A method, apparatus and electronic equipment for stimulating well depth extraction

Abstract

This application provides a method, apparatus, and electronic equipment for extracting excitation well depth, belonging to the field of petroleum seismic exploration. The embodiments of this application utilize core data from several lithological coring wells within the work area to construct a near-surface lithological model reflecting multiple lithological layers. By acquiring radar point cloud data corresponding to each target lithological layer in the near-surface lithological model, the optimal excitation well depth planar data for the work area is obtained. Based on this optimal excitation well depth planar data, the optimal excitation well depth corresponding to the preset shot points within the work area is determined. This application, by constructing a highly realistic near-surface lithological model, enables explosives to be detonated at the preset shot points within the target lithological layer at the optimal excitation well depth. This improves the design accuracy of the excitation well depth and the precision of drilling task deployment, increasing construction efficiency while reducing drilling costs. Simultaneously, it effectively improves the quality of data collected from complex surfaces, promoting oil and gas discovery.

Description

Technical Field

[0001] This application relates to the field of seismic exploration of petroleum, and in particular to a method, apparatus and electronic equipment for stimulating well depth extraction. Background Art

[0002] There are two methods for triggering seismic data acquisition on land: explosive triggering and controlled-source triggering. With the development of high-density, wide-azimuth acquisition technology, controlled-source triggering has become the main triggering method for economic integration due to its green, safe, and frequency-adjustable characteristics. However, in complex surface areas, such as mountains, hills, and water areas, controlled-source triggering cannot be used due to its own accessibility. Therefore, explosive triggering is still the irreplaceable exploration method at present.

[0003] The well depth and lithology of explosive-triggered seismic acquisition are the main factors affecting the triggering signal. A reasonable well depth design is crucial, as it impacts not only the quality of the acquired data but also the efficiency of the acquisition process. In areas with complex surface conditions, such as the Sichuan Basin, well-firing is the primary method of seismic acquisition.

[0004] Currently, the design of well depth for drilling is usually based on geological maps, employing a floating well depth design and on-site tracking of lithology during drilling. This requires drilling personnel to identify the lithology at the bottom of the well and to stop drilling when mudstone is encountered to control the well depth. This design and construction method is limited by factors such as uneven thickness of underground sandstone and mudstone and inaccurate lithology tracking by field drilling personnel, which can easily lead to unreasonable well depth design and low accuracy. Summary of the Invention

[0005] This application provides a method, apparatus, and electronic device for stimulating well depth extraction, in order to solve the problems of unreasonable design and low accuracy of existing technologies for stimulating well depth under complex surface conditions.

[0006] To solve the above problems, this application adopts the following technical solution:

[0007] In a first aspect, embodiments of this application provide a method for extracting well depth, the method comprising:

[0008] Obtain core data from several lithological coring wells within the work area;

[0009] Based on the core data, a near-surface lithology model corresponding to the work area is constructed; the near-surface lithology model includes multiple lithological layers, with different lithological layers corresponding to different lithologies;

[0010] Each lithological layer with the target lithology is designated as the target lithological layer, and radar point cloud data for each target lithological layer is determined; the radar point cloud data is used to characterize the optimal burial depth of the shot point in the target lithological layer.

[0011] Based on the radar point cloud data corresponding to each of the target lithological layers, the optimal excitation well depth plane data of the work area is obtained; the optimal excitation well depth plane data is used to characterize the optimal excitation well depth corresponding to any location in the work area.

[0012] Based on the optimal excitation well depth planar data, the optimal excitation well depth corresponding to the preset shot point in the work area is determined.

[0013] In one embodiment of this application, based on the core data, a near-surface lithological model corresponding to the work area is constructed, including:

[0014] Based on the core data, a simulation model for each lithological core well is created; each simulation model includes multiple corresponding lithological layers.

[0015] Connect the lithological layers with the same lithology in every two adjacent core well simulation models to obtain the lithological profile models corresponding to the two adjacent core well simulation models;

[0016] By interpolating the lithological profile model, the near-surface lithological model corresponding to the work area is obtained.

[0017] In one embodiment of this application, a near-surface lithological model corresponding to the work area is obtained by interpolating the lithological profile model, including:

[0018] Obtain the boundary information of the work area, and based on the boundary information, obtain the modeling area corresponding to the work area;

[0019] The modeling region is superimposed on the lithological profile model so that the modeling region covers the lithological profile model;

[0020] Within the modeling area, the lithological profile model is interpolated to obtain the near-surface lithological model corresponding to the work area.

[0021] In one embodiment of this application, within the modeling area, the lithological profile model is interpolated to obtain a near-surface lithological model corresponding to the work area, including:

[0022] Within the modeling area, the lithological profile model is interpolated to obtain an initial near-surface lithological model;

[0023] The ground elevation data of the work area are added to the initial near-surface lithology model to obtain the near-surface lithology model.

[0024] In one embodiment of this application, the optimal excitation well depth planar data for the work area is obtained based on the radar point cloud data corresponding to each of the target lithological layers, including:

[0025] The radar point cloud data corresponding to each of the target lithological layers are merged to obtain the target radar point cloud data.

[0026] Based on the target radar point cloud data, the optimal excitation well depth plane data for the work area is obtained.

