WO2020088389A1

WO2020088389A1 - Method and device for computer-based autonomous planning of drilling track for petroleum gas reservoir as well as storage medium

Info

Publication number: WO2020088389A1
Application number: PCT/CN2019/113598
Authority: WO
Inventors: 陈冬; 叶智慧; 王涵
Original assignee: 中国石油大学(北京)
Priority date: 2018-11-01
Filing date: 2019-10-28
Publication date: 2020-05-07
Also published as: CN109538197B; CN109538197A

Abstract

Disclosed are a method and device for computer-based autonomous planning of drilling track for petroleum gas reservoir as well as a storage medium. The method comprises: acquiring a distribution image of petroleum gas reservoir (S101); converting the distribution image into a binarized image matrix (S102); constructing an evaluation matrix according to the binarized image matrix, and determining location points of petroleum gas enrichment regions on the basis of the evaluation matrix (S103); fitting the location points of petroleum gas enrichment regions to obtain a drilling track satisfying a preset curvature requirement (S104). The device comprises a distribution image acquisition module (131), a distribution image conversion module (132), an enrichment location determining module (133) and a drilling track fitting module (134). The method can improve the automation level and precision of drilling track determination for petroleum gas reservoir.

Description

Computer independent planning method, device and storage medium for oil and gas reservoir drilling track

This application requires the priority of the Chinese patent application submitted on November 1, 2018 with the application number 201811293021.1 and the invention titled "Oil and Gas Reservoir Drilling Track Determination Method, Device and Storage Medium", the entire contents of which are incorporated by reference in this application in.

Technical field

The present application relates to the technical field of oil and gas exploitation, and in particular to a method, device and storage medium for autonomous computer planning of oil and gas reservoir drilling tracks.

Background technique

In the field of oil and gas, with the advancement of drilling technology, the number of directional wells, horizontal wells and branch wells is gradually increasing, and the design of the drilling trajectory of the wellbore is gradually becoming more complicated. At present, the design of drilling trajectories is mainly designed manually based on spatial geometric mathematical models such as circular arcs and cylindrical spirals. In some cases, this method can basically meet the requirements of conventional drilling processes. However, the efficiency of this method is low; and with the extraction of unconventional oil and gas resources, the drilling process requirements are also increasing. The accuracy of the existing method of manually determining the drilling trajectory of oil and gas reservoirs is increasingly difficult to meet the actual demand.

Summary of the invention

The purpose of the embodiments of the present application is to provide a computer autonomous planning method, device and storage medium for oil and gas reservoir drilling trajectories to improve the automation level and accuracy of determining oil and gas reservoir drilling trajectories.

To achieve the above objective, on the one hand, the embodiments of the present application provide a computer autonomous planning method for oil and gas reservoir drilling trajectories, including:

Obtaining oil and gas reservoir distribution images;

Converting the oil and gas reservoir distribution image into a binary image matrix;

Construct an evaluation matrix according to the binarized image matrix, and determine the location point of the oil and gas enrichment area based on the evaluation matrix;

Fitting the location points of the oil and gas enrichment area to obtain a drilling track that meets the preset curvature requirements.

According to the computer autonomous planning method for oil and gas reservoir drilling trajectories according to an embodiment of the present application, the determining the location point of the oil and gas enrichment area based on the evaluation matrix includes:

Determine an element in the evaluation matrix whose element value is greater than a specified threshold;

A region corresponding to an element greater than a specified threshold is determined as an oil and gas enrichment area, and a scatter plot of the location of the oil and gas enrichment area is formed.

According to the computer autonomous planning method for oil and gas reservoir drilling trajectories according to an embodiment of the present application, the fitting of the location points of the oil and gas enrichment area to obtain a drilling trajectory that meets preset curvature requirements includes:

Obtaining the drilling track by fitting the position points in the position scatter plot of the oil and gas enrichment area;

Calculating the curvature value of the drilling track, and judging whether the maximum curvature value of the drilling track is greater than a preset curvature value;

If the maximum curvature value of the drilling track is greater than the preset curvature value, the position scatter diagram of the location of the oil and gas enrichment area is removed, and the position point from the drilling track is greater than the preset distance, and after the removal, Refitting the position points in the scatter plot of the oil and gas enrichment area to obtain a new drilling track;

Repeat in turn until the maximum curvature value of the currently obtained drilling track is not greater than the preset curvature value.

