipelines, determining at least one fourth water injection pipeline forming a closed path with the second water injection pipeline by utilizing a depth-first search algorithm, and determining a second water injection base ring formed by the second water injection pipeline and the at least one fourth water injection pipeline until the unlabeled water injection pipeline does not exist.

In another possible implementation, the method further includes:

selecting a fifth water injection pipeline from a plurality of water injection pipelines included in the plurality of water injection rings;

and adjusting the fifth water injection pipeline in response to the fifth water injection pipeline being staggered with the other water injection pipelines until the adjusted fifth water injection pipeline is not staggered with the other water injection pipelines.

In another possible implementation, with the operating parameter of each water injection pump included in the plurality of second water injection nodes as a variable and with the total energy consumption of the second oilfield water injection system as a minimum, establishing an energy consumption optimization model of the second oilfield water injection system includes:

Determining a constraint function corresponding to the objective function according to water supply and injection quantity balance of each water injection pump, water injection pump water quantity limitation, water injection station water quantity and water injection well injection allocation pressure limitation;

and determining an energy consumption optimization model corresponding to the objective function and the constraint function.

In another possible implementation, constructing an energy balance model of a second oilfield water injection system based on the flow in the water injection line includes:

determining flow rates of a plurality of water injection pipelines included in a plurality of water injection rings through a flow rate distribution model of the water injection pipelines;

according to the flow of a plurality of water injection pipelines included in the water injection rings, establishing an energy equation corresponding to the water injection rings;

and constructing an energy balance model of the second oilfield water injection system through an energy equation.

In another possible implementation, determining, by a flow distribution model of the water injection pipes, flow rates of a plurality of water injection pipes included in a plurality of water injection rings includes:

determining energy loss functions of a plurality of water injection pipelines according to the flow of the water injection pipelines and the resistance coefficients of the water injection pipelines;

the flow rates of a plurality of water injection pipes included in the plurality of water injection base rings are determined based on the energy loss function and the total energy loss of the water injection base rings.

In another possible implementation, performing a simulation of the second oilfield water injection system with the energy balance model to determine operational parameters of each water injection pump that satisfy the energy consumption optimization model includes:

for each water injection pump, determining a first operation parameter of the water injection pump through an energy balance model, and determining a first total energy consumption of a second oilfield water injection system according to the first operation parameter;

determining injection allocation requirements of the second oilfield water injection system according to the energy consumption optimization model;

and in response to the first total energy consumption not meeting the injection allocation requirement, adjusting the first operation parameter until the second total energy consumption of the oilfield water injection system corresponding to the adjusted second operation parameter meets the injection allocation requirement, and taking the second operation parameter as the operation parameter of the water injection pump.

In another possible implementation, determining, by an energy balance model, a first operating parameter of a water injection pump includes:

Fig. 3 is a flow chart of another method of optimizing energy consumption of an oilfield water injection system provided for an embodiment of the disclosure.

Step 301, a computer device determines a connection relationship between each first water injection well and a first water distribution room included in a first oilfield water injection system, and in response to the first water injection well being connected with only one first water distribution room, simplifies the first water injection well and the first water distribution room by using an equivalent recurrence method to obtain a plurality of simplified second water distribution rooms.

In the step, for each first water injection well included in the first oilfield water injection system, the computer equipment determines a connection relationship between each first water injection well and the first water distribution room, and if the first water injection well is connected with only one first water distribution room, the first water injection well and the first water distribution room are simplified by using an equivalent recurrence method, so that a simplified second water distribution room is obtained; if a first water injection well is connected to a plurality of first water distribution sites, the first water injection well is not simplified.

In one possible implementation, if the first water injection well is connected to only one first water distribution site, the computer device may utilize an equivalent recurrence method to simplify the first water injection well and the first water distribution site. The equivalent recurrence method can be to accumulate the injection allocation of the first water injection well into the injection allocation of the first water distribution room; the first water injection well and the first water distribution room are simplified into a second water distribution room. The injection quantity of the second water distribution room is the sum of the injection quantity of the first water injection well and the injection quantity of the first water distribution room. That is, if the first water injection well is connected with only one first water distribution room, the injection amount of the first water injection well is accumulated to the first water distribution room, and the first water injection well is deleted, thereby realizing simplification of the first water injection well.

In another possible implementation, if the first water injection well is connected to the plurality of first water distribution rooms, the injection amounts of the first water injection well cannot be accumulated to the injection amounts of the plurality of first water distribution rooms by the equivalent recurrence method, and simplification of the first water injection well is not performed.

Step 302, the computer equipment determines the connection relation between each second water distribution room and the first water injection station; responding to the second water distribution room to be connected with only one first water injection station, simplifying the second water distribution room by using an equivalent recurrence method to obtain a plurality of simplified second water injection stations; determining a plurality of second water injection stations as a plurality of second water injection nodes; in response to the second water distribution site being connected to the plurality of first water injection stations, the plurality of second water distribution sites is identified as a plurality of second water injection nodes.

In the step, the computer equipment determines the connection relation between the second water distribution room and the first water injection station, if the second water distribution room is connected with only one first water injection station, the second water distribution room and the first water injection station are simplified by using an equivalent recurrence method, and a simplified second water injection station is obtained; if the second water distribution room is connected to a plurality of first water injection stations, no simplification is made.

In one possible implementation, if the second water distribution site is connected to only one first water injection station, the computer device may continue to simplify the second water distribution site and the first water injection station using an equivalent recurrence method. The equivalent recurrence method can be to accumulate the injection allocation of the second water distribution room into the injection allocation of the first water injection station; simplifying the second water distribution room and the first water injection station into a second water injection station. The injection quantity of the second water injection station is the sum of the injection quantity of the second water distribution room and the injection quantity of the first water injection station. That is, if the second water distribution room is connected with only one first water injection station, the injection amount of the second water distribution room is accumulated to the first water injection station, and the second water distribution room is deleted, thereby realizing simplification of the second water distribution room and the first water injection station.