[0027] In one embodiment of this application, the radar point cloud data corresponding to each of the target lithological layers is merged to obtain target radar point cloud data, including:

[0028] For any point on the near-surface lithology model, the following operations are performed: when only one target lithology layer's radar point cloud data exists in the vertical direction of the point, the radar point cloud data of that target lithology layer is determined as the first preferred radar point cloud data; or, when multiple target lithology layers' radar point cloud data exist in the vertical direction of the point, the second preferred radar point cloud data is determined from the radar point cloud data of the multiple target lithology layers according to a preset lithology optimization strategy.

[0029] The target radar point cloud data is obtained based on the first preferred radar point cloud data and / or the second preferred radar point cloud data.

[0030] In one embodiment of this application, when radar point cloud data of multiple target lithological layers exist in the vertical direction of the point, a second preferred radar point cloud data is determined from the radar point cloud data of the multiple target lithological layers according to a preset lithology optimization strategy, including:

[0031] The radar point cloud data of the middle part of the thickest lithological layer among the multiple target lithological layers is determined as the second preferred radar point cloud data, or the radar point cloud data of the middle part of the deepest lithological layer among the multiple target lithological layers is determined as the second preferred radar point cloud data; wherein, the radar point cloud data of the middle part of the thickest lithological layer among the multiple target lithological layers has a higher priority than the radar point cloud data of the middle part of the deepest lithological layer among the multiple target lithological layers.

[0032] In one embodiment of this application, determining the optimal firing depth corresponding to a preset shot point within the work area based on the optimal firing depth planar data includes:

[0033] When there is corresponding optimal excitation well depth plane data in the vertical direction of the preset shot point, the optimal excitation well depth of the preset shot point is determined based on the optimal excitation well depth plane data.

[0034] When there is no corresponding optimal excitation well depth plane data in the vertical direction of the preset shot point, the optimal excitation well depth of the preset shot point is determined to be a preset value.

[0035] Secondly, based on the same inventive concept, embodiments of this application provide an apparatus for stimulating well depth extraction, the apparatus comprising:

[0036] The core data acquisition module is used to acquire core data from several lithological core sampling wells within the work area;

[0037] The model building module is used to construct a near-surface lithology model corresponding to the work area based on the core data; the near-surface lithology model includes multiple lithological layers, and different lithological layers correspond to different lithologies;

[0038] The point cloud data determination module is used to identify each lithological layer with the target lithology as the target lithological layer and determine the radar point cloud data for each target lithological layer; the radar point cloud data is used to characterize the optimal burial depth of the shot point in the target lithological layer.

[0039] The planar data acquisition module is used to obtain the optimal excitation well depth planar data of the work area based on the radar point cloud data corresponding to each of the target lithological layers; the optimal excitation well depth planar data is used to characterize the optimal excitation well depth corresponding to any location in the work area.

[0040] The well depth determination module is used to determine the optimal well depth corresponding to the preset shot point in the work area based on the optimal well depth plane data.

[0041] In one embodiment of this application, the model building module includes:

[0042] The core well simulation model creation submodule is used to create a core well simulation model corresponding to each lithological core well based on the core data; each core well simulation model includes multiple corresponding lithological layers;

[0043] The lithological profile model creation submodule is used to connect lithological layers with the same lithology in every two adjacent core well simulation models to obtain the lithological profile models corresponding to the two adjacent core well simulation models.

[0044] The interpolation processing submodule is used to obtain the near-surface lithology model corresponding to the work area by interpolating the lithological profile model.

[0045] In one embodiment of this application, the interpolation processing submodule includes:

[0046] A boundary information acquisition unit is used to acquire the boundary information of the work area and, based on the boundary information, obtain the modeling area corresponding to the work area.

[0047] A modeling region overlay unit is used to overlay the modeling region onto the lithological profile model so that the modeling region covers the lithological profile model;

[0048] An interpolation processing unit is used to perform interpolation processing on the lithological profile model within the modeling area to obtain the near-surface lithological model corresponding to the work area.

[0049] In one embodiment of this application, the interpolation processing unit includes:

[0050] An initial near-surface lithology model construction sub-unit is used to interpolate the lithology profile model within the modeling area to obtain the initial near-surface lithology model.

[0051] Ground elevation data is added to a sub-unit to incorporate the ground elevation data of the work area into the initial near-surface lithology model, thereby obtaining the near-surface lithology model.

[0052] In one embodiment of this application, the planar data acquisition module includes:

[0053] The point cloud data merging submodule is used to merge the radar point cloud data corresponding to each of the target lithological layers to obtain the target radar point cloud data.

[0054] The planar data acquisition submodule is used to obtain the optimal excitation well depth planar data of the work area based on the target radar point cloud data.

[0055] In one embodiment of this application, the point cloud data merging submodule includes:

[0056] The preferred radar point cloud data determination unit is used to perform the following operations for any point on the near-surface lithology model: when there is only radar point cloud data of one target lithology layer in the vertical direction of the point, the radar point cloud data of the target lithology layer is determined as the first preferred radar point cloud data; or, when there is radar point cloud data of multiple target lithology layers in the vertical direction of the point, the second preferred radar point cloud data is determined from the radar point cloud data of the multiple target lithology layers according to a preset lithology selection strategy.

[0057] The target radar point cloud data determination unit is used to obtain the target radar point cloud data based on the first preferred radar point cloud data and / or the second preferred radar point cloud data.

