CN112819198B - Industrial well drilling optimal configuration method and system based on cost analysis model - Google Patents

Industrial well drilling optimal configuration method and system based on cost analysis model Download PDF

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CN112819198B
CN112819198B CN202011626387.3A CN202011626387A CN112819198B CN 112819198 B CN112819198 B CN 112819198B CN 202011626387 A CN202011626387 A CN 202011626387A CN 112819198 B CN112819198 B CN 112819198B
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drilling
well
cost
platform
industrial
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CN112819198A (en
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闫伟
丁小平
檀朝东
葛洪魁
窦玉玲
李文博
王诗棋
孟祥龙
李昱锋
恽博文
余嵚鑫
马泽林
卢燃
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China University of Petroleum Beijing
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    • GPHYSICS
    • G06COMPUTING; CALCULATING OR COUNTING
    • G06QINFORMATION AND COMMUNICATION TECHNOLOGY [ICT] SPECIALLY ADAPTED FOR ADMINISTRATIVE, COMMERCIAL, FINANCIAL, MANAGERIAL OR SUPERVISORY PURPOSES; SYSTEMS OR METHODS SPECIALLY ADAPTED FOR ADMINISTRATIVE, COMMERCIAL, FINANCIAL, MANAGERIAL OR SUPERVISORY PURPOSES, NOT OTHERWISE PROVIDED FOR
    • G06Q10/00Administration; Management
    • G06Q10/04Forecasting or optimisation specially adapted for administrative or management purposes, e.g. linear programming or "cutting stock problem"
    • GPHYSICS
    • G06COMPUTING; CALCULATING OR COUNTING
    • G06QINFORMATION AND COMMUNICATION TECHNOLOGY [ICT] SPECIALLY ADAPTED FOR ADMINISTRATIVE, COMMERCIAL, FINANCIAL, MANAGERIAL OR SUPERVISORY PURPOSES; SYSTEMS OR METHODS SPECIALLY ADAPTED FOR ADMINISTRATIVE, COMMERCIAL, FINANCIAL, MANAGERIAL OR SUPERVISORY PURPOSES, NOT OTHERWISE PROVIDED FOR
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    • G06Q10/06Resources, workflows, human or project management; Enterprise or organisation planning; Enterprise or organisation modelling
    • G06Q10/063Operations research, analysis or management
    • G06Q10/0637Strategic management or analysis, e.g. setting a goal or target of an organisation; Planning actions based on goals; Analysis or evaluation of effectiveness of goals
    • G06Q10/06375Prediction of business process outcome or impact based on a proposed change
    • GPHYSICS
    • G06COMPUTING; CALCULATING OR COUNTING
    • G06QINFORMATION AND COMMUNICATION TECHNOLOGY [ICT] SPECIALLY ADAPTED FOR ADMINISTRATIVE, COMMERCIAL, FINANCIAL, MANAGERIAL OR SUPERVISORY PURPOSES; SYSTEMS OR METHODS SPECIALLY ADAPTED FOR ADMINISTRATIVE, COMMERCIAL, FINANCIAL, MANAGERIAL OR SUPERVISORY PURPOSES, NOT OTHERWISE PROVIDED FOR
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    • G06Q30/0206Price or cost determination based on market factors
    • GPHYSICS
    • G06COMPUTING; CALCULATING OR COUNTING
    • G06QINFORMATION AND COMMUNICATION TECHNOLOGY [ICT] SPECIALLY ADAPTED FOR ADMINISTRATIVE, COMMERCIAL, FINANCIAL, MANAGERIAL OR SUPERVISORY PURPOSES; SYSTEMS OR METHODS SPECIALLY ADAPTED FOR ADMINISTRATIVE, COMMERCIAL, FINANCIAL, MANAGERIAL OR SUPERVISORY PURPOSES, NOT OTHERWISE PROVIDED FOR
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    • G06Q50/02Agriculture; Fishing; Mining

Abstract

The invention relates to a factory drilling optimization configuration method and a factory drilling optimization configuration system based on a cost analysis model, which are characterized by comprising the following steps: 1) Carrying out industrial drilling theoretical research, industrial drilling cost factor research and industrial drilling cost quantitative research, and determining influencing factors influencing industrial drilling cost; 2) Based on the determined influence factors, a complex multi-factor, multi-platform, multi-link and multi-working-condition industrial drilling cost analysis model is established, and scheme optimization and cost analysis are carried out by inputting known target point information and enumerated initial platform number K, and the industrial drilling platform number and well track parameters under the minimum cost are optimized, so that the optimal configuration of industrial drilling is realized. The invention can be widely applied to the field of unconventional oil and gas exploitation.

Description

Industrial well drilling optimal configuration method and system based on cost analysis model
Technical Field
The invention relates to a factorial well drilling optimization configuration method and system of a multi-factor and multi-procedure unconventional oil gas cost analysis model, and belongs to the field of unconventional oil gas exploitation.
Background
In recent years, with rapid consumption of conventional oil gas resources, the difficulty of exploration and development of new resources is increased, and global oil gas resource exploration and development is being changed from conventional oil gas to conventional and non-conventional oil gas, and non-conventional oil gas exploitation is becoming a global trend.
Since 2007, the well factory operation mode has greatly improved the economics of exploration and development. Firstly, the minimum well site is utilized to maximize the coverage reservoir area of the development well pattern, so that the occupation area of the well site is reduced; secondly, the centralized drilling and production of multiple wells reduces the labor cost, the moving time of drilling and completion construction vehicles and drilling machines, and simultaneously, the ground engineering and production management are simplified, so that the operation cost is greatly reduced; finally, a plurality of wells are sequentially opened and well-fixed, and then well-fixed, well-fixed and well-logging are sequentially completed, and the processes of well drilling, well-fixed and well-logging are kept unchanged, so that the maximization of equipment utilization is realized, the operation efficiency is improved, meanwhile, the same-opening drilling fluid is repeatedly utilized, and the well drilling cost is reduced. In summary, the well factory operation mode is an effective means for reducing the cost of unconventional oil and gas drilling, is an efficient and low-cost operation mode in which a large number of similar wells are arranged in a centralized manner in the same area, and a large number of standardized equipment or services are used for drilling in a pipelining manner.