In another possible implementation, if the second water distribution room is connected to the plurality of first water injection stations, the injection amounts of the second water distribution room cannot be added up to the injection amounts of the plurality of first water injection stations by the equivalent recurrence method, and simplification of the second water distribution room and the first water injection stations is not performed.

It should be noted that, in the process of simplifying the first water injection well, the injection allocation of the first water injection well includes the injection allocation of the first water injection well itself and the injection allocation in the water injection pipe connected between the first water injection well and the first water injection room. In the process of simplifying the second water distribution room, the injection quantity of the second water distribution room comprises the injection quantity of the second water distribution room and the injection quantity of a water injection pipeline connected with the first water distribution station of the second water distribution room. Therefore, in simplifying the first water injection well and the second water distribution room, the water injection pipeline connected with the first water injection well and the water injection pipeline connected with the second water distribution room are simplified.

For example, the ground water injection system of a certain alpine oilfield in northeast is simplified, the water injection system is provided with 6635 water injection nodes such as a water injection station, a water injection well, a water distribution room and the like, the number of pipelines is 6342, the water injection system is a typical large-scale annular water injection system, after the water injection system is simplified by an equivalent recurrence method, the number of water injection nodes 2396, the number of pipelines 2479, the number of simplified water injection nodes is 63.9%, and the number of simplified pipelines is 60.9%, and the simplification effect is obvious.

In an embodiment of the present disclosure, a water injection node includes a first water injection well, a first water distribution room, and a first water injection station. The computer equipment can simplify a plurality of first water injection wells, first water distribution rooms and first water injection stations included in the oilfield water injection system according to the connection relation among the first water injection wells, the first water distribution rooms and the first water injection stations to obtain second water injection nodes, so that the oilfield water injection system can be effectively simplified, the dimension of an energy balance model is reduced, and the calculation time required for solving the energy consumption of the oilfield water injection system is shortened.

Step 303, the computer equipment determines a plurality of water injection rings formed by the water injection pipelines according to the water injection pipelines connected with the second water injection nodes.

In an embodiment of the present disclosure, referring to fig. 4, the computer device may determine the base ring of water injection pipe compositions by a depth-first search algorithm. Accordingly, the step may include: selecting a first water injection pipeline from a plurality of water injection pipelines, determining at least one third water injection pipeline forming a closed path with the first water injection pipeline from the plurality of water injection pipelines by utilizing a depth-first search algorithm, and determining a first water injection base ring formed by the first water injection pipeline and the at least one third water injection pipeline; marking each water injection pipeline in the first water injection base ring; selecting a second water injection pipeline from unlabeled water injection pipelines, determining at least one fourth water injection pipeline forming a closed path with the second water injection pipeline by utilizing a depth-first search algorithm, and determining a second water injection base ring formed by the second water injection pipeline and the at least one fourth water injection pipeline; until there is no unlabeled water injection line.

In one possible implementation, the computer device randomly selects a first water injection pipe from among the water injection pipes; accordingly, a computer device selects a first water injection pipe from among the water injection pipes, determines at least one third water injection pipe from among the plurality of water injection pipes that forms a closed path with the first water injection pipe using a depth-first search algorithm, determines a first water injection based annulus of the first water injection pipe and the at least one third water injection pipe, comprising: the computer equipment randomly selects a first water injection pipeline from the water injection pipelines; determining at least one third water injection pipeline forming a closed path with the first water injection pipeline from a plurality of water injection pipelines by taking one end point of the first water injection pipeline as a source point and adopting a depth-first search algorithm; a first water injection annulus is defined from the closed path comprising the first water injection conduit and at least one third water injection conduit.

In the embodiment of the disclosure, with one end point of the first water injection pipeline as a source point, the depth-first search algorithm may be used to find a closed path to the other end point. That is, the closed path of the first water injection conduit and the at least one third water injection conduit may be one or more.

In one possible implementation, with one end point of the first water injection pipe as a source point, a depth-first search algorithm is used to find that a closed path to the other end point is one, and the computer device determines that the first water injection pipe and at least one third water injection pipe in the closed path form a first water injection base ring.

In another possible implementation manner, with one end point of the first water injection pipeline as a source point, a depth-first search algorithm is adopted to find that a plurality of closed paths reach the other end point, and accordingly, the computer equipment determines a first water injection base ring formed by the first water injection pipeline and at least one third water injection pipeline according to the closed paths.

In one possible implementation, the computer device may store the number of water injection pipes included in each closed path, and select a closed path with the smallest number of water injection pipes from the plurality of closed paths according to the stored result.

For example, the first water injection line selected by the computer device is (v) _s ,v _e ) A first water injection pipe (v _s ,v _e ) Is determined as the initial pipe, so as to start a certain endpoint v of the pipe _s As the source point, a depth-first search algorithm is adopted to find the arrival of another endpoint v _e The number of the closed paths is multiple, and the number of the water injection pipelines contained in each searched closed path is stored; and selecting a closed path with the minimum water injection pipeline number from a plurality of closed paths according to the storage result, and determining that a first water injection pipeline and at least one third water injection pipeline in the closed path with the minimum water injection pipeline number form a first water injection base ring.

In another possible implementation, the computer device determines a first water injection base ring formed by the first water injection pipe and the at least one third water injection pipe according to the closed paths, including the computer device determining a total length of the water injection pipes included in each closed path, selecting a closed path with a minimum total length of the water injection pipes from a plurality of closed paths, and determining that the first water injection pipe and the at least one third water injection pipe in the closed path with the minimum total length of the water injection pipes form the first water injection base ring. The computer equipment can store the total length of the water injection pipelines contained in each closed path, and select a closed path with the minimum total length of the water injection pipelines from a plurality of closed paths according to the storage result.