[0058] In one embodiment of this application, the preferred radar point cloud data determining unit is specifically used to determine the radar point cloud data of the middle part of the thickest lithological layer among the plurality of target lithological layers as the second preferred radar point cloud data, or to determine the radar point cloud data of the middle part of the deepest lithological layer among the plurality of target lithological layers as the second preferred radar point cloud data; wherein, the radar point cloud data of the middle part of the thickest lithological layer among the plurality of target lithological layers has a higher priority than the radar point cloud data of the middle part of the deepest lithological layer among the plurality of target lithological layers.

[0059] In one embodiment of this application, the well depth determination module includes:

[0060] The first determining submodule is used to determine the optimal excitation well depth of the preset shot point based on the optimal excitation well depth plane data when there is corresponding optimal excitation well depth plane data in the vertical direction of the preset shot point.

[0061] The second determining submodule is used to determine the optimal excitation well depth of the preset shot point as a preset value when there is no corresponding optimal excitation well depth plane data in the vertical direction of the preset shot point.

[0062] Thirdly, based on the same inventive concept, embodiments of this application provide an electronic device, including: a processor and a memory, wherein executable code is stored in the memory, and when the executable code is executed by the processor, the processor performs the well depth extraction method as proposed in the first aspect of this application.

[0063] Compared with the prior art, this application has the following advantages:

[0064] This application provides a method for extracting the optimal well depth. It utilizes core data from several lithological coring wells within a work area to construct a near-surface lithological model reflecting multiple lithological layers. By acquiring radar point cloud data corresponding to each target lithological layer in the near-surface lithological model, the optimal well depth planar data for the work area is obtained. Based on this optimal well depth planar data, the optimal well depth corresponding to a preset shot point within the work area is determined. This application, by constructing a highly realistic near-surface lithological model, can effectively obtain the optimal well depth for the entire work area. This ensures that explosives are detonated at the preset shot points within the target lithological layer at the optimal well depth, improving the design accuracy of the well depth and the precision of drilling task deployment. This increases construction efficiency while reducing drilling costs, and also effectively improves the quality of data collected from complex surfaces, thus promoting oil and gas discovery. Attached Figure Description

[0065] To more clearly illustrate the technical solutions in the embodiments of the present invention or the prior art, the drawings used in the description of the embodiments or the prior art will be briefly introduced below. Obviously, the drawings described below are only some embodiments of the present invention. For those skilled in the art, other drawings can be obtained based on these drawings without creative effort.

[0066] Figure 1 This is a flowchart of the steps of a method for extracting well depth according to an embodiment of this application.

[0067] Figure 2This is a schematic diagram of a core well simulation model in one embodiment of this application.

[0068] Figure 3 This is a schematic diagram of a lithological profile model in one embodiment of this application.

[0069] Figure 4 This is a schematic diagram of a near-surface lithology model in one embodiment of this application.

[0070] Figure 5 This is a schematic diagram of radar point cloud data for different mudstone lithological layers in one embodiment of this application.

[0071] Figure 6 This is a schematic diagram illustrating the acquisition of optimal excitation well depth plane data in one embodiment of this application.

[0072] Figure 7 This is a schematic diagram of the superposition of the modeling area and the lithological profile model in one embodiment of this application.

[0073] Figure 8 This is a schematic diagram of a basic model constructed based on a triangular mesh in one embodiment of this application.

[0074] Figure 9 This is a schematic representation of a near-surface lithology model after incorporating ground elevation data in one embodiment of this application.

[0075] Figure 10 This is a schematic diagram of the functional modules of a well depth extraction device according to an embodiment of this application.

[0076] Figure labels: 201-Topsoil layer of the core well; 202-Mudstone lithology layer of the core well; 203-Sandstone lithology layer of the core well; 204-Gravel lithology layer of the core well; 301-Topsoil profile model; 302-Mudstone lithology profile model; 303-Sandstone lithology profile model; 304-Gravel lithology profile model; 401-Topsoil layer; 402-Mudstone lithology layer; 403-Sandstone lithology layer; 404-Gravel lithology layer; 1000-Deepening device for stimulating well depth; 1001-Core data acquisition module; 1002-Model construction module; 1003-Point cloud data determination module; 1004-Planar data acquisition module; 1005-Deepening module for stimulating well depth. Detailed Implementation

[0077] The following will clearly and completely describe the technical solutions in the embodiments of the present invention in conjunction with the accompanying drawings. Obviously, the described embodiments are only part of the embodiments of the present invention, not all of the embodiments. Based on the embodiments of the present invention, all other embodiments obtained by ordinary technicians in this field without making creative efforts are within the scope of protection of the present invention.

[0078] Reference Figure 1 The diagram illustrates a flowchart of a method for extracting well depth according to this application. The method may include the following steps:

[0079] S101: Obtain core data from several lithological coring wells within the work area.

[0080] It should be noted that a lithological coring well is a well drilled using a special drilling rig to extract underground rock cores in order to directly obtain information about the lithology of the strata. A rock core, on the other hand, is a cylindrical rock sample extracted from the borehole using a core ring drill bit and other coring tools.

