CN117930327A - Excitation well depth extraction method and device and electronic equipment - Google Patents
Excitation well depth extraction method and device and electronic equipment Download PDFInfo
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Abstract
The application provides a method and a device for extracting excitation well depths and electronic equipment, and belongs to the field of petroleum seismic exploration. According to the embodiment of the application, the near-surface lithology model capable of reflecting a plurality of lithology layers is constructed by utilizing the core data of a plurality of lithology coring wells in a work area, the best excitation well depth plane data of the work area is obtained by acquiring the radar point cloud data corresponding to each target lithology layer in the near-surface lithology model, and the best excitation well depth corresponding to the preset shot point in the work area is determined based on the best excitation well depth plane data. According to the embodiment of the application, by constructing the high-simulation near-surface lithology model, the explosive can be excited in the target lithology layer at the preset shot point according to the optimal excitation well depth, the design precision of the excitation well depth and the deployment accuracy of the drilling task are improved, the drilling cost is reduced while the construction efficiency is improved, the quality of acquired data of the complex surface is effectively improved, and the discovery of oil gas is promoted.
Description
Technical Field
The application relates to the field of petroleum seismic exploration, in particular to a method and a device for extracting an excitation well depth and electronic equipment.
Background
The excitation source for land seismic acquisition has two modes of explosive excitation and controllable source excitation. With the development of high-density and wide-azimuth acquisition technology, the controllable seismic source is an economically integrated main excitation mode due to the characteristics of greenness, safety, adjustable frequency and the like, but in complex surface areas such as mountains, hills, water areas and the like, the controllable seismic source cannot be used due to the blocking of the self passage, so that the explosive excitation mode is an irreplaceable exploration method at present.
The depth and lithology of the explosive are main factors influencing the excitation signal, and reasonable design of the excitation depth is very important, so that the quality of acquired data is influenced, and the construction efficiency is also influenced. In areas with complex earth surface conditions, such as Sichuan basin, the main excitation mode of seismic acquisition is well cannon construction.
At present, a floating well depth design is adopted according to a geological map aiming at the design of the excitation well depth, lithology is tracked on site, and the well depth is controlled by drilling personnel to identify the lithology of the well bottom on site in the construction process and stop drilling when meeting mudstone. The design and the construction mode are limited by factors such as uneven thickness of underground sand shale, inaccurate lithology tracking of field drilling personnel and the like, and the conditions of unreasonable well depth design and low precision are easily caused.
Disclosure of Invention
The application provides an excitation well depth extraction method, an excitation well depth extraction device and electronic equipment, which are used for solving the problems of unreasonable design and low precision of the excitation well depth under the complex surface condition in the prior art.
In order to solve the problems, the application adopts the following technical scheme:
in a first aspect, an embodiment of the present application provides a method for extracting an excitation well depth, where the method includes:
acquiring core data of a plurality of lithology coring wells in a work area;
Based on the core data, constructing a near-surface lithology model corresponding to the work area; the near-surface lithology model comprises a plurality of lithology layers, and different lithology layers correspond to different lithology;
taking each lithology layer with target lithology as a target lithology layer, and determining radar point cloud data of each target lithology layer; the radar point cloud data are used for representing the optimal burial depth of a shot point in the target lithology layer;
obtaining optimal excitation well depth plane data of the work area based on the radar point cloud data corresponding to each target lithology layer; the optimal excitation well depth plane data is used for representing the optimal excitation well depth corresponding to any position in the work area;
and determining the optimal excitation well depth corresponding to the preset shot point in the work area based on the optimal excitation well depth plane data.
In an embodiment of the present application, constructing a near-surface lithology model corresponding to the work area based on the core data includes:
Based on the core data, creating a core well simulation model corresponding to each lithology core well; each coring well simulation model includes a respective plurality of lithology layers;
Connecting lithologic layers with the same lithologic characteristics in each two adjacent coring well simulation models to obtain lithologic section models corresponding to the two adjacent coring well simulation models;
And obtaining a near-surface lithology model corresponding to the work area by carrying out interpolation processing on the lithology section model.
In an embodiment of the present application, the obtaining the near-surface lithology model corresponding to the work area by interpolating the lithology section model includes:
acquiring boundary information of the work area, and obtaining a modeling area corresponding to the work area based on the boundary information;
superimposing the modeled region onto the lithology section model such that the modeled region covers the lithology section model;
and in the modeling area, carrying out interpolation processing on the lithology section model to obtain a near-surface lithology model corresponding to the work area.
In an embodiment of the present application, in the modeling area, performing interpolation processing on the lithology section model to obtain a near-surface lithology model corresponding to the work area, where the method includes:
in the modeling area, carrying out interpolation processing on the lithology section model to obtain an initial near-surface lithology model;
and adding ground elevation data of the work area into the initial near-surface lithology model to obtain the near-surface lithology model.
In an embodiment of the present application, obtaining optimal excitation well depth plane data of the work area based on the radar point cloud data corresponding to each target lithology layer includes:
combining the radar point cloud data corresponding to each target lithology layer to obtain target radar point cloud data;
and obtaining optimal excitation well depth plane data of the work area based on the target radar point cloud data.