The method for autonomous computer planning of oil and gas reservoir drilling trajectories according to an embodiment of the present application, before obtaining the drilling trajectory by fitting the position points in the position scatter diagram of the oil and gas enrichment area, further includes:

Removing the location points within the unfavorable strata in the scatter plot of the location of the oil and gas enrichment area;

Correspondingly, the fitting of the location points in the scatter plot of the location of the oil and gas enrichment area to obtain the drilling track includes:

Drilling trajectory is obtained by fitting the location points outside the unfavorable formation range in the scatter plot of the location of the oil and gas enrichment area.

In the method for autonomously planning an oil and gas reservoir drilling trajectory according to an embodiment of the present application, the conversion of the oil and gas reservoir distribution image into a binary image matrix includes:

Converting the oil and gas reservoir distribution image into a grayscale image; converting the grayscale image into a binary image;

Rasterize the reservoir area in the binary image to obtain a rasterized binary image;

The petroleum-containing area in the rasterized binary image is assigned a value of 1, and the non-oil and gas area in the rasterized binary image is assigned a value of 0, thereby forming a binary image matrix.

According to the computer autonomous planning method for oil and gas reservoir drilling trajectories according to an embodiment of the present application, the constructing an evaluation matrix based on the binarized image matrix includes:

Identify all elements with a value of 1 in the binary image matrix;

For each element with an element value of 1, add the element value of the element to the element value of the element in the specified range around it to obtain the drill value of the element; all element values in the binarized image matrix are 1 The encounter value of the elements forms an evaluation matrix.

In the method for autonomously planning an oil and gas reservoir drilling trajectory according to an embodiment of the present application, the specified range includes all elements adjacent to the element in the binarized image matrix.

On the other hand, the embodiments of the present application also provide a computer autonomous planning device for oil and gas reservoir drilling trajectories, including:

Distribution image acquisition module, used to obtain the distribution image of oil and gas reservoirs;

A distribution image conversion module, used to convert the oil and gas reservoir distribution image into a binary image matrix;

An enrichment position determination module, configured to construct an evaluation matrix based on the binarized image matrix, and determine the location point of the oil and gas enrichment area based on the evaluation matrix;

A drilling track fitting module is used for the location point of the oil and gas enrichment area to obtain a drilling track that meets the preset curvature requirements.

On the other hand, an embodiment of the present application also provides another computer autonomous planning device for oil and gas reservoir drilling trajectories, including a memory, a processor, and a computer program stored on the memory, the computer program is used by the processor Perform the following steps during runtime:

Obtaining oil and gas reservoir distribution images;

On the other hand, an embodiment of the present application also provides a computer storage medium on which a computer program is stored, and when the computer program is executed by a processor, the following steps are realized:

Obtaining oil and gas reservoir distribution images;

It can be seen from the above technical solutions provided by the embodiments of the present application that the embodiments of the present application can first convert the acquired oil and gas reservoir distribution image into a binary image matrix; then an evaluation matrix can be constructed based on the binary image matrix and based on the evaluation The matrix determines the location points of the oil and gas enrichment area; finally, the location points of the oil and gas enrichment area are fitted to obtain a drilling trajectory that meets the preset curvature requirements. Compared with the existing artificially designed oil and gas reservoir drilling trajectories, the scheme of the present invention for automatically determining the oil and gas reservoir drilling trajectories is extremely efficient, and the automatic determination of the oil and gas reservoir drilling trajectories can be reduced Or avoid the uncertainty of human factors, which is conducive to obtaining higher precision drilling track.

BRIEF DESCRIPTION

In order to more clearly explain the embodiments of the present application or the technical solutions in the prior art, the following will briefly introduce the drawings required in the embodiments or the description of the prior art. Obviously, the drawings in the following description are only These are some of the embodiments described in this application. For those of ordinary skill in the art, without paying any creative labor, other drawings can also be obtained based on these drawings. In the drawings:

FIG. 1 is a flowchart of a computer autonomous planning method for an oil and gas reservoir drilling track in an embodiment of the present application;

2 is a schematic diagram of an oil and gas reservoir distribution image in an embodiment of this application;

Figure 3 is a binary image converted from the distribution image of the oil and gas reservoir shown in Figure 2;

4 is a schematic diagram of the binary image shown in FIG. 3 after gridding;

FIG. 5 is a schematic diagram of the oil and gas enrichment area in the image shown in FIG. 4 determined based on the evaluation matrix;

6 is a schematic diagram of some elements in a binarized image matrix in an embodiment of this application;

7 is a schematic diagram of the calculation of the encounter value of the elements in the second row and second column of the partial elements shown in FIG. 6;