[0081] In this embodiment, by uniformly deploying lithological core wells within the work area, cylindrical rock samples collected on-site can be analyzed to obtain core data reflecting the distribution of underground lithology. Based on the core data corresponding to each lithological core well, longitudinal and transverse lithological data of the work area can be obtained. This longitudinal and transverse lithological data can effectively reflect the distribution of lithological layers of different lithologies underground in the work area.

[0082] S102: Based on core data, construct a near-surface lithology model corresponding to the work area; the near-surface lithology model includes multiple lithological layers, with different lithological layers corresponding to different lithologies.

[0083] In this embodiment, by integrating and analyzing the core data from all lithological core wells in the work area, each lithological core well is used as a lithological control point in the modeling. Lithological layers with the same lithology between each lithological control point are connected, and a three-dimensional model is constructed to obtain the near-surface lithological model corresponding to the entire work area.

[0084] Specifically, S102 may include the following sub-steps:

[0085] S102-1: Based on core data, create a simulation model for each lithological core well; each core well simulation model includes multiple corresponding lithological layers.

[0086] Reference Figure 2 The diagram shows a structural schematic of the core well simulation model. Each core well simulation model typically includes four types of lithological layers: topsoil, mudstone, sandstone, and gravel, corresponding to the core well topsoil layer 201, core well mudstone lithological layer 202, core well sandstone lithological layer 203, and core well gravel lithological layer 204, respectively.

[0087] It should be noted that the same type of lithological layer may exist in multiple layers in a lithological core well. For example, there may be multiple mudstone lithological layers 202 in the same lithological core well.

[0088] S102-2: Connect the lithological layers with the same lithology in every two adjacent core well simulation models to obtain the lithological profile model corresponding to the two adjacent core well simulation models.

[0089] In this embodiment, referring to Figure 3 The diagram shows a schematic of a lithological profile model. By connecting lithological layers with the same lithology in two adjacent core well simulation models, a corresponding lithological profile model can be obtained, which may include topsoil profile model 301, mudstone lithological profile model 302, sandstone lithological profile model 303, and gravel lithological profile model 304.

[0090] S102-3: By interpolating the lithological profile model, the near-surface lithological model corresponding to the work area is obtained.

[0091] In this embodiment, after creating the lithological profile model, it is necessary to fill the spaces between the lithological profile models. Specifically, this can be achieved through interpolation simulation, where interpolation calculations are performed on the lithological profile models according to the layering interfaces between different lithological layers. The generated lithological profile models are then superimposed to form a three-dimensional structural model, thus obtaining, as shown... Figure 4 The near-surface lithology model shown consists of a topsoil layer 401, a mudstone lithology layer 402, a sandstone lithology layer 403, and a gravel lithology layer 404 covering the entire work area.

[0092] In this embodiment, based on the construction of a highly realistic near-surface lithology model, the distribution of lithological layers of different lithologies in the horizontal and vertical directions of the entire work area can be obtained comprehensively and intuitively. As a result, the optimal firing depth of the preset shot point extracted based on the near-surface lithology model can be more accurate.

[0093] S103: Take each lithological layer with the target lithology as the target lithological layer and determine the radar point cloud data of each target lithological layer; the radar point cloud data is used to characterize the optimal burial depth of the shot point in the target lithological layer.

[0094] It should be noted that different lithologies have different activation effects. Among common gravel, sandstone, and mudstone, mudstone, which has better activation properties, is usually selected as the activation location for the shot. In this embodiment, mudstone lithology layer 402, which has mudstone properties, will be used as the target lithology layer for explanation.

[0095] In this embodiment, because there are multiple alternating layers of mudstone and sandstone, the mudstone lithological layer 402 may have multiple layers in the vertical direction. (Refer to...) Figure 5The diagram illustrates radar point cloud data for different mudstone lithological layers. Mudstone lithological layer 402 comprises three layers. For each mudstone lithological layer 402, corresponding radar point cloud data can be extracted. This radar point cloud data represents the optimal burial depth of the shot point within the corresponding mudstone lithological layer, and this optimal burial depth represents the optimal placement depth of the shot point within that mudstone lithological layer 402.

[0096] S104: Based on the radar point cloud data corresponding to each target lithology layer, the optimal excitation well depth plane data of the work area is obtained; the optimal excitation well depth plane data is used to characterize the optimal excitation well depth corresponding to any location in the work area.

[0097] In this embodiment, by converting radar point cloud data into optimal excitation well depth planar data for the entire work area, the optimal excitation well depth for mudstone can be extracted across the entire work area.

[0098] Specifically, S104 may include the following sub-steps:

[0099] S104-1: Merge the radar point cloud data corresponding to each target lithology layer to obtain the target radar point cloud data.

[0100] In this embodiment, referring to Figure 6 This illustrates a schematic diagram of obtaining optimal excitation well depth plane data. (By...) Figure 5 By merging the radar point cloud data corresponding to the three mudstone lithological layers 402, we can obtain... Figure 6 The target radar point cloud data is shown on the left side of the middle screen.

[0101] In the specific implementation, for any point on the near-surface lithology model, the following operations are performed: when only one target lithology layer's radar point cloud data exists in the vertical direction of the point, the radar point cloud data of that target lithology layer is determined as the first preferred radar point cloud data; or, when multiple target lithology layers' radar point cloud data exist in the vertical direction of the point, the second preferred radar point cloud data is determined from the radar point cloud data of the multiple target lithology layers according to a preset lithology optimization strategy; finally, the target radar point cloud data is obtained based on the first preferred radar point cloud data and / or the second preferred radar point cloud data.