Although well factory drilling techniques work well in the field, quantitative descriptions of factory drilling costs still lack theoretical support; in addition, well factory drilling cost calculation is a system problem related to the tight connection of multiple kinds of factors and different types of factors, and each link affecting factory drilling cannot be optimized.
Disclosure of Invention
Aiming at the problems, the invention aims to provide a factory drilling optimal configuration method and a factory drilling optimal configuration system based on a cost analysis model, which are used for carrying out optimal configuration on factory drilling by constructing a compact oil reservoir factory drilling cost model considering drilling learning rate, batch drilling mode and repeated utilization of drilling fluid.
In order to achieve the above purpose, the present invention adopts the following technical scheme: a factory well drilling optimizing configuration method based on a cost analysis model comprises the following steps:
1) Carrying out industrial drilling theoretical research, industrial drilling cost factor research and industrial drilling cost quantitative research, and determining influencing factors influencing industrial drilling cost;
2) Based on the determined influence factors, a complex multi-factor, multi-platform, multi-link and multi-working-condition industrial drilling cost analysis model is established, and scheme optimization and cost analysis are carried out by inputting known target point information and enumerated initial platform number K, and the industrial drilling platform number and well track parameters under the minimum cost are optimized, so that the optimal configuration of industrial drilling is realized.
Further, in the step 2), the method for optimizing configuration of the factory drilling includes the following steps:
2.1 Using the minimum sum of horizontal displacement of the control target as an optimization target, and optimizing the platform coordinates of each platform by adopting an improved K-means dynamic clustering algorithm;
2.2 Based on the optimized platform related information, establishing a factory drilling cost analysis model for calculating the total cost of each platform;
2.3 Repeating the steps 2.1) to 2.2), selecting different platform numbers by using an enumeration algorithm, and calculating the corresponding drilling total cost I under all platform numbers of the whole well factory zong
2.4 According to the total cost I of the platform zong And (3) carrying out comprehensive comparison and optimization on the platform number schemes determined in the step (2.3), and selecting the most suitable group of platform numbers and experience track parameters as a final industrialized drilling optimization configuration scheme.
Further, in the step 2.2), the method for calculating the total cost of each platform based on the optimized platform related information includes the following steps:
2.2.1 Calculating engineering charge before drilling and engineering service charge according to the determined positions of the platform and the wellhead;
2.2.2 The well type is optimized according to the platform and the position belonging to the target point of the platform, and the well track is optimized according to the conditions given by the deflecting point, the deflecting rate and the well deflecting angle, and the well depth and each opening length are calculated;
2.2.3 Calculating material costs by lot based on the determined well, wellbore trajectory, well depth information;
2.2.4 Calculating the cost of a drilling machine and labor charge according to the number of wells on the platform, the wellhead layout mode and the drilling period, wherein the drilling period is calculated according to the study of the drilling period of the same type well;
2.2.5 For unquantifiable supervisory fees and unquantifiable fee scaling factors K 1 And K 2 To determine the coefficient K 1 And K 2 Reversely determining according to the drilled block data to finally obtain a factory drilling cost analysis model;
2.2.6 Repeating the steps 2.2.1) to 2.2.5), and establishing a drilling cost estimation model of each platformAnd calculating to obtain the total drilling cost of each platform.
Further, in the step 2.2.1), the engineering cost before drilling includes a floor area cost and an earth and stone side cost, and the calculation formulas are respectively as follows:
wherein: i zq The total floor space cost of the well factory is calculated; k is the number of platforms of a well factory and a port; i zqi The land occupation cost of the platform i in the well factory;
wherein I is P2 The construction cost of the total well site road is calculated; i P2i Is the cost of the earth and stone party of a single platform.
Further, in the step 2.2.3), the calculation formula of the material cost is:
wherein:the well depth is the nth well, m; h nj The drilling length, m, of the jth open hole of the nth well; d, d inj A drill bit is opened for the jth well,casing, drilling fluid, cement unit price per meter charge, yuan/m; i is more than or equal to 1 and less than or equal to 5, j is more than or equal to 1 and less than or equal to m Opening device ;N Number of wells The total well number of the platform; m is m Opening device Is the number of open wells.
Further, in said step 2.2.4), the drilling cycle T n Is obtained according to a well drilling learning curve by the following steps: in the well drilling period measurement and calculation, if the block, the well type, the target layer and the well depth are the same, adopting a common learning curve T n =T×e bH+c Calculating; if the well depths are different, adopting a correction learning curveThe fitting coefficient b, c and the drilling learning rate r are learned through the adjacent well or the block, and then the fitting coefficient is applied to the drilling period T to be drilled by the block n
Further, in the step 2.2.5), the industrial drilling cost analysis model is:
wherein K is 1 And K 2 Proportional coefficients for unquantifiable supervisory and unquantifiable costs, respectively; i zq The total floor space cost of the well factory is calculated; i P2 The construction cost of the total well site road is calculated; i M The total cost for moving and installing the drilling machine in the block; r is R 1 Daily fees for the drilling machine and the movable rers, yuan/day; r is the well drilling learning rate; b, c is the fitting coefficient of the adjacent well or the well drilled of the block;the well depth is the nth well, m; h nj The drilling length, m, of the jth open hole of the nth well; d, d inj Drilling bit, casing, drilling fluid, cement unit price per meter cost, yuan/m for the jth opening of the nth well; i is more than or equal to 1 and less than or equal to 5, j is more than or equal to 1 and less than or equal to m Opening device ;I d_sever The method is directed to the cost of a single well.