In an embodiment of the present application, merging the radar point cloud data corresponding to each of the target lithology layers to obtain target radar point cloud data includes:
For any point on the near-surface lithology model, performing the following operations: when only the radar point cloud data of one target lithology layer exists in the vertical direction of the point location, determining the radar point cloud data of the target lithology layer as first preferable radar point cloud data; or when radar point cloud data of a plurality of target lithology layers exist in the vertical direction of the point location, determining second preferred radar point cloud data in the radar point cloud data of the plurality of target lithology layers according to a preset lithology preferred strategy;
and obtaining the target radar point cloud data based on the first preferred radar point cloud data and/or the second preferred radar point cloud data.
In an embodiment of the present application, when there are radar point cloud data of a plurality of target lithology layers in a vertical direction of the point location, determining second preferred radar point cloud data in the radar point cloud data of the plurality of target lithology layers according to a preset lithology preferred policy includes:
Determining radar point cloud data of the middle part of the thickest lithology layer in the plurality of target lithology layers as the second preferred radar point cloud data, or determining radar point cloud data of the middle part of the deepest lithology layer in the plurality of target lithology layers as the second preferred radar point cloud data; the radar point cloud data in the middle of the thickest lithology layer in the plurality of target lithology layers has a higher priority than the radar point cloud data in the middle of the deepest lithology layer in the plurality of target lithology layers.
In an embodiment of the present application, determining an optimal excitation well depth corresponding to a preset shot point in the work area based on the optimal excitation well depth plane data includes:
when corresponding optimal excitation well depth plane data exists in the vertical direction of the preset shot point, determining the optimal excitation well depth of the preset shot point based on the optimal excitation well depth plane data;
and when the corresponding optimal excitation well depth plane data does not exist in the vertical direction of the preset shot point, determining that the optimal excitation well depth of the preset shot point is a preset value.
In a second aspect, based on the same inventive concept, an embodiment of the present application provides an excitation well depth extraction device, the device comprising:
The rock core data acquisition module is used for acquiring rock core data of a plurality of lithology coring wells in a work area;
The model construction module is used for constructing a near-surface lithology model corresponding to the work area based on the core data; the near-surface lithology model comprises a plurality of lithology layers, and different lithology layers correspond to different lithology;
the point cloud data determining module is used for determining radar point cloud data of each target lithology layer by taking each lithology layer with target lithology as the target lithology layer; the radar point cloud data are used for representing the optimal burial depth of a shot point in the target lithology layer;
The plane data acquisition module is used for acquiring the optimal excitation well depth plane data of the work area based on the radar point cloud data corresponding to each target lithology layer; the optimal excitation well depth plane data is used for representing the optimal excitation well depth corresponding to any position in the work area;
And the excitation well depth determining module is used for determining the optimal excitation well depth corresponding to the preset shot point in the work area based on the optimal excitation well depth plane data.
In one embodiment of the present application, the model building module includes:
The coring well simulation model creation submodule is used for creating a coring well simulation model corresponding to each lithology coring well based on the core data; each coring well simulation model includes a respective plurality of lithology layers;
the lithology section model creation submodule is used for connecting lithology layers with the same lithology in each two adjacent coring well simulation models to obtain lithology section models corresponding to the two adjacent coring well simulation models;
And the interpolation processing sub-module is used for obtaining the near-surface lithology model corresponding to the work area by carrying out interpolation processing on the lithology section model.
In an embodiment of the present application, the interpolation processing sub-module includes:
the boundary information acquisition unit is used for acquiring boundary information of the work area and obtaining a modeling area corresponding to the work area based on the boundary information;
a modeling region superimposing unit configured to superimpose the modeling region on the lithology section model so that the modeling region covers the lithology section model;
And the interpolation processing unit is used for carrying out interpolation processing on the lithology section model in the modeling area to obtain a near-surface lithology model corresponding to the work area.
In an embodiment of the present application, the interpolation processing unit includes:
an initial near-surface lithology model construction subunit, configured to perform interpolation processing on the lithology section model in the modeling area, so as to obtain an initial near-surface lithology model;
And the ground elevation data adding subunit is used for adding the ground elevation data of the work area into the initial near-surface lithology model to obtain the near-surface lithology model.
In an embodiment of the present application, the plane data acquisition module includes:
the point cloud data merging sub-module is used for merging the radar point cloud data corresponding to each target lithology layer to obtain target radar point cloud data;
And the plane data acquisition sub-module is used for acquiring the optimal excitation well depth plane data of the work area based on the target radar point cloud data.
In an embodiment of the present application, the point cloud data merging sub-module includes:
The preferred radar point cloud data determining unit is configured to perform the following operations, for any point location on the near-surface lithology model: when only the radar point cloud data of one target lithology layer exists in the vertical direction of the point location, determining the radar point cloud data of the target lithology layer as first preferable radar point cloud data; or when radar point cloud data of a plurality of target lithology layers exist in the vertical direction of the point location, determining second preferred radar point cloud data in the radar point cloud data of the plurality of target lithology layers according to a preset lithology preferred strategy;
the target radar point cloud data determining unit is used for obtaining the target radar point cloud data based on the first preferred radar point cloud data and/or the second preferred radar point cloud data.