In embodiments of the present disclosure, the computer device may determine the first water injection annulus by a depth-first search algorithm, and after marking each water injection conduit in the first water injection annulus, continue to determine the other water injection annulus by the depth-first search algorithm until there are no unlabeled water injection conduits.

In one possible implementation, a second water injection pipe is selected from the unlabeled water injection pipes, at least one fourth water injection pipe forming a closed path with the second water injection pipe is determined using a depth-first search algorithm, and a second water injection base ring of the second water injection pipe and the at least one fourth water injection pipe is determined until there is no unlabeled water injection pipe. Wherein the method of determining the second water injection based ring is the same as the method of determining the first water injection based ring using a depth first search algorithm. Wherein the first water injection based ring and the second water injection based ring are related to the selected water injection pipes, and are not related to the sequence of the selected water injection pipes. That is, the selected water injection pipelines are different, and the determined water injection base rings are different through a depth-first search algorithm.

In one possible implementation, after the second water injection annulus is determined, each water injection conduit in the second water injection annulus is marked; until there are no unlabeled water injection lines, the selection of the second water injection line is stopped.

Step 304, the computer device determines a second oilfield water injection system comprised of a plurality of water injection based rings.

In this step, the plurality of water injection based rings includes a first water injection based ring and a plurality of second water injection based rings, and the second oilfield water injection system is formed by the first water injection based ring and the plurality of second water injection based rings.

In one possible implementation, the second oilfield injection system is determined by marking the injection lines. Marking the pipeline in the first water injection base ring and the water injection pipelines in the plurality of second water injection base rings by computer equipment; when the water injection lines are all marked, it is determined that the first water injection annulus and the plurality of second water injection annuli form a second oilfield water injection system.

In another possible implementation, the second oilfield water injection system is determined by marking the water injection based annulus. Marking the plurality of water injection based rings by the computer device; when the first water-injection-based annulus and the plurality of second water-injection-based annuli are all marked, it is determined that the first water-injection-based annulus and the plurality of second water-injection-based annuli comprise a second oilfield water injection system.

It should be noted that before determining that the first water injection ring and the plurality of second water injection rings constitute the second oilfield water injection system, it is necessary to confirm the positional relationship of the water injection pipes included in the first water injection ring and the water injection pipes included in the plurality of second water injection rings. The positional relationship between the water injection pipeline and other water injection pipelines comprises an interlaced relationship and a non-interlaced relationship.

In one possible implementation, with continued reference to fig. 4, the position of the water injection conduit is adjusted when the water injection conduit is in a staggered relationship with other water injection conduits. Correspondingly, the computer equipment selects a fifth water injection pipeline from a plurality of water injection pipelines included in the plurality of water injection rings; determining the position relation between the fifth water injection pipeline and other water injection pipelines except the fifth water injection pipeline; responding to the interleaving of the fifth water injection pipeline and other water injection pipelines, and adjusting the fifth water injection pipeline until the fifth water injection pipeline after adjustment is not interleaved with the other water injection pipelines; marking the fifth water injection line as adjusted; in response to the plurality of water injection lines being marked in their entirety, the step of determining that the first water injection annulus and the plurality of second water injection annulus form a second oilfield water injection system is performed.

In the embodiment of the disclosure, the computer device may determine the positional relationship of the fifth water injection pipe and the other water injection pipes except for the fifth water injection pipe according to whether the fifth water injection pipe belongs to the other water injection pipe.

In one possible implementation, the water injection pipes included in the first water injection base ring and the water injection pipes included in the plurality of second water injection base rings are the same water injection pipe; that is, the fifth water injection pipeline belongs to a plurality of water injection rings, and the fifth water injection pipeline is determined to be staggered with other water injection pipelines.

Correspondingly, the computer device determines the positional relationship of the fifth water injection pipe and other water injection pipes except the fifth water injection pipe, adjusts the fifth water injection pipe in response to the fifth water injection pipe being staggered with the other water injection pipes until the adjusted fifth water injection pipe is not staggered with the other water injection pipes, and comprises: the computer device determining whether the fifth water injection pipe belongs to a third water injection base ring other than the currently-belonging water injection base ring, adjusting the fifth water injection pipe in response to the fifth water injection pipe belonging to the third water injection base ring; until a new third water injection ring is not present, the adjustment of the fifth water injection pipe is stopped.

In one possible implementation, the injection allocation in the fifth injection pipe is the total injection allocation of the plurality of water injection based rings; correspondingly, the computer device adjusts the fifth water injection pipeline, and comprises: the computer equipment determines the injection allocation quantity of a fifth water injection pipeline in each water injection ring; and adjusting the position of the fifth water injection pipeline in the water injection base ring according to the injection allocation.

In one possible implementation, the injection allocation in the fifth injection pipe is related to the length of the fifth injection pipe; the longer the length of the fifth water injection pipe is, the larger the injection allocation amount in the fifth water injection pipe is. Correspondingly, the computer equipment adjusts the position of the fifth water injection pipeline in the water injection base ring according to the injection allocation quantity, and the method comprises the following steps: the computer equipment determines the equivalent length of the fifth water injection pipe according to the injection allocation amount of the fifth water injection pipe in the water injection base ring; and adjusting the position of the fifth water injection pipeline in the water injection base ring according to the equivalent length.