[0102] In this embodiment, in order to obtain stable and high-quality excitation lithology and data quality, the preset lithology optimization strategy will adopt a "three-optimization" strategy to select target radar point cloud data, specifically, to optimize thicker mudstone sections, to optimize deeper mudstone sections, and to optimize excitation in the middle of mudstone. Among these, the priority of thicker mudstone sections is greater than that of deeper mudstone sections.

[0103] In this embodiment, based on the "three-optimization" strategy, when there are radar point cloud data of multiple target lithological layers in the vertical direction of a point, the radar point cloud data of the middle part of the thickest lithological layer among the multiple target lithological layers can be selected first as the second preferred radar point cloud data; secondly, for points where the thickness of multiple target lithological layers is the same or similar, the radar point cloud data of the middle part of the deepest lithological layer among the multiple target lithological layers can be selected as the second preferred radar point cloud data.

[0104] S104-2: Based on target radar point cloud data, obtain the optimal excitation well depth plane data for the work area.

[0105] In this embodiment, refer to Figure 6 Based on the target radar point cloud data, blank areas within the work area lacking radar point cloud data can be considered as sandstone regions. The optimal excitation well depth for these areas is set to a preset value, typically 15 meters, designed based on the optimal excitation well depth for sandstone. By filling the blank areas with the preset value based on the target radar point cloud data, the optimal excitation well depth for these areas can be obtained. Figure 6 The optimal excitation well depth plane data is shown on the right side of the middle section.

[0106] S105: Based on the optimal excitation well depth plane data, determine the optimal excitation well depth corresponding to the preset shot points in the work area.

[0107] In this embodiment, since the optimal excitation well depth plane data can reflect the optimal excitation well depth corresponding to any location within the work area, the location, i.e., the coordinate information of the preset shot point, is imported into the optimal excitation well depth plane data. If there is corresponding optimal excitation well depth plane data in the vertical direction of that point, the optimal excitation well depth corresponding to the preset shot point can be directly extracted. If there is no corresponding optimal excitation well depth plane data in the vertical direction of that point, the optimal excitation well depth of the preset shot point is determined to be a preset value.

[0108] This application embodiment utilizes core data from several lithological coring wells within the work area to construct a near-surface lithological model reflecting multiple lithological layers. By acquiring radar point cloud data corresponding to each target lithological layer in the near-surface lithological model, the optimal excitation well depth plane data for the work area is obtained. Based on this optimal excitation well depth plane data, the optimal excitation well depth corresponding to the preset shot points within the work area is determined. This application embodiment, by constructing a highly realistic near-surface lithological model, can effectively obtain the optimal excitation well depth for the entire work area. This ensures that explosives can be detonated at the preset shot points within the target lithological layer at the optimal excitation well depth, improving the design accuracy of the excitation well depth and the precision of drilling task deployment. This increases construction efficiency while reducing drilling costs, and also effectively improves the quality of data collected from complex surfaces, promoting oil and gas discovery.

[0109] In one feasible implementation, S102-3 may specifically include the following sub-steps:

[0110] S102-3-1: Obtain the boundary information of the work area, and based on the boundary information, obtain the modeling area corresponding to the work area.

[0111] It should be noted that since the lithological profile model constructed by the core well simulation model cannot fully reflect the lithological distribution of the entire work area, in this embodiment, the near-surface lithological model of the work area can be obtained by superimposing the modeling area corresponding to the work area with the lithological profile model and then performing three-dimensional modeling.

[0112] S102-3-2: Overlay the modeling region onto the lithological profile model so that the modeling region covers the lithological profile model.

[0113] Reference Figure 7 The diagram illustrates the overlay of the modeling area and the lithological profile model. Specifically, the boundary information includes the coordinates of the work area boundary. By matching the coordinates of the work area boundary with the coordinates of the lithological core wells, the modeling area can be overlaid onto the lithological profile model, ensuring that the resulting near-surface lithological model includes all the preset shot points.

[0114] S102-3-3: Within the modeling area, the lithological profile model is interpolated to obtain the near-surface lithological model corresponding to the work area.

[0115] In this embodiment, referring to Figure 8 The diagram illustrates the construction of a basic model based on a triangular mesh. By setting and adjusting the parameters of the basic model unit—the triangular mesh—a model based on triangular mesh units can be established, resulting in a three-dimensional basic model. By importing the data of the lithological profile model into the basic model, a lithological profile model can be constructed on the basis of the basic model. Furthermore, by interpolating the lithological profile model in the three-dimensional space within the modeling area, the near-surface lithological model corresponding to the work area can be obtained.

[0116] Specifically, interpolation methods such as natural neighborhood interpolation and inverse distance weighted interpolation can be used to interpolate and simulate lithological profile models to fill in the blank three-dimensional areas between lithological profile models. It should be noted that during interpolation simulation, the accuracy and rationality of the model can be ensured through manual layer-by-layer checks. When defects are found, manual adjustments can be made to ensure that the final near-surface lithological model is realistic and accurate.