In an embodiment of the present application, a preferred Lei Dadian cloud data determining unit is specifically configured to determine radar point cloud data of a middle part of a thickest lithology layer in the plurality of target lithology layers as the second preferred radar point cloud data, or determine radar point cloud data of a middle part of a deepest lithology layer in the plurality of target lithology layers as the second preferred radar point cloud data; the radar point cloud data in the middle of the thickest lithology layer in the plurality of target lithology layers has a higher priority than the radar point cloud data in the middle of the deepest lithology layer in the plurality of target lithology layers.
In an embodiment of the present application, the excitation well depth determining module includes:
The first determining submodule is used for determining the optimal excitation well depth of the preset shot point based on the optimal excitation well depth plane data when the corresponding optimal excitation well depth plane data exists in the vertical direction of the preset shot point;
and the second determining submodule is used for determining that the optimal excitation well depth of the preset shot point is a preset value when the corresponding optimal excitation well depth plane data does not exist in the vertical direction of the preset shot point.
In a third aspect, based on the same inventive concept, an embodiment of the present application provides an electronic device, including: a processor and a memory, wherein the memory has executable code stored thereon, which when executed by the processor, causes the processor to perform the method of stimulated well depth extraction as set forth in the first aspect of the present application.
Compared with the prior art, the application has the following advantages:
According to the excitation well depth extraction method provided by the embodiment of the application, the near-surface lithology model capable of reflecting a plurality of lithology layers is constructed by using the core data of a plurality of lithology coring wells in a work area, the best excitation well depth plane data of the work area is obtained by acquiring the radar point cloud data corresponding to each target lithology layer in the near-surface lithology model, and the best excitation well depth corresponding to the preset shot point in the work area is determined based on the obtained best excitation well depth plane data. According to the embodiment of the application, the high-simulation near-surface lithology model is constructed, so that the optimal excitation well depth in the full-work area can be effectively obtained, the explosive can be excited in the target lithology layer according to the optimal excitation well depth at the preset shot point, the design precision of the excitation well depth and the deployment precision of a drilling task are improved, the drilling cost is reduced while the construction efficiency is improved, the quality of acquired data of the complex surface is effectively improved, and the discovery of oil gas is promoted.
Drawings
In order to more clearly illustrate the embodiments of the invention or the technical solutions in the prior art, the drawings that are required in the embodiments or the description of the prior art will be briefly described, it being obvious that the drawings in the following description are only some embodiments of the invention, and that other drawings may be obtained according to these drawings without inventive effort for a person skilled in the art.
FIG. 1 is a flow chart of the steps of a method for extracting an excitation well depth according to an embodiment of the present application.
FIG. 2 is a schematic diagram of a simulated model of a coring well in an embodiment of the present application.
FIG. 3 is a schematic representation of a lithology section model in an embodiment of the present application.
FIG. 4 is a schematic representation of a near-surface lithology model in one embodiment of the application.
Fig. 5 is a schematic diagram of radar point cloud data for different mudstone lithology layers in an embodiment of the present application.
FIG. 6 is a schematic diagram of the acquisition of optimal stimulated well depth plane data in accordance with one embodiment of the present application.
FIG. 7 is a schematic representation of the superposition of modeled regions and lithology section models in an embodiment of the present application.
FIG. 8 is a schematic diagram of constructing a base model based on a triangular mesh in an embodiment of the application.
FIG. 9 is a schematic representation of the surface of a near-surface lithology model with ground elevation data added thereto in accordance with one embodiment of the present application.
FIG. 10 is a schematic diagram of functional modules of an activated well depth extraction device according to an embodiment of the application.
Reference numerals: 201-coring a surface soil layer of the well; 202-coring a shale lithology layer of the well; 203-coring a sandstone lithology layer of the well; 204-coring the well gravel lithology layer; 301-surface soil profile model; 302-a mudstone lithology section model; 303-sandstone lithology section model; 304-a gravel lithology profile model; 401-surface soil layer; 402-mudstone lithology layer; 403-sandstone lithology layer; 404-gravel lithology layer; 1000-exciting a well depth extraction device; 1001-a core data acquisition module; 1002-a model building module; 1003-a point cloud data determination module; 1004-a plane data acquisition module; 1005-excitation well depth determination module.
Detailed Description
The following description of the embodiments of the present invention will be made clearly and completely with reference to the accompanying drawings, in which it is apparent that the embodiments described are only some embodiments of the present invention, but not all embodiments. All other embodiments, which can be made by those skilled in the art based on the embodiments of the invention without making any inventive effort, are intended to be within the scope of the invention.
Referring to fig. 1, there is shown a flow chart of steps of a method of the present application for stimulating well depth extraction, which may include the steps of:
S101: core data of a plurality of lithologic coring wells in a work area is acquired.
The lithology coring well is a well drilled by a special drilling machine, and is used for directly obtaining lithology data of a related stratum. The core is a cylindrical rock sample taken from the hole using a core ring bit and other coring tools.