In a second aspect of the present invention, there is provided a factory-like well drilling optimizing configuration system based on a cost analysis model, comprising:
the influence factor determining module is used for carrying out industrial drilling theoretical research, industrial drilling cost factor research and industrial drilling cost quantitative research and determining influence factors influencing industrial drilling cost;
the optimal configuration module is used for establishing a complex multi-factor, multi-platform, multi-link and multi-working-condition industrial drilling cost analysis model according to the determined influence factors, and carrying out scheme optimization and cost analysis by inputting known target point information and enumerated initial platform number K, and optimizing the number of industrial drilling platforms and wellbore track parameters under the minimum cost to realize the optimal configuration of industrial drilling.
Further, the optimizing configuration module includes:
the platform number optimizing module is used for optimizing the platform coordinates of each platform by adopting an improved K-means dynamic clustering algorithm by taking the minimum sum of horizontal displacement of control targets as an optimizing target;
the platform cost calculation module is used for establishing a cost analysis model to calculate the total cost of each platform based on the optimized platform related information;
an enumeration module for selecting different platform numbers K by using an enumeration algorithm and calculating the total drilling cost I of the whole well factory under all the platforms zong
Scheme comparing and selecting module for comparing the total cost I of the platform zong And (3) carrying out comprehensive comparison and scheme optimization on each industrial drilling scheme, and selecting the most suitable group of platform numbers and experience track parameters as a final industrial drilling optimal configuration scheme.
Further, the cost analysis model established in the platform cost calculation module is as follows:
wherein K is 1 And K 2 Respectively unquantifiable supervision pipeA scaling factor for the cost of management and unquantifiable costs; i zq The total floor space cost of the well factory is calculated; i P2 The construction cost of the total well site road is calculated; i M The total cost for moving and installing the drilling machine in the block; r is R 1 Daily fees for the drilling machine and the movable rers, yuan/day; r is the well drilling learning rate; b, c is the fitting coefficient of the adjacent well or the well drilled of the block;the well depth is the nth well, m; h nj The drilling length, m, of the jth open hole of the nth well; d, d inj Drilling bit, casing, drilling fluid, cement unit price per meter cost, yuan/m for the jth opening of the nth well; i is more than or equal to 1 and less than or equal to 5, j is more than or equal to 1 and less than or equal to m Opening device ;I d_sever The method is directed cost of a single well; n (N) Number of wells The total well number of the platform; m is m Opening device Is the number of open wells.
Due to the adoption of the technical scheme, the invention has the following advantages: 1. according to the invention, the configuration of the industrial drilling is optimized by constructing the compact oil reservoir industrial drilling cost model considering the drilling learning rate, the batch drilling mode and the repeated utilization of the drilling fluid, so that the production efficiency of the industrial drilling is improved, and the production cost of the industrial drilling is reduced. 2. When the factory drilling cost model is constructed, the shortest footage is realized by considering the optimization of the platform position and the optimization of the number of platforms; through the drilling sequence optimization and the drilling machine translation technology, the equipment utilization optimization is realized; the drilling speed is improved through the matching technologies of inter-well collision prevention, drill bit optimization, borehole track control and the like; the learning curve method of repeated operation of well factory drilling operation is utilized, so that the operation efficiency is improved; the repeated utilization rate of drilling tool combination and drilling fluid is improved through batch drilling; the cross operation and the off-line operation of the well factory drilling operation are performed through scientific production organization management, and the working time efficiency of the drilling machine in the footage is improved. Therefore, the invention can be widely applied to the field of unconventional oil and gas exploitation.
Drawings
FIG. 1 is a diagram of an idea constructed by an industrial well drilling optimization configuration method based on a cost analysis model in an embodiment of the invention;
FIG. 2 is a flow chart of an industrial well drilling optimizing configuration method based on a cost analysis model in an embodiment of the invention;
FIG. 3 is a schematic illustration of a well bore configuration in accordance with an embodiment of the present invention.
Detailed Description
The present invention will be described in detail with reference to the accompanying drawings and examples.
As shown in fig. 1, the invention provides a factory drilling optimization configuration method based on a cost analysis model by carrying out factory drilling theoretical research, factory drilling cost factor research and factory drilling cost quantification research. By considering the optimization of the platform position and the optimization of the number of platforms, the shortest footage is realized; the equipment utilization optimization is realized through the optimization of the drilling sequence and the optimization of the drilling machine translation technology; the drilling speed is improved through the matching technologies of inter-well collision prevention, drill bit optimization, borehole track control and the like; the learning curve method of repeated operation of well factory drilling operation is utilized, so that the operation efficiency is improved; the repeated utilization rate of drilling tool combination and drilling fluid is improved through batch drilling; the cross operation and the off-line operation of the well factory drilling operation are performed through scientific production organization management, and the working time efficiency of the drilling machine in the footage is improved. Through investigation of the drilling of the tight oil reservoir well factory, the drilling technology of the well factory and the production organization management are researched, and a complex multi-factor well factory drilling cost analysis model which is suitable for the speed and efficiency improvement of the drilling of the well factory and reduces the development cost is formed for further improving the operation flow, standardizing the operation procedure and innovating the organization management.
By inputting known target point information and enumerated initial platform number K, by taking the platform optimization and target point classification, well type, well track, drilling sequence, drill bit type, repeated utilization rate of each drilling fluid at each time, casing type and wall thickness, daily cost of a drilling machine, learning rate of a temporary well drilling period and the like into consideration, a complex multi-factor multi-platform multi-link multi-working condition batched drilling cost analysis model is established, scheme optimization and cost analysis are carried out, and the platform number and well track parameter optimization under the minimum cost are optimized. Finally, parameters such as the number of platforms, the well track and the like are optimized according to different factory drilling schemes corresponding to different numbers of platforms and well track parameters and the minimum cost.
Specifically, the method comprises the following steps:
1) And carrying out industrial drilling theoretical research, industrial drilling cost factor research and industrial drilling cost quantitative research, and determining influencing factors influencing industrial drilling cost.