Figure 8 is a scatter plot of the location of the oil and gas enrichment area shown in Figure 5;

FIG. 9 is a fitting curve of the scattered points shown in FIG. 8;

10 is a schematic diagram of the curvature of the fitting curve shown in FIG. 8;

FIG. 11 is a fitting curve obtained after the fitting curve shown in FIG. 8 after the second fitting;

FIG. 12 is the fitting curve obtained after the fitting curve shown in FIG. 8 after three times fitting;

13 is a structural block diagram of a computer autonomous planning device for oil and gas reservoir drilling trajectories in an embodiment of the present application;

14 is a structural block diagram of a computer autonomous planning device for oil and gas reservoir drilling trajectories in another embodiment of the present application.

detailed description

In order to enable those skilled in the art to better understand the technical solutions in the present application, the technical solutions in the embodiments of the present application will be described clearly and completely in conjunction with the drawings in the embodiments of the present application. Obviously, the described The embodiments are only a part of the embodiments of the present application, but not all the embodiments. Based on the embodiments in this application, all other embodiments obtained by a person of ordinary skill in the art without creative work shall fall within the scope of protection of this application.

Referring to FIG. 1, the method for computer autonomous planning of oil and gas reservoir drilling trajectories according to an embodiment of the present application may include the following steps:

S101. Acquire oil and gas reservoir distribution images.

In an embodiment of the present application, acquiring the oil and gas reservoir distribution image may refer to reading and identifying the target area in the oil and gas reservoir distribution image.

S102. Convert the oil and gas reservoir distribution image into a binary image matrix.

In an embodiment of the present application, the conversion of the oil and gas reservoir distribution image into a binary image matrix may include the following steps:

1) Convert the oil and gas reservoir distribution image into a binary image. Specifically, the oil and gas reservoir distribution image can be converted into a grayscale image, and then the grayscale image can be converted into a binary image. For example, in an exemplary implementation, based on this method, the oil and gas reservoir distribution image shown in FIG. 2 can be converted into the binary image shown in FIG. 3 (the binary image here is represented by a monochrome monochrome image).

2) Rasterize the reservoir area in the binary image to obtain a rasterized binary image. Rasterization of the identified reservoir area can greatly reduce the amount of calculation, and there will not be much error in the accuracy of the fitted curve. In an exemplary embodiment, for example, the binary image shown in FIG. 3 is gridded to obtain the gridded image shown in FIG. 4.

3). Assign the oil-gas-bearing area in the rasterized binary image to 1, and assign the non-oil-gas area in the rasterized binary image to 0, thereby forming a binary image matrix .

S103. Construct an evaluation matrix according to the binarized image matrix, and determine the location point of the oil and gas enrichment area based on the evaluation matrix.

In an embodiment of the present application, the constructing the evaluation matrix according to the binarized image matrix may include the following steps:

1). Identify all elements with a value of 1 in the binary image matrix.

2) For each element with an element value of 1, add the element value of the element to the element value of the element in the specified range around it to obtain the drill value of the element; all elements in the binarized image matrix The drilling value of the element with value 1 forms an evaluation matrix.

In an exemplary embodiment, the specified range may include all elements adjacent to the element in the binarized image matrix. For example, in some elements in the binarized image matrix shown in FIG. 6, all elements adjacent to the elements in the second row and the second column can be as shown in FIG. 7 (see the dot-shaped fill pattern in FIG. 7 Element), by adding the value of all elements adjacent to the element in the second row and the second column and the element value of all elements adjacent to it, the drill value of the element in the second row and the second column can be obtained as: 0 + 1 + 0 + 1 + 1 + 0 + 0 + 1 = 5. Similarly, among the partial elements in the binarized image matrix shown in FIG. 6, the drilling value of the elements in row 1 and column 2 is: 0 + 1 + 1 + 0 + 1 + 1 = 4, the first The drilling value of the element in row 3 is: 1 + 1 + 1 + 1 = 4, the drilling value of the element in row 3 in column 3 is: 1 + 1 + 1 + 1 + 0 + 1 = 5, the third The encounter value of the element in row 3 is: 1 + 1 + 0 + 1 = 3.

In an embodiment of the present application, the determining the location point of the oil and gas enrichment area based on the evaluation matrix may include the following steps:

1) Determine the element in the evaluation matrix whose element value is greater than the specified threshold. After determining the element value of each element in the evaluation matrix, by comparing the element value with the specified threshold, the element in the evaluation matrix whose element value is greater than the specified threshold can be determined. Among them, the specified threshold can be set according to specific circumstances.