In this embodiment, by uniformly disposing the lithology coring wells in the work area, a cylindrical rock sample can be collected on site and analyzed, core data reflecting the underground lithology distribution can be obtained, and lithology longitudinal and transverse data of the work area can be obtained based on the core data corresponding to each lithology coring well, and the lithology longitudinal and transverse data can effectively reflect the distribution of lithology layers with different lithology underground in the work area.
S102: based on the rock core data, constructing a near-surface lithology model corresponding to the work area; the near-surface lithology model includes a plurality of lithology layers, with different lithology layers corresponding to different lithology.
In this embodiment, the core data in all the lithology coring wells in the work area are integrated and analyzed, each lithology coring well is used as a lithology control point in modeling, lithology layers with the same lithology among each lithology control point are connected, and a three-dimensional model is constructed, so that a near-surface lithology model corresponding to the whole work area can be obtained.
Specifically, S102 may specifically include the following substeps:
S102-1: based on the rock core data, creating a core-taking well simulation model corresponding to each lithology core-taking well; each coring well simulation model includes a respective plurality of lithology layers.
Referring to FIG. 2, a schematic structural diagram of a simulated model of a coring well is shown. Each simulation model of the coring well generally comprises four lithology layers of surface soil, mudstone, sandstone and gravel, which are respectively corresponding to the surface soil layer 201 of the coring well, the mudstone lithology layer 202 of the coring well, the sandstone lithology layer 203 of the coring well and the gravel lithology layer 204 of the coring well.
It should be noted that the same lithology layer may also have multiple layers in the lithology coring well, such as multiple coring well mudstone lithology layers 202 in the same lithology coring well.
S102-2: and connecting lithologic layers with the same lithologic character in each two adjacent coring well simulation models to obtain lithologic character section models corresponding to the two adjacent coring well simulation models.
In the present embodiment, referring to fig. 3, a schematic diagram of a lithology section model is shown. By connecting lithologic layers having the same lithologic character in two adjacent coring well simulation models, a corresponding lithologic character profile model may be obtained, which may specifically include a topsoil profile model 301, a mudstone lithologic character profile model 302, a sandstone lithologic character profile model 303, and a gravel lithologic character profile model 304.
S102-3: and obtaining a near-surface lithology model corresponding to the work area by carrying out interpolation processing on the lithology section model.
In this embodiment, after the lithology section model is created, the space between the lithology section models needs to be filled, specifically, the lithology section models may be subjected to interpolation operation according to the layered interfaces between different lithology layers by means of interpolation simulation, and the generated lithology section models are mutually superimposed to form a three-dimensional structure model, so as to obtain a near-surface lithology model as shown in fig. 4, where the near-surface lithology model is composed of a surface soil layer 401, a mudstone lithology layer 402, a sandstone lithology layer 403 and a gravel lithology layer 404 covering the full work area.
In the embodiment, based on the construction of the high-simulation near-surface lithology model, the distribution condition of lithology layers of different lithology in the transverse and longitudinal directions of the full-work area can be comprehensively and intuitively obtained, and further, the optimal excitation well depth of the preset shot point extracted based on the near-surface lithology model can be more accurate.
S103: taking each lithology layer with target lithology as a target lithology layer, and determining radar point cloud data of each target lithology layer; lei Dadian cloud data is used to characterize the optimal burial depth of the shot in the target lithology layer.
It should be noted that different lithologies have different excitation effects, and in common gravels, sandstones and mudstones, the excitation positions of shot points are generally selected from the mudstones with better excitation lithology. In this embodiment, a mudstone lithology layer 402 having a mudstone lithology will be described as a target lithology layer.
In the present embodiment, since there are a plurality of sand-mud interbedded cases of mudstone and sandstone, there may be a plurality of mudstone lithology layers 402 in the longitudinal direction. Referring to fig. 5, a schematic diagram of radar point cloud data for different mudstone lithology layers is shown. The mudstone lithology layers 402 have three layers, and for each mudstone lithology layer 402, corresponding radar point cloud data can be extracted, wherein the radar point cloud data represents the optimal burial depth of the shot in the corresponding mudstone lithology layer, and the optimal burial depth represents the optimal placement depth of the shot in the mudstone lithology layer 402.
S104: acquiring optimal excitation well depth plane data of a work area based on the radar point cloud data corresponding to each target lithology layer; the optimal excitation well depth plane data is used for representing the optimal excitation well depth corresponding to any position in the work area.
In the present embodiment, the extraction of the optimal excitation well depth for mudstone can be achieved in the full work area range by converting the radar point cloud data into the optimal excitation well depth plane data for the full work area.
Specifically, S104 may specifically include the following substeps:
s104-1: and merging the radar point cloud data corresponding to each target lithology layer to obtain target radar point cloud data.
In this embodiment, referring to fig. 6, a schematic diagram of the acquisition of optimal excitation well depth plane data is shown. The target radar point cloud data shown on the left side in fig. 6 can be obtained by merging the radar point cloud data corresponding to each of the three mudstone lithology layers 402 in fig. 5.