[0117] In this embodiment, by interpolating the lithological profile model, the following can be obtained: Figure 4The near-surface lithological model shown is a near-surface lithological model without added elevation data; in this embodiment, it is defined as the initial near-surface lithological model. While this initial near-surface lithological model can reflect the distribution of different lithologies beneath the surface, the surface portion of the model does not accurately reflect the actual surface morphology of the work area. Therefore, after interpolating the lithological profile model within the modeling area to obtain the initial near-surface lithological model, ground elevation data of the work area can be added to the initial near-surface lithological model to form a more realistic near-surface lithological model.

[0118] It should be noted that ground elevation data is a digital representation of topographic surface morphology information, and also a digital description with spatial location and elevation attributes, containing rich topographic, geomorphological, and hydrological information. (Refer to...) Figure 9 This diagram illustrates the surface representation of the near-surface lithology model after incorporating ground elevation data. The addition of ground elevation data allows the near-surface lithology model to accurately reflect the topographic features of the work area, improving the simulation performance of the near-surface lithology model.

[0119] Secondly, based on the same inventive concept, and referring to... Figure 10 This application provides an activated well depth extraction device 1000, which includes:

[0120] Core data acquisition module 1001 is used to acquire core data from several lithological core sampling wells in the work area;

[0121] Model building module 1002 is used to build a near-surface lithology model corresponding to the work area based on core data; the near-surface lithology model includes multiple lithological layers, and different lithological layers correspond to different lithologies;

[0122] The point cloud data determination module 1003 is used to determine the radar point cloud data of each target lithology layer as the target lithology layer; the radar point cloud data is used to characterize the optimal burial depth of the shot point in the target lithology layer.

[0123] The planar data acquisition module 1004 is used to obtain the optimal excitation well depth planar data of the work area based on the radar point cloud data corresponding to each target lithology layer; the optimal excitation well depth planar data is used to characterize the optimal excitation well depth corresponding to any location in the work area.

[0124] The 1005 module for determining the excitation well depth is used to determine the optimal excitation well depth corresponding to the preset shot point in the work area based on the optimal excitation well depth plane data.

[0125] In one feasible implementation, the model building module 1002 includes:

[0126] The core well simulation model creation submodule is used to create a core well simulation model corresponding to each lithology core well based on core data; each core well simulation model includes multiple corresponding lithology layers;

[0127] The lithological profile model creation submodule is used to connect lithological layers with the same lithology in every two adjacent core well simulation models to obtain the lithological profile models corresponding to the two adjacent core well simulation models.

[0128] The interpolation processing submodule is used to obtain the near-surface lithology model corresponding to the work area by interpolating the lithological profile model.

[0129] In one embodiment of this application, the interpolation processing submodule includes:

[0130] The boundary information acquisition unit is used to acquire the boundary information of the work area and, based on the boundary information, obtain the modeling area corresponding to the work area.

[0131] Modeling region overlay unit, used to overlay the modeling region onto the lithological profile model so that the modeling region covers the lithological profile model;

[0132] The interpolation processing unit is used to interpolate the lithological profile model within the modeling area to obtain the near-surface lithological model corresponding to the work area.

[0133] In one embodiment of this application, the interpolation processing unit includes:

[0134] The initial near-surface lithology model construction sub-unit is used to interpolate the lithology profile model within the modeling area to obtain the initial near-surface lithology model.

[0135] Ground elevation data is added to a sub-unit to incorporate the ground elevation data of the work area into the initial near-surface lithology model, thus obtaining the near-surface lithology model.

[0136] In one embodiment of this application, the planar data acquisition module 1004 includes:

[0137] The point cloud data merging submodule is used to merge the radar point cloud data corresponding to each target lithology layer to obtain the target radar point cloud data.

[0138] The planar data acquisition submodule is used to obtain the optimal excitation well depth planar data of the work area based on the target radar point cloud data.

[0139] In one embodiment of this application, the point cloud data merging submodule includes:

[0140] The preferred radar point cloud data determination unit is used to perform the following operations for any point on the near-surface lithology model: when only one target lithology layer's radar point cloud data exists in the vertical direction of the point, the radar point cloud data of that target lithology layer is determined as the first preferred radar point cloud data; or, when multiple target lithology layers' radar point cloud data exist in the vertical direction of the point, the second preferred radar point cloud data is determined from the radar point cloud data of multiple target lithology layers according to a preset lithology selection strategy.

[0141] The target radar point cloud data determination unit is used to obtain target radar point cloud data based on the first preferred radar point cloud data and / or the second preferred radar point cloud data.

[0142] In one embodiment of this application, the preferred radar point cloud data determination unit is specifically used to determine the radar point cloud data of the middle part of the thickest lithological layer among multiple target lithological layers as the second preferred radar point cloud data, or to determine the radar point cloud data of the middle part of the deepest lithological layer among multiple target lithological layers as the second preferred radar point cloud data; wherein, the radar point cloud data of the middle part of the thickest lithological layer among multiple target lithological layers has a higher priority than the radar point cloud data of the middle part of the deepest lithological layer among multiple target lithological layers.

[0143] In one embodiment of this application, the well depth determination module 1005 includes:

[0144] The first determining submodule is used to determine the optimal excitation well depth of the preset shot point based on the optimal excitation well depth plane data when there is corresponding optimal excitation well depth plane data in the vertical direction of the preset shot point.