The factors of high industrial drilling cost of the tight oil reservoir are restricted by industrial drilling cost factor research, and the factors influencing the industrial drilling cost are divided into four types of engineering cost before drilling, engineering service cost, material cost and other unquantifiable cost, wherein the engineering cost before drilling comprises land occupation cost and earth and stone cost; engineering service fees include rig fees, directional service fees and rig handling fees; the material cost comprises drill bit cost, drilling fluid cost, casing cost, well cementation cost and mud non-landing cost; other unquantifiable fees include supervision and unpredictable fees. By independently performing quantitative analysis on 10 quantifiable factors, establishing a mathematical model and performing proportional estimation on 2 unquantifiable factors, an analysis model of the drilling cost of the whole well factory can be established.
2) Based on the determined influence factors, a complex multi-factor, multi-platform, multi-link and multi-working-condition industrialized drilling cost analysis model is established, and scheme optimization and cost analysis are carried out by inputting known target point information and enumerated initial platform number K, and parameters such as the platform number and the well track under the minimum cost are optimized, so that the industrialized drilling is optimally configured.
Specifically, the method comprises the following steps:
2.1 And (3) taking the minimum sum of horizontal displacement of the control target as an optimization target, and adopting an improved K-means dynamic clustering algorithm to optimize the platform coordinates of each platform.
Firstly, inputting known block target point information, selecting the number of platforms (meeting the maximum drilling capability of the platforms), adopting a K-means clustering algorithm to preliminarily select the positions of the platforms, and representing the platform P by points i By vector u { P } 1 ,P 2 、、P i 、、P K The whole of the platform is represented by K platforms, and the platform is represented by a set P ij ((1≤i.ltoreq.K, 1.ltoreq.j.ltoreq.N)) represents a plateau P i Target under control. Wherein: n is n 1 +n 2 、、n i +n K =N,n i N is the number of targets and p is the target point belonging to the i platform i (X i ,Y i ) For the platform coordinates, b j (x j ,x j ) Is the target point coordinate.
2.2 Based on the optimized platform related information, calculating the total cost of each platform.
Specifically, the method comprises the following steps:
2.2.1 Calculating engineering cost (occupied area cost and earth and stone cost) before drilling and engineering service cost (drilling machine moving and installing cost) according to the determined positions of the platform and the wellhead.
The pre-drilling engineering mainly comprises the determination of the position of a platform, the determination of a well site road and the determination of the position of a platform wellhead. Accordingly, pre-drilling engineering costs mainly include occupation area costs and earth and stone costs.
(1) Cost of floor space
The calculation of the floor space costs consists of two parts.
In the first part, the 'well factory' platform adopts centralized well arrangement, so that the occupied area of an average single well is greatly reduced, and according to the engineering quota before drilling of Chinese petrochemical industry, each well is added in a well site, and the occupied area cost is calculated according to the increase of 10%. Thus, the floor space expense calculation formula can be expressed as:
in the method, in the process of the invention,the cost of the occupied area of the platform is i; q Rating the fee before drilling The floor space expense of a single well platform is the element; n is n i Is the number of wells belonging to the i-plateau.
The second part, if there are fewer than 5 wells per platform, is calculated using the following formula:
in the method, in the process of the invention,the occupied area cost of a single platform is less than 5 wells, and the cost is more than one; s is S 1 The floor area of the first well is generally 3 mu s 1 The occupied area of each well except the first well is generally 1 mu; q is the occupation cost per mu, and yuan/mu.
If the single platform is greater than or equal to 5 wells, the following formula is used to calculate:
in the method, in the process of the invention,the land occupation cost of a single platform is greater than or equal to 5 wells; s is S 1 The floor area of the first well is generally 3 mu; s is(s) 1 The occupied area of each well is 2,3 and 4 wells, and is generally 1 mu; s is(s) 2 The floor area of each well for the 5 th well and more than 5 wells is generally 0.35 mu; q is the occupation cost of each mu.
Thus, for a single platform floor space fee:
for total floor space cost:
wherein: i zq The total floor space cost of the well factory is calculated; k is the number of "well factory" platforms, ports.
(2) Cost of earth and stone
If the single platform is less than 5 wells, the calculation formula of the earth and stone cost is as follows:
I P2i =(S 1 +s 1 ×(n i -1))×S q (6)
wherein: i P2i The cost of the earth and stone is less than 5 wells for a single platform; s is S 1 The floor area of the first well is generally 3 mu s 1 The occupied area of each well except the first well is generally 1 mu; s is S q The cost of the earth and stone per mu is calculated as Yuan/mu.
If the single platform is more than or equal to 5 wells, the calculation formula of the earth and stone cost is as follows:
I P2i =(S 1 +s 1 ×3+s 2 ×(n i -4))×S q (7)
in the method, in the process of the invention,the cost of the earth and stone for the single platform is greater than or equal to 5 wells; s is S 1 The floor area of the first well is generally 3 mu s 1 The occupied area of each well is 2,3 and 4 wells, and is generally 1 mu; s is(s) 2 The floor area of each well for the 5 th well and more than 5 wells is generally 0.35 mu; s is S q The cost of the earth and stone per mu is calculated as Yuan/mu.
For total earth-rock costs:
wherein I is P2 The construction cost of the total well site road is calculated; i P2i Is the cost of the earth and stone party of a single platform.
2.2.2 The well type is optimized according to the platform and the position belonging to the target point of the platform, meanwhile, the well track is optimized according to given conditions such as the deflecting point, the deflecting rate, the well oblique angle and the like, and the well depth and each open length are calculated.
According to the platform and the position belonging to the target point of the platform, different well types are selected, the straight well section L1, the deflecting section L2, the oblique line section L3 … … and the well depth H are calculated according to given conditions such as deflecting points, deflecting rates and well oblique angles, and the length of each well is determined.
2.2.3 Based on the determined well, wellbore trajectory, well depth information, drilling fluid costs, casing costs, well cementing costs, drill bit costs, and mud non-landing costs are calculated by lot.