In a specific implementation, for any point on the near-surface lithology model, the following operations are performed: when only one radar point cloud data of the target lithology layer exists in the vertical direction of the point location, determining the radar point cloud data of the target lithology layer as first preferable radar point cloud data; or when radar point cloud data of a plurality of target lithology layers exist in the vertical direction of the point location, determining second preferred radar point cloud data in the radar point cloud data of the plurality of target lithology layers according to a preset lithology preferred strategy; and finally, obtaining target radar point cloud data based on the first preferred radar point cloud data and/or the second preferred radar point cloud data.
In this embodiment, in order to obtain stable and high-quality excited lithology and data quality, a preset lithology optimization strategy is to select target radar point cloud data by adopting a "three-optimization" strategy, specifically, a thicker mudstone section is preferred, a deeper mudstone section is preferred, and the middle part of the mudstone is preferred for excitation, wherein the priority of the thicker mudstone section is greater than that of the deeper mudstone section.
In this embodiment, based on the "three-preference" strategy, when radar point cloud data of a plurality of target lithology layers exist in the vertical direction of the point location, radar point cloud data of the middle part of the thickest lithology layer in the plurality of target lithology layers may be selected first as second preferred radar point cloud data; secondly, aiming at the point positions with the same or similar thickness of the target lithology layers, selecting radar point cloud data of the middle part of the deepest lithology layer in the target lithology layers as second optimal radar point cloud data.
S104-2: and obtaining the optimal excitation well depth plane data of the work area based on the target radar point cloud data.
In this embodiment, with continued reference to fig. 6, on the basis of the target radar point cloud data, a blank area without radar point cloud data in the work area may be regarded as a sandstone area, and the optimum excitation well depth of this partial area may be set to a preset value, which is designed according to the optimum excitation well depth of sandstone, and is typically set to 15 meters. By filling the blank area according to a preset value on the basis of target radar point cloud data, the optimal excitation well depth plane data shown on the right side in fig. 6 can be obtained.
S105: and determining the optimal excitation well depth corresponding to the preset shot point in the work area based on the optimal excitation well depth plane data.
In this embodiment, since the optimal excitation well depth plane data can reflect the optimal excitation well depth corresponding to any position in the work area, the point location of the preset shot point, that is, the coordinate information is imported into the optimal excitation well depth plane data, and if the corresponding optimal excitation well depth plane data exists in the vertical direction of the point location, the optimal excitation well depth corresponding to the preset shot point can be directly extracted. And if the corresponding optimal excitation well depth plane data does not exist in the vertical direction of the point position, determining the optimal excitation well depth of the preset shot point as a preset value.
According to the embodiment of the application, the near-surface lithology model capable of reflecting a plurality of lithology layers is constructed by utilizing the core data of a plurality of lithology coring wells in a work area, the best excitation well depth plane data of the work area is obtained by acquiring the radar point cloud data corresponding to each target lithology layer in the near-surface lithology model, and the best excitation well depth corresponding to the preset shot point in the work area is determined based on the obtained best excitation well depth plane data. According to the embodiment of the application, the high-simulation near-surface lithology model is constructed, so that the optimal excitation well depth in the full-work area can be effectively obtained, the explosive can be excited in the target lithology layer according to the optimal excitation well depth at the preset shot point, the design precision of the excitation well depth and the deployment precision of the drilling task are improved, the drilling cost is reduced while the construction efficiency is improved, the quality of acquired data of the complex surface is effectively improved, and the discovery of oil gas is promoted.
In one possible embodiment, S102-3 may specifically include the sub-steps of:
s102-3-1: and obtaining boundary information of the work area, and obtaining a modeling area corresponding to the work area based on the boundary information.
In this embodiment, the near-surface lithology model corresponding to the work area is obtained by overlapping the modeling area corresponding to the work area with the lithology section model and then performing three-dimensional modeling, because the lithology section model constructed by the coring well simulation model cannot completely reflect the lithology distribution of the whole work area.
S102-3-2: the modeling region is superimposed onto the lithologic section model such that the modeling region overlays the lithologic section model.
Referring to fig. 7, a schematic diagram of the superposition of the modeled region and the lithology profile model is shown. Specifically, the boundary information includes coordinate information of a boundary of the work area, and the modeling area can be superimposed on the lithology section model by performing coordinate matching on the coordinate information of the boundary of the work area and the coordinate information of the lithology coring well, so as to ensure that the obtained near-surface lithology model can contain all preset shots.
S102-3-3: and in the modeling area, carrying out interpolation processing on the lithology section model to obtain a near-surface lithology model corresponding to the work area.
In the present embodiment, referring to fig. 8, a schematic diagram of constructing a base model based on a triangular mesh is shown. By setting and adjusting parameters of a model basic unit-triangular grid, a model based on the triangular grid unit is established, a three-dimensional basic model can be obtained, the lithology section model can be established on the basis of the basic model by importing data of the lithology section model into the basic model, and interpolation processing is carried out on the lithology section model in a three-dimensional space in a modeling area, so that a near-surface lithology model corresponding to a work area can be obtained.