For example, a fifth water injection pipe (v _i ,v _j ) Is 5m in length; the total injection allocation amount in the fifth water injection pipe is 5m ³ The method comprises the steps of carrying out a first treatment on the surface of the Wherein the fifth water injection pipe (v _i ,v _j ) The starting point is v _i Fifth water injection pipe (v) _i ,v _j ) End point v of (2) _j . The injection allocation amount of the fifth water injection pipeline in the first water injection base ring is 3m ³ The injection allocation amount in the third water injection based ring is 2m ³ Determining that the equivalent length of the fifth water injection pipe in the first water injection base ring is 3m; according to the equivalent length, determining the end point of the fifth water injection pipe as v _mid The method comprises the steps of carrying out a first treatment on the surface of the Wherein v is _i To v _mid Is 3m in length; adjusting the end point v of the fifth water injection pipe in the first water injection base ring _j Adjusted to v _mid 。

In another possible implementation, the positional relationship of the fifth water injection pipe and the other water injection pipes except for the fifth water injection pipe is a non-staggered relationship; correspondingly, the computer equipment selects a fifth water injection pipeline from a plurality of water injection pipelines included in the plurality of water injection rings; determining the position relation between the fifth water injection pipeline and other water injection pipelines except the fifth water injection pipeline; in response to the fifth water injection conduit not being staggered from the other water injection conduits, the fifth water injection conduit is marked as adjusted.

In one possible implementation, the water injection pipes included in the first water injection base ring and the water injection pipes included in the plurality of second water injection base rings do not have the same water injection pipe, i.e., the fifth water injection pipe belongs to one water injection base ring, and it is determined that the fifth water injection pipe is not staggered with other water injection pipes.

In the embodiment of the application, the computer equipment confirms the position relation of the water injection pipelines included in the water injection rings; if the fifth water injection pipeline is staggered with other water injection pipelines, the flow rate of the fifth water injection pipeline is adjusted; the repeated calculation of the flow in the water injection pipeline in a plurality of water injection base rings can be avoided; thereby ensuring the accuracy of the flow in the first water injection base ring and the second water injection base rings.

And 305, the computer equipment establishes an energy consumption optimization model of the second oilfield water injection system by taking the operation parameters of each water injection pump included in the plurality of second water injection nodes as variables and taking the minimum total energy consumption of the second oilfield water injection system as a target.

In the embodiment of the disclosure, energy consumption is different due to different operation parameters of the water injection pump; the minimum total energy consumption of the second oilfield injection system is related to the start-stop status and operating parameters of the injection pumps of each injection pump in the second oilfield injection system. Wherein the second water injection node comprises at least one water injection pump.

In one possible implementation, with continued reference to fig. 4, an energy consumption optimization model of the second oilfield injection system is established targeting the lowest total energy consumption of the second oilfield injection system. Accordingly, the step may include: determining an objective function with the lowest total energy consumption of the second oilfield water injection system according to the start-stop state and the operation parameters of each water injection pump; determining a constraint function corresponding to the objective function according to water supply and injection quantity balance of each water injection pump, water injection pump water quantity limitation, water injection station water quantity and water injection well injection allocation pressure limitation; and determining an energy consumption optimization model corresponding to the objective function and the constraint function.

In one possible implementation, according to the start-stop state and the operation parameter of each water injection pump, determining the objective function with the lowest total energy consumption of the second oilfield water injection system as formula (1):

formula (1):

wherein H is _i The unit is that the lift of the i-th water injection pump is: m; q (Q) _i The unit is that the displacement of the ith water injection pump is: m is m ³ /h；η _pi For the ith water injection pump, the discharge capacity is Q _i The unit of the efficiency is: the%; η (eta) _mi For the efficiency of the motor driving the ith water injection pump, the unit is: the%; n (N) _p The total number of water injection pumps is as follows: a stage; ρ is the fluid density in units of: kg/m ³ The method comprises the steps of carrying out a first treatment on the surface of the g is the gravitational acceleration in units of: m/s ² ；t _i The unit is the running time of the ith pump: h, performing H; gamma is the unit conversion coefficient, and is a constant of 3.6X10 ^-6 。

In one possible implementation, the constraint function corresponding to the objective function is determined according to water supply balance of each water injection pump, water injection pump water quantity, water injection station water quantity and water injection well injection allocation pressure limit.

According to the water supply and injection quantity balance of each water injection pump, determining a constraint function corresponding to the objective function as a formula (2):

formula (2):

wherein N is _w Is the total number of water injection wells in the system.

According to injection allocation pressure limitation of the water injection well, determining a constraint function corresponding to the objective function as a formula (3):

Equation (3):

wherein, the liquid crystal display device comprises a liquid crystal display device,the lowest injection pressure required for the ith injection well.

According to the water injection pump water quantity, determining a constraint function corresponding to the objective function as a formula (4):

equation (4):

wherein, the liquid crystal display device comprises a liquid crystal display device,minimum and maximum displacement for the ith water injection pump to operate in the high efficiency zone.

According to the water quantity of the water injection station, determining a constraint function corresponding to the objective function as a formula (5):

equation (5):

wherein n is _i The number of the water injection pumps running in the ith water injection station is the number of the water injection pumps running in the ith water injection station;the upper limit value and the lower limit value of the water injection quantity of the ith water injection station are set; m is the number of water injection stations.

In one possible implementation, a system of equations that satisfies both the objective function and the constraint function is determined as the energy consumption optimization model.

And 306, constructing an energy balance model of the second oilfield water injection system by the computer equipment according to the flow in the water injection pipeline.

In one possible implementation, the construction of the energy balance model of the second oilfield water injection system based on the flow in the water injection pipeline may be achieved by the following steps (1) to (3):

(1) And determining the flow rates of the water injection pipelines included in the water injection rings through a flow distribution model of the water injection pipelines.

In one possible implementation, the step includes: determining an energy loss function of the water injection pipeline according to the flow rate of the water injection pipeline and the resistance coefficient of the water injection pipeline; the flow rates of a plurality of water injection pipes included in the water injection base ring are determined based on the energy loss function and the total energy loss of the water injection base ring.