As shown in fig. 3, a schematic of the well bore structure is shown. From this figure, the well structure is designed to be three open. The batch single-drilling machine 'well factory' operation mode is adopted, and meanwhile, the repeated utilization rate of each drilling fluid at the beginning is considered, and the calculation formula of well depth cost (including drill bit cost, drilling fluid cost, casing cost, well cementation cost, mud non-landing and other materials and service cost) is as follows:
wherein:the well depth is the nth well, m; h nj The drilling length, m, of the jth open hole of the nth well; d, d inj Drilling bit, casing, drilling fluid, cement unit price per meter cost, yuan/m for the jth opening of the nth well; i is more than or equal to 1 and less than or equal to 5, j is more than or equal to 1 and less than or equal to m Opening device
(1) Cost of drill bit
Considering the type of the drill bit, the calculation formula is as follows:
d 1nj =u bit (10)
wherein u is bit Is the cost of a single meter drill bit, yuan/m.
(2) Cost of drilling fluid
The repeated utilization of the drilling fluid is considered, and the calculation formula is as follows
d 2nj =(H nj )×1.1(excess quantity)-(H n-1j )×1.1×r)×ρ f ×u f /H nj (11)
Wherein: d, d 2nj Drilling fluid cost for the nth well and the jth well; r is the repeated utilization rate of the jth drilling fluid of the n-1 well; ρ f The density of the drilling fluid, g/cm, is the j-th drilling fluid of the nth well 3 ;u f The unit price of the drilling fluid is per ton for the jth drilling fluid of the nth well.
(3) Sleeve cost
Taking the dimensions and the wall thickness of the sleeve into consideration, the calculation formula is as follows:
wherein: d, d 3nj Casing cost for the jth well; d (D) 1j The outer diameter of a j-th casing of the nth well is m; d (D) 2j The inner diameter of a j-th casing pipe of the nth well is m; ρ C The density of the j-th casing for the nth well, g/cm 3 ;u c Represents the unit price of the jth casing of the nth well and yuan/ton.
(4) Well cementation cost
Wherein: d, d 4nj The well cementation cost for the jth opening of the nth well is calculated; d (D) 1j Refers to the outer diameter, m, of a j-th casing of an nth well; d (D) j Represents the diameter, m, of the j-th drill bit of the nth well; d, d 4nj Representing the j-th well cementation cost of the nth well; ρ c1 Represents the j-th well cementation density of the nth well, g/cm 3 ;u c1 Represents the j-th well cementation unit price, yuan/ton; i else And (5) cementing other expenses.
(5) Cost of mud not falling to ground
d 5nj =u n (14)
Wherein: d, d 5nj The mud for the jth well is not subjected to the ground cost; u (u) n The single-meter mud does not fall to the ground at the cost of per meter; a first partTypically 150 yuan/m.
2.2.4 According to the number of wells on the platform, the wellhead layout mode and the drilling period, calculating the cost of the drilling machine and labor service, wherein the drilling period is calculated according to the study of the drilling period of the same type well.
(1) Drilling machine and labor cost
I r =R 1 ×T n (15)
Wherein T is n The drilling period of the nth well is the day; r is R 1 Daily fees for the drilling machine and the movable rers, yuan/day; i r Is a drilling machine and labor cost.
For a drilling period T n The calculation of (2) can be according to the well drilling learning curve, in the well drilling period calculation, under the condition of identical block, well type (vertical well, directional well and horizontal well), destination layer and well depth, the common learning curve T can be used n =T×e bH+c The method comprises the steps of carrying out a first treatment on the surface of the If the well depths are different, correcting the learning curveThe fitting coefficient b, c and the drilling learning rate r are learned through the adjacent well or the block, and then the fitting coefficient is applied to the drilling period T to be drilled by the block n
(2) Directional cost
As the number of "well factory" platform well patterns increases, the lateral offset becomes larger, so too does the length and cost of the directional well sections, and the greater the number of platform well patterns, the greater the length and cost of the directional well sections that the average single well increases. The calculation formula is as follows:
I d_sever =L 2 ×u d2 +......+L i ×u di +.....+L n ×u dn (16)
wherein I is d_sever The method is directed cost of a single well; l (L) i A section (a deflecting section, a horizontal section … …) which is a well track except a straight section, m; u (u) di Is the unit price of the corresponding well section, yuan/m.
(3) Drilling machine transportation and installation cost
"well factory" development can save a lot of rig relocation and installation costs. The fewer the number of platforms in the block, the fewer the number of large movements of the drilling machine. The installation cost of the drilling machine can be determined according to the number of wells on the platform and the wellhead layout mode, the times of large, medium and whole support of the drilling machine are determined, and then the total cost is calculated according to the times and the cost each time.
If a single row of wellheads:
I Mi =I m1 +I m2 (n i -1) (17)
if double row wellhead:
I Mi =I m1 +I m2 (n i -2)+I m3 (18)
the total cost of rig relocation and installation within a block can be expressed as:
wherein: i m1 The cost of carrying the drilling machine once is the primary cost; i m2 The cost of the whole support of the drilling machine is primary; i m3 The drill is moved once in parallel in the platform; n is n i Refers to targets belonging to platform i.
2.2.5 For unquantifiable supervisory fees and unquantifiable fee scaling factors K 1 And K 2 To determine the coefficient K 1 And K 2 And (5) reversely determining according to the drilled block data to finally obtain the industrial drilling cost analysis model.
The invention calculates the supervision charge and the unpredictable charge by adopting a proportion estimation method, in particular, the supervision charge can adopt a proportion K of other drilling cost except the unpredictable charge 1 Calculating; the unpredictable fee may be multiplied by the ratio K according to other drilling investments 2 And (5) performing calculation.