[0145] The second determining submodule is used to determine the optimal excitation well depth of the preset shot point as a preset value when there is no corresponding optimal excitation well depth plane data in the vertical direction of the preset shot point.

[0146] It should be noted that the specific implementation of the well depth extraction device 1000 in this application embodiment refers to the specific implementation of the well depth extraction method proposed in the first aspect of the above-mentioned application embodiment, and will not be repeated here.

[0147] Thirdly, based on the same inventive concept, embodiments of this application provide an electronic device, including: a processor and a memory, wherein executable code is stored in the memory, and when the executable code is executed by the processor, the processor executes the well depth extraction method proposed in the first aspect of this application.

[0148] It should be noted that the specific implementation of the electronic device in this application refers to the specific implementation of the well depth extraction method proposed in the first aspect of the present application, and will not be repeated here.

[0149] Those skilled in the art will understand that embodiments of the present invention can be provided as methods, apparatus, or computer program products. Therefore, embodiments of the present invention can take the form of entirely hardware embodiments, entirely software embodiments, or embodiments combining software and hardware aspects. Furthermore, embodiments of the present invention can take the form of computer program products implemented on one or more computer-usable storage media (including but not limited to disk storage, CD-ROM, optical storage, etc.) containing computer-usable program code.

[0150] This invention is 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 block of the flowchart illustrations and / or block diagrams, and combinations of blocks in the flowchart illustrations and / or block diagrams, can be implemented by computer program instructions. These computer program instructions can 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, generate instructions for implementing the flowchart illustrations and / or block diagrams. Figure 1 a process or multiple processes and / or boxes Figure 1 A device that provides the functions specified in one or more boxes.

[0151] These computer program instructions may also be stored in a computer-readable storage medium that can direct a computer or other programmable data processing terminal device to operate in a particular manner, such that the instructions stored in the computer-readable storage medium produce an article of manufacture including instruction means, which are implemented in a process Figure 1 a process or multiple processes and / or boxes Figure 1 The function specified in one or more boxes.

[0152] These computer program instructions can also be loaded onto a computer or other programmable data processing terminal equipment, causing a series of operational steps to be performed on the computer or other programmable terminal equipment to produce a computer-implemented process, thereby providing instructions that execute on the computer or other programmable terminal equipment for implementing the process. Figure 1 a process or multiple processes and / or boxes Figure 1 The steps of the function specified in one or more boxes.

[0153] Although preferred embodiments of the present invention have been described, those skilled in the art, upon learning the basic inventive concept, can make other changes and modifications to these embodiments. Therefore, the appended claims are intended to be interpreted as including the preferred embodiments as well as all changes and modifications falling within the scope of the embodiments of the present invention.

[0154] Finally, it should be noted that in this document, relational terms such as "first" and "second" are used only to distinguish one entity or operation from another, and do not necessarily require or imply any such actual relationship or order between these entities or operations. Furthermore, the terms "comprising," "including," or any other variations thereof are intended to cover non-exclusive inclusion, such that a process, method, article, or terminal device that comprises a list of elements includes not only those elements but also other elements not expressly listed, or elements inherent to such a process, method, article, or terminal device. Without further limitations, an element defined by the phrase "comprising one..." does not exclude the presence of other identical elements in the process, method, article, or terminal device that includes the element.

[0155] The above provides a detailed description of the method, apparatus, and electronic device for well depth extraction provided by the present invention. Specific examples have been used to illustrate the principles and implementation methods of the present invention. The descriptions of the above embodiments are only for the purpose of helping to understand the method and core ideas of the present invention. At the same time, for those skilled in the art, there will be changes in the specific implementation methods and application scope based on the ideas of the present invention. Therefore, the content of this specification should not be construed as a limitation of the present invention.

Claims

1. A method for extracting well depth, characterized in that, The method includes: Obtain core data from several lithological coring wells within the work area; Based on the core data, a near-surface lithology model corresponding to the work area is constructed; the near-surface lithology model includes multiple lithological layers, with different lithological layers corresponding to different lithologies; Each lithological layer with the target lithology is designated as the target lithological layer, and radar point cloud data for each target lithological layer is determined; the radar point cloud data is used to characterize the optimal burial depth of the shot point in the target lithological layer. Based on the radar point cloud data corresponding to each of the target lithological layers, the optimal excitation well depth plane data of the work area is obtained; the optimal excitation well depth plane data is used to characterize the optimal excitation well depth corresponding to any location in the work area. Based on the optimal excitation well depth planar data, the optimal excitation well depth corresponding to the preset shot point in the work area is determined; Specifically, based on the radar point cloud data corresponding to each of the target lithological layers, the optimal excitation well depth plane data for the work area is obtained, including: The radar point cloud data corresponding to each of the target lithological layers are merged to obtain the target radar point cloud data. Based on the target radar point cloud data, the optimal excitation well depth plane data for the work area is obtained; Specifically, the radar point cloud data corresponding to each of the target lithological layers is merged to obtain target radar point cloud data, including: For any point on the near-surface lithology model, the following operations are performed: when only one target lithology layer's radar point cloud data exists in the vertical direction of the point, the radar point cloud data of that target lithology layer is determined as the first preferred radar point cloud data; or, when multiple target lithology layers' radar point cloud data exist in the vertical direction of the point, the second preferred radar point cloud data is determined from the radar point cloud data of the multiple target lithology layers according to a preset lithology optimization strategy. The target radar point cloud data is obtained based on the first preferred radar point cloud data and / or the second preferred radar point cloud data. Where radar point cloud data of multiple target lithological layers exist in the vertical direction of the location, a second preferred radar point cloud data is determined from the radar point cloud data of the multiple target lithological layers according to a preset lithology optimization strategy, including: The radar point cloud data of the middle part of the thickest lithological layer among the multiple target lithological layers is determined as the second preferred radar point cloud data, or the radar point cloud data of the middle part of the deepest lithological layer among the multiple target lithological layers is determined as the second preferred radar point cloud data; wherein, the radar point cloud data of the middle part of the thickest lithological layer among the multiple target lithological layers has a higher priority than the radar point cloud data of the middle part of the deepest lithological layer among the multiple target lithological layers.