Wherein the energy loss function is formula (6):

equation (6):

where f is energy loss, s _ij Is the resistance coefficient of the water injection pipeline; q _ij Is the flow of water injection pipeline flowing from the second water injection node i to the second water injection node j; p is the number of water injection pipes.

It should be noted that the flow direction of the water in the water injection pipeline may be different, for example, the flow direction of the water in the water injection pipeline may be the second water injection node j to the second water injection node i, and the flow rate of the water injection pipeline is-q _ij . Wherein, -q _ij ＝q _ij Symbols represent the flow direction of the water in the water injection pipe.

In one possible implementation, determining the flow rate of a plurality of water injection pipes included in the water injection base ring according to the energy loss function and the total energy loss of the water injection base ring comprises: the method comprises the steps of taking the minimum total energy loss of a water injection base ring as a target, taking water injection node flow balance as a constraint condition, and establishing a flow distribution model of a water injection pipeline; and determining the flow of a plurality of water injection pipelines included in the water injection base ring according to the flow distribution model.

The flow distribution model of the water injection pipeline is an equation set (1):

equation set (1):

where f is energy loss, s _ij Is the resistance coefficient of the water injection pipeline; q _ij Is the flow of water injection pipeline flowing from the second water injection node i to the second water injection node j; p is the number of water injection pipelines; q (Q) _i The flow flowing into the water injection node i for the water injection pipeline; q (Q) _is Total flow into the water injection node i for the origin of the water injection pipe; n is n _i Is the number of water injection pipes connected to the second water injection node i.

(2) And establishing an energy equation corresponding to the water injection ring according to the flow of the water injection pipelines in the water injection ring.

In one possible implementation, the flow rate of the plurality of water injection pipes determined by the computer device according to equation (1) is the flow rate in the plurality of water injection pipes when the total energy loss of the water injection base ring is minimal. At this time, the flow distribution model is a flow optimal distribution model.

Correspondingly, the method comprises the following steps: and the computer equipment establishes an energy equation corresponding to the water injection ring according to the flow of the water injection pipelines in the flow optimal distribution model.

Wherein the energy equation corresponding to the first water injection base ring is F ₁ (q ₁ ,q ₂ ,q ₃ ,…,q _f )＝ΔH ₁ The method comprises the steps of carrying out a first treatment on the surface of the The energy equation corresponding to the second water injection based ring is: f (F) ₂ (q _g ,q _g+1 ,q _g+2 ,…,q _j )＝ΔH ₂ The method comprises the steps of carrying out a first treatment on the surface of the The energy equation corresponding to the L water injection based ring is: f (F) _L (q _m ,q _m+1 ,q _m+2 ,…,q _p )＝ΔH _L 。

Wherein q _i Representing the flow corresponding to the ith water injection pipeline; l is the number of water injection base rings; ΔH _j Represents the difference in closure energy of the water-injected ring j; wherein F is the 1 st water injection ring F ₁ The number of internal water injection pipes; j-g is the 2 nd water injection ring F ₂ The number of internal water injection pipes; p-m is the L-th water injection ring F _L The number of internal water injection pipes.

(3) And constructing an energy balance model of the second oilfield water injection system through an energy equation.

In one possible implementation, the step includes: and determining an energy equation corresponding to each base ring, and determining an energy equation set consisting of a plurality of energy equations as an energy balance model of the second oilfield water injection system. In one possible implementation, with continued reference to fig. 4, a system of energy equations is built in units of a base ring.

Wherein, the energy equation set formed by a plurality of energy equations is equation set (2):

equation set (2):

Step 307, the computer device carries out simulation on the second oilfield water injection system through the energy balance model, and determines the operation parameters of each water injection pump meeting the energy consumption optimization model.

In the embodiment of the application, the operation parameters of the water injection pump corresponding to each feasible scheme not only meet the energy balance model, but also meet the energy consumption optimization model.

In one possible implementation, performing a simulation of the second oilfield water injection system with the energy balance model to determine operational parameters of each water injection pump that satisfy the energy consumption optimization model includes: for each water injection pump, determining a first operation parameter of the water injection pump through an energy balance model, and determining a first total energy consumption of a second oilfield water injection system according to the first operation parameter; determining injection allocation requirements of the second oilfield water injection system according to the energy consumption optimization model; responding to the first total energy consumption to meet the injection allocation requirement, and taking the first operation parameter as the operation parameter of the water injection pump; and in response to the first total energy consumption not meeting the injection allocation requirement, adjusting the first operation parameter until the second total energy consumption of the second oilfield water injection system corresponding to the adjusted second operation parameter meets the injection allocation requirement, and taking the second operation parameter as the operation parameter of the water injection pump.

In one possible implementation, determining, for each water injection pump, a first operating parameter of each water injection pump by an energy balance model includes: and determining a plurality of operation parameters of each water injection pump through a particle swarm algorithm, and selecting a first operation parameter of each water injection pump meeting an energy balance model from the plurality of operation parameters.

Wherein, the operation parameters of the plurality of water injection pumps can be the same or different. In one possible implementation, the operating parameter may be the operating efficiency of the motor of the water injection pump. When the operation efficiency of the motor increases, the water injection pressure of the water injection pump increases, the displacement of the water injection pump increases, and the flow rate of the water injection pipe connected to the water injection node also increases.

It should be noted that the particle group includes a plurality of particles, and the open states of the water injection pumps corresponding to each particle are different, that is, the operation schemes of the water injection pumps corresponding to each particle are different. After the open states of the plurality of water injection pumps are determined, an operation scheme meeting the energy consumption optimization model can be obtained by adjusting the operation parameters of each water injection pump.