Specifically, the lithologic section models may be, but are not limited to, interpolated by interpolation methods such as natural neighborhood interpolation, inverse distance weighted interpolation, etc., to fill in the blank three-dimensional region between the lithologic section models. It should be noted that, when interpolation simulation is performed, accuracy and reasonability of the model can be ensured through manual layer-by-layer inspection, and when defects are detected, adjustment can be performed manually to ensure that the finally constructed near-surface lithology model is true and accurate.
In the present embodiment, the near-surface lithology model shown in fig. 4 can be obtained by interpolating the lithology section model, and the present embodiment defines the near-surface lithology model as an initial near-surface lithology model. Although the initial near-surface lithology model can reflect the distribution of lithology of different lithologies under the ground, the model of the surface part cannot truly reflect the actual surface morphology of the work area. Therefore, in the modeling area, interpolation processing is carried out on the lithology section model, and after the initial near-surface lithology model is obtained, ground elevation data of a work area can be added into the initial near-surface lithology model, so that a more real near-surface lithology model is formed.
It should be noted that, the ground elevation data is a digital representation of the topographic surface morphology attribute information, and is also a digital description with spatial position features and elevation attribute features, and contains rich topographic, topographic and hydrological information. Referring to fig. 9, a schematic representation of the earth's surface is shown with the near-surface lithology model added to the surface elevation data. The ground surface of the near-surface lithology model added with the ground elevation data can truly reflect the terrain features in the work area, and the simulation effect of the near-surface lithology model is improved.
In a second aspect, based on the same inventive concept, referring to fig. 10, an embodiment of the present application provides an excitation well depth extraction device 1000, the excitation well depth extraction device 1000 including:
The core data acquisition module 1001 is configured to acquire core data of a plurality of lithology coring wells in a work area;
The model construction module 1002 is configured to construct a near-surface lithology model corresponding to the work area based on the core data; the near-surface lithology model comprises a plurality of lithology layers, and different lithology layers correspond to different lithology;
a point cloud data determining module 1003, configured to determine radar point cloud data of each target lithology layer, with each lithology layer having target lithology as the target lithology layer; lei Dadian cloud data are used for representing the optimal burial depth of the shot point in the target lithology layer;
the plane data obtaining module 1004 is configured to obtain optimal excitation well depth plane data of the work area based on the radar point cloud data corresponding to each target lithology layer; the optimal excitation well depth plane data is used for representing the optimal excitation well depth corresponding to any position in the work area;
The excitation well depth determining module 1005 is configured to determine an optimal excitation well depth corresponding to a preset shot point in the work area based on the optimal excitation well depth plane data.
In one possible implementation, the model building module 1002 includes:
the coring well simulation model creation submodule is used for creating a coring well simulation model corresponding to each lithology coring well based on the core data; each coring well simulation model includes a respective plurality of lithology layers;
the lithology section model creation submodule is used for connecting lithology layers with the same lithology in each two adjacent coring well simulation models to obtain lithology section models corresponding to the two adjacent coring well simulation models;
and the interpolation processing sub-module is used for obtaining a near-surface lithology model corresponding to the work area by carrying out interpolation processing on the lithology profile model.
In one embodiment of the present application, the interpolation processing sub-module includes:
The boundary information acquisition unit is used for acquiring boundary information of the work area and obtaining a modeling area corresponding to the work area based on the boundary information;
a modeling region superimposing unit configured to superimpose the modeling region on the lithology section model so that the modeling region covers the lithology section model;
And the interpolation processing unit is used for carrying out interpolation processing on the lithology section model in the modeling area to obtain a near-surface lithology model corresponding to the work area.
In one embodiment of the present application, an interpolation processing unit includes:
The initial near-surface lithology model construction subunit is used for carrying out interpolation processing on the lithology section model in the modeling area to obtain an initial near-surface lithology model;
and the ground elevation data adding subunit is used for adding the ground elevation data of the work area into the initial near-surface lithology model to obtain the near-surface lithology model.
In an embodiment of the present application, the plane data acquisition module 1004 includes:
the point cloud data merging sub-module is used for merging the radar point cloud data corresponding to each target lithology layer to obtain target radar point cloud data;
and the plane data acquisition sub-module is used for acquiring the optimal excitation well depth plane data of the work area based on the target radar point cloud data.
In an embodiment of the present application, a point cloud data merging sub-module includes:
The preferred radar point cloud data determining unit is configured to perform the following operations for any point location on the near-surface lithology model: when only one radar point cloud data of the target lithology layer exists in the vertical direction of the point location, determining the radar point cloud data of the target lithology layer as first preferable radar point cloud data; or when radar point cloud data of a plurality of target lithology layers exist in the vertical direction of the point location, determining second preferred radar point cloud data in the radar point cloud data of the plurality of target lithology layers according to a preset lithology preferred strategy;
The target radar point cloud data determining unit is used for obtaining target radar point cloud data based on the first preferred radar point cloud data and/or the second preferred radar point cloud data.