The obtained industrial drilling cost analysis model is as follows:
2.2.6 Repeating the steps 2.2.1) to 2).2.5 Building drilling cost estimation models of all platforms
2.3 Using enumeration algorithm to select different platform numbers, calculating total drilling cost I of the whole 'well factory' under all platform numbers zong
For the platform setting planning which is used for obtaining the minimum total cost of the whole 'well factory' drilling, a method for enumerating the number of platforms is adopted. The method comprises the steps of firstly determining possible intervals of the number of the platforms according to the number of underground well positions and the maximum drilling capacity of each platform, and then enumerating one by one in the intervals to obtain a group of total drilling cost under different numbers of the platforms.
2.4 According to the total cost I of the platform zong And (3) at minimum, comprehensively comparing all schemes and optimizing the schemes, and selecting the most suitable parameters such as a group of platform numbers, experience tracks and the like as an optimal configuration scheme for industrial drilling.
The invention also provides a factory drilling optimization configuration system based on the cost analysis model, which comprises the following steps: the influence factor determining module is used for carrying out industrial drilling theoretical research, industrial drilling cost factor research and industrial drilling cost quantitative research and determining influence factors influencing industrial drilling cost; the optimal configuration module is used for establishing a complex multi-factor, multi-platform, multi-link and multi-working-condition industrial drilling cost analysis model according to the determined influence factors, and carrying out scheme optimization and cost analysis by inputting known target point information and enumerated initial platform number K, and optimizing the number of industrial drilling platforms and wellbore track parameters under the minimum cost to realize the optimal configuration of industrial drilling.
Further, the optimal configuration module includes: the platform number optimizing module is used for optimizing the platform coordinates of each platform by adopting an improved K-means dynamic clustering algorithm by taking the minimum sum of horizontal displacement of control targets as an optimizing target; the platform cost calculation module is used for establishing a cost analysis model to calculate the total cost of each platform based on the optimized platform related information; an enumeration module forSelecting different platform numbers to optimize the platform coordinates by using an enumeration algorithm, and calculating the total drilling cost I of the whole well factory under all the platform numbers according to the optimization result zong The method comprises the steps of carrying out a first treatment on the surface of the Scheme comparing and selecting module for comparing the total cost I of the platform zong And (3) carrying out comprehensive comparison and scheme optimization on each industrial drilling scheme, and selecting the most suitable group of platform numbers and experience track parameters as a final industrial drilling optimal configuration scheme.
Further, the cost analysis model established in the platform cost calculation module is:
wherein K is 1 And K 2 Proportional coefficients for unquantifiable supervisory and unquantifiable costs, respectively; i zq The total floor space cost of the well factory is calculated; i P2 The construction cost of the total well site road is calculated; i M The total cost for moving and installing the drilling machine in the block; r is R 1 Daily fees for the drilling machine and the movable rers, yuan/day; r is the well drilling learning rate; b, c is the fitting coefficient of the adjacent well or the well drilled of the block;the well depth is the nth well, m; h nj The drilling length, m, of the jth open hole of the nth well; d, d inj Drilling bit, casing, drilling fluid, cement unit price per meter cost, yuan/m for the jth opening of the nth well; i is more than or equal to 1 and less than or equal to 5, j is more than or equal to 1 and less than or equal to m Opening device ;I d_sever The method is directed cost of a single well; n (N) Number of wells The total well number of the platform; m is m Opening device Is the number of open wells.
The present invention is illustrated with the above embodiments only, and the mathematical models in the well factory drilling cost analysis model and the frameworks in the well factory drilling cost optimization algorithm may all be varied. On the basis of the technical scheme, the improvement or equivalent transformation of the individual components according to the principles of the invention should not be excluded from the protection scope of the invention.

Claims (6)

1. The industrial drilling optimization configuration method based on the cost analysis model is characterized by comprising the following steps of:
1) Carrying out industrial drilling theoretical research, industrial drilling cost factor research and industrial drilling cost quantitative research, and determining influencing factors influencing industrial drilling cost;
2) Based on the determined influence factors, a complex multi-factor, multi-platform, multi-link and multi-working-condition industrial drilling cost analysis model is established, and scheme optimization and cost analysis are carried out by inputting known target point information and enumerated initial platform number K, and the industrial drilling platform number and well track parameters under the minimum cost are optimized, so that the optimal configuration of industrial drilling is realized;
in the step 2), the method for optimizing configuration of the industrial drilling comprises the following steps:
2.1 Using the minimum sum of horizontal displacement of the control target as an optimization target, and optimizing the platform coordinates of each platform by adopting an improved K-means dynamic clustering algorithm;
2.2 Based on the optimized platform related information, establishing a factory drilling cost analysis model for calculating the total cost of each platform;
2.3 Repeating the steps 2.1) to 2.2), selecting different platform numbers by using an enumeration algorithm, and calculating the corresponding drilling total cost I under all platform numbers of the whole well factory zong
2.4 According to the total cost I of the platform zong And (3) carrying out comprehensive comparison and optimization on the platform number schemes determined in the step (2.3), and selecting a group of most suitable platform numbers and experience track parameters as a final industrialized drilling optimization configuration scheme;
in the step 2.2), the method for calculating the total cost of each platform based on the optimized platform related information comprises the following steps:
2.2.1 Calculating engineering charge before drilling and engineering service charge according to the determined positions of the platform and the wellhead;
2.2.2 The well type is optimized according to the platform and the position belonging to the target point of the platform, and the well track is optimized according to the conditions given by the deflecting point, the deflecting rate and the well deflecting angle, and the well depth and each opening length are calculated;
2.2.3 Calculating material costs by lot based on the determined well, wellbore trajectory, well depth information;
2.2.4 Calculating the cost of a drilling machine and labor charge according to the number of wells on the platform, the wellhead layout mode and the drilling period, wherein the drilling period is calculated according to the study of the drilling period of the same type well;
2.2.5 For unquantifiable supervisory fees and unquantifiable fee scaling factors K 1 And K 2 To determine the coefficient K 1 And K 2 Reversely determining according to the drilled block data to finally obtain a factory drilling cost analysis model;
2.2.6 Repeating the steps 2.2.1) to 2.2.5), establishing drilling cost estimation models of all platforms, and calculating to obtain the total drilling cost of all platforms;
in said step 2.2.4), the drilling cycle T n Is obtained according to a well drilling learning curve by the following steps: in the well drilling period measurement and calculation, if the block, the well type, the target layer and the well depth are the same, adopting a common learning curve T n =T×e bH+c Calculating, wherein H is well depth; if the well depths are different, a correction learning curve T is adopted n =r logn2 ×e bH+c The fitting coefficient b, c and the well learning rate r are learned through the adjacent well or the block well, and then the well drilling period T to be drilled by the block is applied n
2. The method for optimizing and configuring industrial drilling based on the cost analysis model as claimed in claim 1, wherein the method comprises the following steps: in the step 2.2.1), the engineering cost before drilling comprises the occupied area cost and the earth and stone cost, and the calculation formulas are respectively as follows:
wherein: i zq The total floor space cost of the well factory is calculated; k is the number of platforms of a well factory and a port; i zqi The land occupation cost of the platform i in the well factory;
wherein I is P2 The construction cost of the total well site road is calculated; i P2i Is the cost of the earth and stone party of a single platform.