2. The method for extracting well depth according to claim 1, characterized in that, Based on the core data, a near-surface lithological model corresponding to the work area is constructed, including: Based on the core data, a simulation model for each lithological core well is created; each simulation model includes multiple corresponding lithological layers. Connect the lithological layers with the same lithology in every two adjacent core well simulation models to obtain the lithological profile models corresponding to the two adjacent core well simulation models; By interpolating the lithological profile model, the near-surface lithological model corresponding to the work area is obtained.

3. The method for extracting well depth according to claim 2, characterized in that, By interpolating the lithological profile model, a near-surface lithological model corresponding to the work area is obtained, including: Obtain the boundary information of the work area, and based on the boundary information, obtain the modeling area corresponding to the work area; The modeling region is superimposed on the lithological profile model so that the modeling region covers the lithological profile model; Within the modeling area, the lithological profile model is interpolated to obtain the near-surface lithological model corresponding to the work area.

4. The method for extracting depth from a stimulating well according to claim 3, characterized in that, Within the modeling area, the lithological profile model is interpolated to obtain the near-surface lithological model corresponding to the work area, including: Within the modeling area, the lithological profile model is interpolated to obtain an initial near-surface lithological model; The ground elevation data of the work area are added to the initial near-surface lithology model to obtain the near-surface lithology model.

5. The method for extracting depth from a induced well according to claim 1, characterized in that, Based on the optimal induction well depth planar data, the optimal induction well depth corresponding to the preset shot points within the work area is determined, including: When there is corresponding optimal excitation well depth plane data in the vertical direction of the preset shot point, the optimal excitation well depth of the preset shot point is determined based on the optimal excitation well depth plane data. When there is no corresponding optimal excitation well depth plane data in the vertical direction of the preset shot point, the optimal excitation well depth of the preset shot point is determined to be a preset value.

6. A device for stimulating well depth extraction, characterized in that, The device includes: The core data acquisition module is used to acquire core data from several lithological core sampling wells within the work area; The model building module is used to construct a near-surface lithology model corresponding to the work area based on the core data; the near-surface lithology model includes multiple lithological layers, and different lithological layers correspond to different lithologies; The point cloud data determination module is used to identify each lithological layer with the target lithology as the target lithological layer and determine the radar point cloud data for each target lithological layer; the radar point cloud data is used to characterize the optimal burial depth of the shot point in the target lithological layer. The planar data acquisition module is used to obtain the optimal excitation well depth planar data of the work area based on the radar point cloud data corresponding to each of the target lithological layers; the optimal excitation well depth planar data is used to characterize the optimal excitation well depth corresponding to any location in the work area. The well depth determination module is used to determine the optimal well depth corresponding to the preset shot point in the work area based on the optimal well depth plane data. The planar data acquisition module includes: The point cloud data merging submodule is used to merge the radar point cloud data corresponding to each of the target lithological layers to obtain the target radar point cloud data. The planar data acquisition submodule is used to obtain the optimal excitation well depth planar data of the work area based on the target radar point cloud data; The point cloud data merging submodule includes: The preferred radar point cloud data determination unit is used to perform the following operations for any point on the near-surface lithology model: when there is only radar point cloud data of one target lithology layer in the vertical direction of the point, the radar point cloud data of the target lithology layer is determined as the first preferred radar point cloud data; or, when there is radar point cloud data of multiple target lithology layers in the vertical direction of the point, the second preferred radar point cloud data is determined from the radar point cloud data of the multiple target lithology layers according to a preset lithology selection strategy. The target radar point cloud data determination unit is used to obtain the target radar point cloud data based on the first preferred radar point cloud data and / or the second preferred radar point cloud data. The preferred radar point cloud data determination unit is further configured to determine the radar point cloud data of the middle part of the thickest lithological layer among the plurality of target lithological layers as the second preferred radar point cloud data, or to determine the radar point cloud data of the middle part of the deepest lithological layer among the plurality of target lithological layers as the second preferred radar point cloud data; wherein the radar point cloud data of the middle part of the thickest lithological layer among the plurality of target lithological layers has a higher priority than the radar point cloud data of the middle part of the deepest lithological layer among the plurality of target lithological layers.

7. An electronic device, characterized in that, include: A processor and a memory, wherein the memory stores executable code that, when executed by the processor, causes the processor to perform the well depth extraction method as described in any one of claims 1-5.

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