2) Determine the area corresponding to the element greater than the specified threshold as the oil and gas enrichment area, and form a scatter plot of the position of the oil and gas enrichment area. Since in the binarized image matrix, 1 represents oil-gas-bearing areas, 0 represents non-oil-gas areas; therefore, if a oil-gas-bearing area is also surrounded by or almost all oil-gas-bearing areas, this indicates that this part of the area is The richness of oil and gas is higher, and the higher the richness of oil and gas, the higher the value of its exploitation. Therefore, in the evaluation matrix, the areas corresponding to elements with element values greater than the specified threshold are all oil and gas enrichment areas, and the areas with element values not greater than the specified threshold, although also containing oil and gas, are not dispersed because of their excessively distributed reservoirs. With mining value.

In an exemplary embodiment, for example, the gridded image shown in FIG. 4 can obtain the schematic diagram of the oil and gas enrichment area shown in FIG. 5 after evaluating the oil and gas enrichment area based on the evaluation matrix. After performing the scatter processing on the schematic diagram of the oil and gas enrichment area shown in FIG. 5, the position scatter diagram of the oil and gas enrichment area shown in FIG. 8 can be obtained, so that curve fitting processing can be performed later.

S104. Fit the location points of the oil and gas enrichment area to obtain a drilling track that meets a preset curvature requirement.

In an embodiment of the present application, the fitting of the location points of the oil and gas enrichment area to obtain a drilling track that meets the preset curvature requirements may include the following steps:

1) Fitting the position points in the position scatter plot of the oil and gas enrichment area to obtain a drilling track.

In an embodiment of the present application, any existing suitable curve fitting method may be used to fit the drilling trajectory. For example, in an exemplary embodiment, the drilling trajectory may be fitted based on a polynomial function.

In another embodiment of the present application, before fitting the position points in the scatter plot of the oil and gas enrichment area to obtain the drilling trajectory, the position of the scatter plot in the oil and gas enrichment area may also be removed. Location points within range to reduce risk. Wherein, the unfavorable strata may include, for example, aquifers, high-risk strata that are easy to collapse and easy to seep, and the location range covered by these unfavorable strata may be determined in advance according to exploration data. In this embodiment, the track fitted subsequently cannot also pass through the unfavorable stratum.

Correspondingly, after removing the position points within the unfavorable formation range in the position scatter diagram of the oil and gas enrichment area, the fitting of the position points in the position scatter diagram of the oil and gas enrichment area to obtain the drilling track can The method is to obtain a drilling trajectory by fitting a position point outside the unfavorable formation range in the position scatter diagram of the oil and gas enrichment area.

2). Calculate the curvature value of the drilling track, and determine whether the maximum curvature value of the drilling track is greater than a preset curvature value.

In the embodiment of the present application, the curvature of the drilling track is also referred to as the wellbore curvature. In drilling operations (especially horizontal drilling and drilling operations), considering the general use of inverted drill tools, the drill pipe must withstand compression and bending loads in the curved borehole. When it is drilled in a rotating manner, the stress exhibits an asymmetric cyclic alternating characteristic. In this case, the fatigue failure of the drill pipe forms one of the important limiting conditions for the borehole curvature. To this end, a maximum allowable borehole curvature needs to be determined, and the maximum allowable borehole curvature is the preset curvature value described above.

3) If the maximum curvature value of the drilling track is greater than the preset curvature value, the position scatter diagram of the location of the oil and gas enrichment area that is greater than the preset distance from the drilling track (these The point may also be called an abnormal location point), and after being eliminated, a new drilling trajectory may be obtained by refitting the location point in the scatter plot of the location of the oil and gas enrichment area.

4). Recursively, until the maximum curvature value of the currently obtained drilling track is not greater than the preset curvature value.

For example, in an exemplary embodiment, the drilling trajectory curve shown in FIG. 9 can be fitted based on the position scatter point shown in FIG. 8. Through calculation, the curvature values of various points in the drilling track curve can be obtained, for example, as shown in FIG. 10. By comparing with the preset curvature value, it is found that the maximum curvature value of the drilling track curve is greater than the preset curvature value. Therefore, the drilling track curve does not meet the curvature limit requirement and needs to be re-fitted. Before refitting, it is necessary to further remove the abnormal location points from the current scattered points of the remaining oil and gas enrichment areas, and after the removal, refit the new drilling track. After the second fitting, the example can be obtained. The fitting curve shown in 11. Then, it is judged whether the maximum curvature value of the fitting curve is greater than the preset curvature value; if it is greater, the fitting can be performed again. After three times of fitting, a fitting curve such as that shown in FIG. 12 can be obtained. Therefore, based on the above method, a drilling track curve that meets the curvature limit requirements can always be obtained by one or more fittings.