In an embodiment of the present application, a preferred Lei Dadian cloud data determining unit is specifically configured to determine radar point cloud data of a middle part of a thickest lithology layer of the plurality of target lithology layers as second preferred radar point cloud data, or determine radar point cloud data of a middle part of a deepest lithology layer of the plurality of target lithology layers as second preferred radar point cloud data; the radar point cloud data in the middle of the thickest lithology layer in the plurality of target lithology layers has a priority higher than the radar point cloud data in the middle of the deepest lithology layer in the plurality of target lithology layers.
In one embodiment of the application, the excitation well depth determination module 1005 includes:
The first determining submodule is used for determining the optimal excitation well depth of the preset shot point based on the optimal excitation well depth plane data when the corresponding optimal excitation well depth plane data exists in the vertical direction of the preset shot point;
And the second determining submodule is used for determining that the optimal excitation well depth of the preset shot point is a preset value when the corresponding optimal excitation well depth plane data does not exist in the vertical direction of the preset shot point.
It should be noted that, the specific implementation of the excitation well depth extraction device 1000 according to the embodiment of the present application refers to the specific implementation of the excitation well depth extraction method set forth in the first aspect of the foregoing embodiment of the present application, and will not be described herein.
In a third aspect, based on the same inventive concept, an embodiment of the present application provides an electronic device, including: a processor and a memory, wherein the memory has executable code stored thereon, which when executed by the processor causes the processor to perform the method of activated well depth extraction as set forth in the first aspect of the application.
It should be noted that, the specific implementation manner of the electronic device according to the embodiment of the present application refers to the specific implementation manner of the excitation well depth extraction method set forth in the first aspect of the embodiment of the present application, and is not described herein again.
It will be apparent to those skilled in the art that embodiments of the present invention may be provided as a method, apparatus, or computer program product. Accordingly, embodiments of the present invention may take the form of an entirely hardware embodiment, an entirely software embodiment or an embodiment combining software and hardware aspects. Furthermore, embodiments of the invention may take the form of a computer program product on one or more computer-usable storage media (including, but not limited to, disk storage, CD-ROM, optical storage, etc.) having computer-usable program code embodied therein.
Embodiments of the present invention are described with reference to flowchart illustrations and/or block diagrams of methods, terminal devices (systems), and computer program products according to embodiments of the invention. It will be understood that each flow and/or block of the flowchart illustrations and/or block diagrams, and combinations of flows and/or blocks in the flowchart illustrations and/or block diagrams, can be implemented by computer program instructions. These computer program instructions may be provided to a processor of a general purpose computer, special purpose computer, embedded processor, or other programmable data processing terminal device to produce a machine, such that the instructions, which execute via the processor of the computer or other programmable data processing terminal device, create means for implementing the functions specified in the flowchart flow or flows and/or block diagram block or blocks.
These computer program instructions may also be stored in a computer-readable memory that can direct a computer or other programmable data processing apparatus to function in a particular manner, such that the instructions stored in the computer-readable memory produce an article of manufacture including instruction means which implement the function specified in the flowchart flow or flows and/or block diagram block or blocks.
These computer program instructions may also be loaded onto a computer or other programmable data processing apparatus to cause a series of operational steps to be performed on the computer or other programmable apparatus to produce a computer implemented process such that the instructions which execute on the computer or other programmable apparatus provide steps for implementing the functions specified in the flowchart flow or flows and/or block diagram block or blocks.
While preferred embodiments of the present invention have been described, additional variations and modifications in those embodiments may occur to those skilled in the art once they learn of the basic inventive concepts. It is therefore intended that the following claims be interpreted as including the preferred embodiment and all such alterations and modifications as fall within the scope of the embodiments of the invention.
Finally, it is further noted that relational terms such as first and second, and the like are used solely to distinguish one entity or action from another entity or action without necessarily requiring or implying any actual such relationship or order between such entities or actions. Moreover, the terms "comprises," "comprising," or any other variation thereof, are intended to cover a non-exclusive inclusion, such that a process, method, article, or terminal that comprises a list of elements does not include only those elements but may include other elements not expressly listed or inherent to such process, method, article, or terminal. Without further limitation, an element defined by the phrase "comprising one … …" does not exclude the presence of other like elements in a process, method, article, or terminal device that comprises the element.
The method, the device and the electronic equipment for extracting the excitation well depth provided by the invention are described in detail, and specific examples are applied to the description of the principle and the implementation mode of the invention, and the description of the examples is only used for helping to understand the method and the core idea of the invention; meanwhile, as those skilled in the art will have variations in the specific embodiments and application scope in accordance with the ideas of the present invention, the present description should not be construed as limiting the present invention in view of the above.
Claims (10)
1. A method of excitation well depth extraction, the method comprising:
acquiring core data of a plurality of lithology coring wells in a work area;
Based on the core data, constructing a near-surface lithology model corresponding to the work area; the near-surface lithology model comprises a plurality of lithology layers, and different lithology layers correspond to different lithology;
taking each lithology layer with target lithology as a target lithology layer, and determining radar point cloud data of each target lithology layer; the radar point cloud data are used for representing the optimal burial depth of a shot point in the target lithology layer;
obtaining optimal excitation well depth plane data of the work area based on the radar point cloud data corresponding to each target lithology layer; the optimal excitation well depth plane data is used for representing the optimal excitation well depth corresponding to any position in the work area;
and determining the optimal excitation well depth corresponding to the preset shot point in the work area based on the optimal excitation well depth plane data.