In one possible implementation, determining a plurality of operation parameters of each water injection pump by a particle swarm algorithm, selecting a first operation parameter of the water injection pump that satisfies an energy balance model from the plurality of operation parameters, including: the computer equipment carries out simulation calculation according to a decyclization method, and determines a first operation parameter of each water injection pump meeting the energy balance model.

For example, 50 particles are contained in the set particle group; particle swarm algorithm inertial weight w=0.8; learning factor c ₁ ＝c ₂ =0.8; the maximum iteration number is I _max =500. For each particle, the computer device performs a simulation calculation according to the solution. The ring opening method is to adjust the closing energy difference corresponding to the base ring by increasing the ring correction flow delta q continuously. In one possible implementation, the convergence accuracy of the annular correction flow Δq in the decycling method is such that the difference between the flows of the two preceding and succeeding times is not more than 0.02m ³ 。

In one possible implementation, the coding scheme of the particles is:in the method, in the process of the application,k is a natural number, and k is less than or equal to 50, < + >>Is the position of the jth water injection pump in the kth particle. Wherein for each particle the +.o can be adjusted by loop correction flow Δq>I.e. the position of each water injection pump in the particle is adjusted by adjusting the flow rate of the water injection pump.

In the embodiment of the application, for the information of each particle, the initial flow rate of a plurality of water injection pipelines included in the water injection base ring can be determined through a flow rate distribution model of the water injection pipelines.

In one possible implementation manner, simulation calculation is performed according to a solution loop method, and a first operation parameter of a water injection pump meeting an energy balance model is determined, including determining a closing energy difference corresponding to each base loop in an energy equation according to initial flow rates of a plurality of water injection pipelines, wherein the closing energy difference corresponding to each base loop is smaller than a first energy threshold, and determining that the first operation parameter of the water injection pump meets the energy balance model.

And for each particle, determining an energy equation corresponding to each base ring, and determining an equation set consisting of a plurality of energy equations as an energy balance model.

The equation set formed by the energy equations is as follows:

Wherein the first energy threshold may be a thresholdInjection into water injection pipe 0.01m ³ -0.05m ³ The energy required for any flow. For example, the first energy threshold may be 0.02m into the water injection pipe ³ The energy required for the flow. I.e. the initial flow rate of the corresponding water injection pipelines in the particle is less than 0.02m of the closing energy difference ³ The energy required for the flow.

In another possible implementation manner, the computer device performs simulation calculation according to a solution loop method to determine a first operation parameter of the water injection pump meeting the energy balance model, and the method includes that the computer device determines a closed energy difference corresponding to each base loop in an energy equation according to initial flow of a plurality of water injection pipelines, adjusts the flow in the base loop until the closed energy difference corresponding to each base loop in the adjusted energy equation is smaller than a first energy threshold, and determines that the first operation parameter of the water injection pump meets the energy balance model.

In one possible implementation, with continued reference to fig. 4, the computer device adjusts the flow in the base ring by ring correction flow, adds the flow of each water injection pipe in the base ring to the ring correction flow, and updates the flow of the water injection pipe. In one possible implementation, the computer device may solve for the ring corrected flow Δq using Newton's method _i The method comprises the steps of carrying out a first treatment on the surface of the Wherein Δq _i Indicating the ring corrected flow corresponding to the ith water injection pipe.

Correspondingly, the adjusted energy balance equation set is equation set (3):

equation set (3):

wherein q _i Representing the flow corresponding to the ith water injection pipeline; l is the number of water injection base rings; Δq _i Indicating the ring correction flow corresponding to the ith water injection pipeline; wherein F is the 1 st water injection ring F ₁ The number of internal water injection pipes; j-g is the 2 nd water injection ring F ₂ The number of internal water injection pipes; p-m is the L-th water injection ring F _L The number of internal water injection pipes.

In one possible implementation, with continued reference to fig. 4, the computer device determines whether the difference in closure energies in the energy equations corresponding to each base ring after adjustment satisfies a convergence condition; that is, whether the closing energy difference in the energy equation corresponding to each base ring after adjustment is smaller than 0.02m is injected into the water injection pipeline ³ The energy required for the flow. If the convergence condition is not met, continuing to adjust the flow in the base ring; and if the convergence condition is met, determining that the first operation parameter of the water injection pump meets the energy balance model.

In one possible implementation, the difference in closing energy in the energy equation for each base ring after adjustment is close to zero, and is less than the first energy threshold. In the embodiment of the present application, with continued reference to fig. 4, the operation parameter of each water injection pump that satisfies the energy balance model is the optimal solution operation parameter of the particle, that is, the particle fitness function value.

In one possible implementation, the computer device determines a injection allocation requirement of the second oilfield injection system based on the energy consumption optimization model; and responding to the first total energy consumption meeting the injection allocation requirement, and taking the first operation parameter as the operation parameter of the water injection pump. At this time, the first operation parameter is an optimal solution parameter, that is, the particle fitness function value.

In one possible implementation, the injection allocation requirement for the first total energy consumption is that the injection pressure of the water injection well is greater than a first pressure threshold. The first pressure threshold may be a lowest pressure value of the water injection well, that is, an injection pressure of the water injection well is greater than the lowest pressure value of the water injection well. At this time, the first total energy consumption satisfies the energy consumption optimization model.

In another possible implementation, the injection allocation requirement may be that the flow rate of the water injection pipe is greater than a preset flow rate. The preset flow is the flow of the water injection pipeline when the total energy loss of the water injection base ring is minimum. At this time, the first total energy consumption satisfies the energy consumption optimization model.