3. The method for optimizing and configuring industrial drilling based on the cost analysis model as claimed in claim 1, wherein the method comprises the following steps: in the step 2.2.3), the calculation formula of the material cost is as follows:
wherein:the well depth is the nth well, m; h nj The drilling length, m, of the jth open hole of the nth well; d, d inj Drilling bit, casing, drilling fluid, cement unit price per meter cost, yuan/m for the jth opening of the nth well; i is more than or equal to 1 and less than or equal to 5, j is more than or equal to 1 and less than or equal to m Opening device ;N Number of wells The total well number of the platform; m is m Opening device Is the number of open wells.
4. The method for optimizing and configuring industrial drilling based on the cost analysis model as claimed in claim 1, wherein the method comprises the following steps: in the step 2.2.5), the industrial drilling cost analysis model is as follows:
wherein K is 1 And K 2 Respectively unquantifiable monitorA scaling factor governing the management fee and unquantifiable fee; i zq The total floor space cost of the well factory is calculated; i P2 The construction cost of the total well site road is calculated; i M The total cost for moving and installing the drilling machine in the block; r is R 1 Daily fees for the drilling machine and the movable rers, yuan/day; r is the well drilling learning rate; b, c is the fitting coefficient of the adjacent well or the well drilled of the block;the well depth is the nth well, m; h nj The drilling length, m, of the jth open hole of the nth well; d, d inj Drilling bit, casing, drilling fluid, cement unit price per meter cost, yuan/m for the jth opening of the nth well; i is more than or equal to 1 and less than or equal to 5, j is more than or equal to 1 and less than or equal to m Opening device ;I d_sever The method is directed to the cost of a single well.
5. An industrial drilling optimization configuration system based on a cost analysis model is characterized by comprising:
the influence factor determining module is used for carrying out industrial drilling theoretical research, industrial drilling cost factor research and industrial drilling cost quantitative research and determining influence factors influencing industrial drilling cost;
the optimal configuration module is used for establishing a complex multi-factor, multi-platform, multi-link and multi-working-condition industrial drilling cost analysis model according to the determined influence factors, and carrying out scheme optimization and cost analysis by inputting known target point information and enumerated initial platform number K, and optimizing the number of industrial drilling platforms and wellbore track parameters under the minimum cost to realize the optimal configuration of industrial drilling;
the optimal configuration module comprises:
the first platform number optimizing module is used for optimizing the platform coordinates of each platform by adopting an improved K-means dynamic clustering algorithm by taking the minimum sum of horizontal displacement of control targets as an optimizing target;
the platform cost calculation module is used for establishing a cost analysis model to calculate the total cost of each platform based on the optimized platform related information;
the second platform number optimizing module is used for selecting different platform numbers K by using an enumeration algorithm and calculating the total drilling cost I of all platforms of the whole well factory zong
Scheme comparing and selecting module for comparing the total cost I of the platform zong Minimum, carrying out comprehensive comparison and scheme optimization on each industrial drilling scheme, and selecting a group of most suitable platform numbers and experience track parameters as a final industrial drilling optimal configuration scheme;
based on the optimized platform related information, a cost analysis model is established to calculate the total cost of each platform, and the method comprises the following steps:
calculating engineering charge before drilling and engineering service charge according to the determined positions of the platform and the wellhead;
optimizing the well type according to the platform and the position belonging to the target point of the platform, optimizing the well track according to the conditions given by the deflecting point, the deflecting rate and the well deflecting angle, and calculating the well depth and each opening length;
calculating material cost according to batches based on the determined well type, well track and well depth information;
calculating the cost of a drilling machine and labor charge according to the number of wells on the platform, the wellhead layout mode and the drilling period, wherein the drilling period is calculated according to the study of the drilling period of the same type well;
for unquantifiable supervisory fees and unquantifiable fee scaling factors K 1 And K 2 To determine the coefficient K 1 And K 2 Reversely determining according to the drilled block data to finally obtain a factory drilling cost analysis model;
repeating all the steps, establishing a drilling cost estimation model of each platform, and calculating to obtain the total drilling cost of each platform;
the drilling period T n Is obtained according to a well drilling learning curve by the following steps: in the well drilling period measurement and calculation, if the block, the well type, the target layer and the well depth are the same, adopting a common learning curve T n =T×e bH+c Calculating, wherein H is well depth; if the well depths are different, adopting correction learning curveLine T n =r logn2 ×e bH+c The fitting coefficient b, c and the well learning rate r are learned through the adjacent well or the block well, and then the well drilling period T to be drilled by the block is applied n
6. The industrial drilling optimization configuration system based on the cost analysis model as set forth in claim 5, wherein the cost analysis model established in the platform cost calculation module is:
wherein K is 1 And K 2 Proportional coefficients for unquantifiable supervisory and unquantifiable costs, respectively; i zq The total floor space cost of the well factory is calculated; i P2 The construction cost of the total well site road is calculated; i M The total cost for moving and installing the drilling machine in the block; r is R 1 Daily fees for the drilling machine and the movable rers, yuan/day; r is the well drilling learning rate; b, c is the fitting coefficient of the adjacent well or the well drilled of the block;the well depth is the nth well, m; h nj The drilling length, m, of the jth open hole of the nth well; d, d inj Drilling bit, casing, drilling fluid, cement unit price per meter cost, yuan/m for the jth opening of the nth well; i is more than or equal to 1 and less than or equal to 5, j is more than or equal to 1 and less than or equal to m Opening device ;I d_sever The method is directed cost of a single well; n (N) Number of wells The total well number of the platform; m is m Opening device Is the number of open wells.