2. The method of excitation well depth extraction of claim 1, wherein constructing a near-surface lithology model corresponding to the work zone based on the core data comprises:
Based on the core data, creating a core well simulation model corresponding to each lithology core well; each coring well simulation model includes a respective plurality of lithology layers;
Connecting lithologic layers with the same lithologic characteristics in each two adjacent coring well simulation models to obtain lithologic section models corresponding to the two adjacent coring well simulation models;
And obtaining a near-surface lithology model corresponding to the work area by carrying out interpolation processing on the lithology section model.
3. The method of extracting the depth of the well according to claim 2, wherein the obtaining the near-surface lithology model corresponding to the work area by interpolating the lithology section model includes:
acquiring boundary information of the work area, and obtaining a modeling area corresponding to the work area based on the boundary information;
superimposing the modeled region onto the lithology section model such that the modeled region covers the lithology section model;
and in the modeling area, carrying out interpolation processing on the lithology section model to obtain a near-surface lithology model corresponding to the work area.
4. The method of extracting the depth of the excitation well according to claim 3, wherein the interpolating the lithology section model in the modeling area to obtain a near-surface lithology model corresponding to the work area comprises:
in the modeling area, carrying out interpolation processing on the lithology section model to obtain an initial near-surface lithology model;
and adding ground elevation data of the work area into the initial near-surface lithology model to obtain the near-surface lithology model.
5. The method of excitation well depth extraction according to claim 1, wherein obtaining optimal excitation well depth plane data for the work zone based on the respective radar point cloud data for each of the target lithology layers comprises:
combining the radar point cloud data corresponding to each target lithology layer to obtain target radar point cloud data;
and obtaining optimal excitation well depth plane data of the work area based on the target radar point cloud data.
6. The method of extracting the depth of excitation well of claim 5, wherein merging the radar point cloud data corresponding to each of the target lithology layers to obtain target radar point cloud data comprises:
For any point on the near-surface lithology model, performing the following operations: when only the radar point cloud data of one target lithology layer exists in the vertical direction of the point location, determining the radar point cloud data of the target lithology layer as first preferable radar point cloud data; or when radar point cloud data of a plurality of target lithology layers exist in the vertical direction of the point location, determining second preferred radar point cloud data in the radar point cloud data of the plurality of target lithology layers according to a preset lithology preferred strategy;
and obtaining the target radar point cloud data based on the first preferred radar point cloud data and/or the second preferred radar point cloud data.
7. The method of extracting the depth of the well from the excitation well according to claim 6, wherein when there are a plurality of radar point cloud data of the target lithology layers in a vertical direction of the point location, determining second preferred radar point cloud data among the radar point cloud data of the plurality of target lithology layers according to a preset lithology preference policy, comprises:
Determining radar point cloud data of the middle part of the thickest lithology layer in the plurality of target lithology layers as the second preferred radar point cloud data, or determining radar point cloud data of the middle part of the deepest lithology layer in the plurality of target lithology layers as the second preferred radar point cloud data; the radar point cloud data in the middle of the thickest lithology layer in the plurality of target lithology layers has a higher priority than the radar point cloud data in the middle of the deepest lithology layer in the plurality of target lithology layers.
8. The method of extracting an excitation well depth according to claim 1, wherein determining an optimal excitation well depth corresponding to a preset shot point in the work area based on the optimal excitation well depth plane data comprises:
when corresponding optimal excitation well depth plane data exists in the vertical direction of the preset shot point, determining the optimal excitation well depth of the preset shot point based on the optimal excitation well depth plane data;
and when the corresponding optimal excitation well depth plane data does not exist in the vertical direction of the preset shot point, determining that the optimal excitation well depth of the preset shot point is a preset value.
9. An excitation well depth extraction apparatus, the apparatus comprising:
The rock core data acquisition module is used for acquiring rock core data of a plurality of lithology coring wells in a work area;
The model construction module is used for constructing a near-surface lithology model corresponding to the work area based on the core data; the near-surface lithology model comprises a plurality of lithology layers, and different lithology layers correspond to different lithology;
the point cloud data determining module is used for determining radar point cloud data of each target lithology layer by taking each lithology layer with target lithology as the target lithology layer; the radar point cloud data are used for representing the optimal burial depth of a shot point in the target lithology layer;
The plane data acquisition module is used for acquiring the optimal excitation well depth plane data of the work area based on the radar point cloud data corresponding to each target lithology layer; the optimal excitation well depth plane data is used for representing the optimal excitation well depth corresponding to any position in the work area;
And the excitation well depth determining module is used for determining the optimal excitation well depth corresponding to the preset shot point in the work area based on the optimal excitation well depth plane data.
10. An electronic device, comprising: a processor and a memory, wherein the memory has executable code stored thereon, which when executed by the processor, causes the processor to perform the method of stimulated well depth extraction of any one of claims 1-8.
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