In another possible implementation manner, the computer device adjusts the first operation parameter in response to the first total energy consumption failing to meet the injection allocation requirement, until the second total energy consumption of the second oilfield water injection system corresponding to the adjusted second operation parameter meets the injection allocation requirement, and takes the second operation parameter as the operation parameter of the water injection pump. At this time, the second operation parameter is the optimal solution parameter, that is, the particle fitness function value.

In one possible implementation, with continued reference to fig. 4, the computer device determines whether the first total energy consumption meets the injection allocation requirement, i.e., whether the first operating parameter meets the constraint. When the first operation parameter meets the constraint condition, determining that the first operation parameter is an optimal solution parameter; when the first operation parameter does not meet the constraint condition, updating the particles, and adjusting the first operation parameter; continuing to determine whether the second operating parameter meets the constraint condition; and taking the second operation parameter as the optimal solution parameter until the adjusted second operation parameter meets the constraint requirement. The second operation parameters are operation parameters of the water injection pump corresponding to other particles, and the first operation parameters are adjusted, namely the operation parameters of the water injection pump corresponding to other particles are replaced.

For example, a particle population contains 50 particles, 50 particles corresponding to 50 operating schemes; the operating parameters of the water injection pump are different in each operating regime. And if the number of the operation schemes meeting the injection allocation requirements is 10, the number of the operation parameters of each water injection pump meeting the energy consumption optimization model is 10.

In the embodiment of the application, a plurality of operation parameters of the water injection pump are determined through a particle swarm algorithm, and a first operation parameter of the water injection pump meeting an energy balance model is selected from the plurality of operation parameters; and carrying out simulation on the oilfield water injection system through the energy balance model, and determining the operation parameters of each water injection pump meeting the energy consumption optimization model. Since the operation parameters of each water injection pump meeting the energy consumption optimization model can be determined to be a plurality of through the particle swarm algorithm. When the operation parameters of one scheme cannot normally operate, the operation parameters of the other schemes can be directly replaced; therefore, the energy consumption optimization efficiency of the oilfield water injection system is improved.

Fig. 5 is a block diagram of an energy consumption optimizing device of an oilfield water injection system provided in an embodiment of the disclosure. The device comprises:

a simplification module 501, configured to simplify a plurality of first water injection nodes included in a first oilfield water injection system to be optimized, to obtain a plurality of second water injection nodes;

A first determining module 502, configured to determine a plurality of water injection rings formed by a plurality of water injection pipes according to a plurality of water injection pipes connected to a plurality of second water injection nodes;

a second determination module 503 for determining a second oilfield water injection system comprising a plurality of water injection rings;

a building module 504, configured to build an energy consumption optimization model of the second oilfield water injection system with an operation parameter of each water injection pump included in the plurality of second water injection nodes as a variable and with a minimum total energy consumption of the second oilfield water injection system as a target;

and the third determining module 505 is configured to construct an energy balance model of the second oilfield water injection system according to the flow in the water injection pipeline, perform simulation on the second oilfield water injection system through the energy balance model, and determine an operation parameter of each water injection pump meeting the energy consumption optimization model.

In one possible implementation, the first water injection node comprises a first water injection well, a first water distribution site, and a first water injection station; a simplifying module 501, configured to determine a connection relationship between each first water injection well and a first water distribution room, and in response to the first water injection well being connected to only one first water distribution room, simplify the first water injection well and the first water distribution room by using an equivalent recurrence method, so as to obtain a plurality of simplified second water distribution rooms; determining the connection relation between each second water distribution room and the first water injection station; in response to the second water distribution room being connected with only one first water injection station, simplifying the second water distribution room and the first water injection station by using an equivalent recurrence method to obtain a plurality of simplified second water injection stations; determining a plurality of second water injection stations as a plurality of second water injection nodes; in response to the second water distribution site being connected to the plurality of first water injection stations, the plurality of second water distribution sites is identified as a plurality of second water injection nodes.

In another possible implementation, the first determining module 502 is configured to select a first water injection pipe from a plurality of water injection pipes, determine at least one third water injection pipe from the plurality of water injection pipes that forms a closed path with the first water injection pipe using a depth-first search algorithm, and determine a first water injection base ring formed by the first water injection pipe and the at least one third water injection pipe; marking each water injection pipeline in the first water injection base ring; and selecting a second water injection pipeline from unlabeled water injection pipelines, determining at least one fourth water injection pipeline forming a closed path with the second water injection pipeline by utilizing a depth-first search algorithm, and determining a second water injection base ring formed by the second water injection pipeline and the at least one fourth water injection pipeline until the unlabeled water injection pipeline does not exist.

In another possible implementation, referring to fig. 6, the apparatus further includes:

a selecting module 506, configured to select a fifth water injection pipe from a plurality of water injection pipes included in the plurality of water injection rings;

an adjustment module 507 for determining a positional relationship between the fifth water injection pipe and the water injection pipes other than the fifth water injection pipe; and adjusting the fifth water injection pipeline in response to the fifth water injection pipeline being staggered with the other water injection pipelines until the adjusted fifth water injection pipeline is not staggered with the other water injection pipelines.

In another possible implementation, a module 504 is configured to determine an objective function with the lowest total energy consumption of the second oilfield injection system according to the start-stop status and the operation parameters of each injection pump; determining a constraint function corresponding to the objective function according to water supply and injection quantity balance of each water injection pump, water injection pump water quantity limitation, water injection station water quantity and water injection well injection allocation pressure limitation; and determining an energy consumption optimization model corresponding to the objective function and the constraint function.

In another possible implementation manner, the third determining module 505 is configured to determine, by using a flow distribution model of the water injection pipes, flow rates of a plurality of water injection pipes included in the plurality of water injection rings; according to the flow of a plurality of water injection pipelines included in the water injection rings, establishing an energy equation corresponding to the water injection rings; and constructing an energy balance model of the second oilfield water injection system through an energy equation.