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Citations (11)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
US5147148A (en) * 1991-05-02 1992-09-15 Conoco Inc. Heave-restrained platform and drilling system
CA2728970A1 (en) * 2004-12-14 2006-06-22 Schlumberger Canada Limited Geometrical optimization of multi-well trajectories
WO2011135541A2 (en) * 2010-04-28 2011-11-03 Rolls-Royce Marine As Modular multi-workstring system for subsea intervention and abandonment operations
CN107025608A (en) * 2017-04-27 2017-08-08 成都全富科技有限公司 A kind of Sichuan-chongqing Region shale gas batch production platform construction method
CN107558984A (en) * 2017-07-27 2018-01-09 山西晋城无烟煤矿业集团有限责任公司 A kind of Mining Area Coal Seam gas well batch production development approach
CN108343420A (en) * 2017-12-20 2018-07-31 中国石油天然气股份有限公司 A kind of big well group well-arranging procedure of the factory operation of multifactor Cooperative Analysis
CN108756848A (en) * 2018-05-21 2018-11-06 北京四利通控制技术股份有限公司 A kind of intelligent drilling control cloud platform and intelligent drilling control system
WO2019132733A1 (en) * 2017-12-29 2019-07-04 Публичное акционерное общество "Газпром нефть" System for integrated conceptual reservoir planning
CN110566177A (en) * 2019-08-22 2019-12-13 中国石油大学(华东) Well spacing method for industrial drilling
CN111021957A (en) * 2019-12-19 2020-04-17 中国石油天然气股份有限公司 Cluster platform well borehole orbit design method and device
CN111178717A (en) * 2019-12-19 2020-05-19 中国石油天然气股份有限公司 Linear cluster platform well deployment method and device

Family Cites Families (5)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
US8812334B2 (en) * 2006-02-27 2014-08-19 Schlumberger Technology Corporation Well planning system and method
CN102282562B (en) * 2009-01-13 2015-09-23 埃克森美孚上游研究公司 Optimizing well operating plans
US9864098B2 (en) * 2013-09-30 2018-01-09 Exxonmobil Upstream Research Company Method and system of interactive drill center and well planning evaluation and optimization
WO2016168957A1 (en) * 2015-04-19 2016-10-27 Prad Research And Development Limited Automated trajectory and anti-collision for well planning
US10648269B2 (en) * 2017-09-07 2020-05-12 Chevron U.S.A. Inc. Single line apparatus, system, and method for fracturing a multiwell pad

Patent Citations (11)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
US5147148A (en) * 1991-05-02 1992-09-15 Conoco Inc. Heave-restrained platform and drilling system
CA2728970A1 (en) * 2004-12-14 2006-06-22 Schlumberger Canada Limited Geometrical optimization of multi-well trajectories
WO2011135541A2 (en) * 2010-04-28 2011-11-03 Rolls-Royce Marine As Modular multi-workstring system for subsea intervention and abandonment operations
CN107025608A (en) * 2017-04-27 2017-08-08 成都全富科技有限公司 A kind of Sichuan-chongqing Region shale gas batch production platform construction method
CN107558984A (en) * 2017-07-27 2018-01-09 山西晋城无烟煤矿业集团有限责任公司 A kind of Mining Area Coal Seam gas well batch production development approach
CN108343420A (en) * 2017-12-20 2018-07-31 中国石油天然气股份有限公司 A kind of big well group well-arranging procedure of the factory operation of multifactor Cooperative Analysis
WO2019132733A1 (en) * 2017-12-29 2019-07-04 Публичное акционерное общество "Газпром нефть" System for integrated conceptual reservoir planning
CN108756848A (en) * 2018-05-21 2018-11-06 北京四利通控制技术股份有限公司 A kind of intelligent drilling control cloud platform and intelligent drilling control system
CN110566177A (en) * 2019-08-22 2019-12-13 中国石油大学(华东) Well spacing method for industrial drilling
CN111021957A (en) * 2019-12-19 2020-04-17 中国石油天然气股份有限公司 Cluster platform well borehole orbit design method and device
CN111178717A (en) * 2019-12-19 2020-05-19 中国石油天然气股份有限公司 Linear cluster platform well deployment method and device

Non-Patent Citations (5)

* Cited by examiner, † Cited by third party
Title
"井工厂"钻井成本模型构建与平台部署方案优化——以渤海湾盆地济阳坳陷致密油开发为例;闫伟等;《石油钻采工艺》;第43卷(第03期);第265-271页 *
Simultaneous Operations in Multi-Well Pad: a Cost Effective way of Drilling Multi Wells Pad and Deliver 8 Fracs a Day;V. C. Ogoke等;《SPE Annual Technical Conference and Exhibition》;第1-11页 *
涪陵页岩气田"井工厂"技术经济性评价;臧艳彬等;《石油钻探技术》;第44卷(第06期);第30-35页 *
考虑"井工厂"学***台位置优化方法;王志月等;《天然气工业》;第38卷(第01期);第102-108页 *
致密油水平井"工厂化"钻井技术;徐智聃等;《中国石油和化工标准与质量》;第38卷(第21期);第165-167页 *

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