In another possible implementation manner, the third determining module 505 is configured to determine an energy loss function of the plurality of water injection pipes according to the flow rate of the water injection pipes and the resistance coefficients of the plurality of water injection pipes; the flow rates of a plurality of water injection pipes included in the plurality of water injection base rings are determined based on the energy loss function and the total energy loss of the water injection base rings.

In another possible implementation manner, the third determining module 505 is configured to determine, for each water injection pump, a first operation parameter of the water injection pump through an energy balance model, and determine, according to the first operation parameter, a first total energy consumption of the second oilfield water injection system; determining injection allocation requirements of the second oilfield water injection system according to the energy consumption optimization model; responding to the first total energy consumption to meet the injection allocation requirement, and taking the first operation parameter as the operation parameter of the water injection pump; and in response to the first total energy consumption not meeting the injection allocation requirement, adjusting the first operation parameter until the second total energy consumption of the oilfield water injection system corresponding to the adjusted second operation parameter meets the injection allocation requirement, and taking the second operation parameter as the operation parameter of the water injection pump.

In another possible implementation, the third determining module 505 is configured to determine a plurality of operation parameters of the water injection pump through a particle swarm algorithm, and select a first operation parameter of the water injection pump that satisfies the energy balance model from the plurality of operation parameters.

In the embodiment of the disclosure, a plurality of simplified second water injection nodes are obtained by simplifying a plurality of first water injection nodes included in a first oilfield water injection system; the dimension of the energy balance model is effectively reduced, and the calculation time required for solving the energy consumption of the oilfield flooding system is shortened; the dimension of the energy balance model is small, so that the accumulated error is small in the process of solving the energy consumption of the oilfield water injection system; therefore, the efficiency and the accuracy of energy consumption optimization of the oilfield water injection system are improved.

The foregoing description of the preferred embodiments of the present application is not intended to limit the application, but rather, the application is to be construed as limited to the appended claims.

Claims

1. A method of optimizing energy consumption of an oilfield water injection system, the method comprising:

constructing an energy balance model of the second oilfield water injection system according to the flow in the water injection pipeline, performing simulation on the second oilfield water injection system through the energy balance model, and determining the operation parameters of each water injection pump meeting the energy consumption optimization model;

The first water injection node comprises a first water injection well, a first water distribution room and a first water injection station; the simplifying treatment is performed on a plurality of first water injection nodes included in the first oilfield water injection system to be optimized to obtain a plurality of second water injection nodes, including:

determining the connection relation between each first water injection well and the first water distribution room, wherein the connection relation is included in the first oilfield water injection system, and responding to the fact that the first water injection well is connected with only one first water distribution room, simplifying the first water injection well and the first water distribution room by using an equivalent recurrence method to obtain a plurality of simplified second water distribution rooms;

responding to the fact that the second water distribution room is connected with only one first water injection station, simplifying the second water distribution room and the first water injection station by using the equivalent recurrence method to obtain a plurality of simplified second water injection stations; determining a plurality of the second water injection stations as a plurality of the second water injection nodes;

2. The method of claim 1, wherein said determining a plurality of water injection rings of a plurality of water injection pipes from a plurality of water injection pipes connected to a plurality of said second water injection nodes comprises:

marking each water injection pipe in the first water injection base ring;

3. The method according to claim 2, wherein the method further comprises:

selecting a fifth water injection pipeline from a plurality of water injection pipelines included in the water injection base ring;

4. The method of claim 1, wherein the establishing an energy consumption optimization model of the second oilfield injection system with respect to a variable of an operational parameter of each injection pump included in the plurality of second injection nodes and with respect to a minimum total energy consumption of the second oilfield injection system comprises:

5. The method of claim 1, wherein constructing an energy balance model of the second oilfield water injection system based on the flow in the water injection line comprises:

6. The method of claim 5, wherein determining the flow rates of the plurality of water injection pipes included in the plurality of water injection base rings by the flow distribution model of water injection pipes comprises:

7. The method of claim 1, wherein said simulating the second oilfield water injection system via the energy balance model to determine operational parameters of each of the water injection pumps that satisfy the energy consumption optimization model comprises:

For each water injection pump, determining a first operation parameter of each water injection pump through the energy balance model, and determining a first total energy consumption of the second oilfield water injection system according to the first operation parameter;

8. The method of claim 7, wherein determining the first operating parameter of the water injection pump by the energy balance model comprises:

and determining a plurality of operation parameters of each water injection pump through a particle swarm algorithm, and selecting a first operation parameter of the water injection pump meeting the energy balance model from the plurality of operation parameters.

9. An energy consumption optimizing apparatus for an oilfield water injection system, the apparatus comprising:

the third determining module is used for constructing an energy balance model of the second oilfield water injection system according to the flow in the water injection pipeline, and performing simulation on the second oilfield water injection system through the energy balance model to determine the operation parameters of each water injection pump meeting the energy consumption optimizing model;

the first water injection node comprises a first water injection well, a first water distribution room and a first water injection station; the simplification module is used for: determining the connection relation between each first water injection well and the first water distribution room, wherein the connection relation is included in the first oilfield water injection system, and responding to the fact that the first water injection well is connected with only one first water distribution room, simplifying the first water injection well and the first water distribution room by using an equivalent recurrence method to obtain a plurality of simplified second water distribution rooms; determining the connection relation between each second water distribution room and the first water injection station; responding to the fact that the second water distribution room is connected with only one first water injection station, simplifying the second water distribution room and the first water injection station by using the equivalent recurrence method to obtain a plurality of simplified second water injection stations; determining a plurality of the second water injection stations as a plurality of the second water injection nodes; and responsive to the second water distribution site being connected to a plurality of the first water injection stations, determining a plurality of the second water distribution sites as a plurality of the second water injection nodes.