It can be seen that the embodiments of the present application can first convert the acquired oil and gas reservoir distribution image into a binary image matrix; then an evaluation matrix can be constructed based on the binary image matrix, and the location point of the oil and gas enrichment area can be determined based on the evaluation matrix ; Finally, fit the location points of the oil and gas enrichment area, so as to obtain a drilling track that meets the preset curvature requirements. Compared with the existing artificially designed oil and gas reservoir drilling trajectories, the scheme of the present invention for automatically determining the oil and gas reservoir drilling trajectories is extremely efficient, and the automatic determination of the oil and gas reservoir drilling trajectories can be reduced Or avoid the uncertainty of human factors, which is conducive to obtaining higher precision drilling track. Subsequent actual drilling operations based on the determined drilling trajectory may be beneficial to obtain a drilling trajectory that penetrates the oil and gas-rich region to the greatest extent and meets the curvature requirements.

As shown in FIG. 13, a computer autonomous planning device for oil and gas reservoir drilling trajectories according to an embodiment of the present application may include a distribution image acquisition module 131, a distribution image conversion module 132, an enrichment position determination module 133, and a drilling track fitting module 134. among them,

The distribution image acquisition module 131 can be used to obtain an oil and gas reservoir distribution image;

The distribution image conversion module 132 may be used to convert the oil and gas reservoir distribution image into a binary image matrix;

The enrichment position determination module 133 may be used to construct an evaluation matrix based on the binarized image matrix, and determine the location point of the oil and gas enrichment area based on the evaluation matrix;

The drilling track fitting module 134 may be used for the location points of the oil and gas enrichment area to obtain a drilling track that meets a preset curvature requirement.

Referring to FIG. 14, another autonomous computer planning device for oil and gas reservoir drilling trajectories according to an embodiment of the present application includes a memory, a processor, and a computer program stored on the memory. The computer program is used by the processor Perform the following steps during runtime:

Obtaining oil and gas reservoir distribution images;

Although the process flow described above includes multiple operations occurring in a specific order, it should be clearly understood that these processes may include more or fewer operations, which may be performed sequentially or in parallel (for example, using a parallel processor or Multi-threaded environment).

For the convenience of description, when describing the above device, the functions are divided into various units and described separately. Of course, when implementing this application, the functions of each unit may be implemented in one or more software and / or hardware.

The present invention is described with reference to flowcharts and / or block diagrams of methods, devices (systems), and computer program products according to embodiments of the present invention. It should be understood that each flow and / or block in the flowchart and / or block diagram and a combination of the flow and / or block in the flowchart and / or block diagram may be implemented by computer program instructions. These computer program instructions can be provided to the processor of a general-purpose computer, special-purpose computer, embedded processing machine, or other programmable data processing device to produce a machine that enables the generation of instructions executed by the processor of the computer or other programmable data processing device An apparatus for realizing the functions specified in one block or multiple blocks of one flow or multiple flows of a flowchart and / or one block or multiple blocks of a block diagram.

These computer program instructions may also be stored in a computer-readable memory that can guide a computer or other programmable data processing device to work in a specific manner, so that the instructions stored in the computer-readable memory produce an article of manufacture including an instruction device, the instructions The device implements the functions specified in one block or multiple blocks of the flowchart one flow or multiple flows and / or block diagrams.

These computer program instructions can also be loaded onto a computer or other programmable data processing device, so that a series of operating steps are performed on the computer or other programmable device to produce computer-implemented processing, which is executed on the computer or other programmable device The instructions provide steps for implementing the functions specified in one block or multiple blocks of the flowchart one flow or multiple flows and / or block diagrams.

In a typical configuration, the computing device includes one or more processors (CPUs), input / output interfaces, network interfaces, and memory.

The memory may include non-permanent memory, random access memory (RAM) and / or non-volatile memory in computer-readable media, such as read only memory (ROM) or flash memory (flash RAM). Memory is an example of computer-readable media.

Computer-readable media, including permanent and non-permanent, removable and non-removable media, can store information by any method or technology. The information may be computer readable instructions, data structures, modules of programs, or other data. Examples of computer storage media include, but are not limited to, phase change memory (PRAM), static random access memory (SRAM), dynamic random access memory (DRAM), other types of random access memory (RAM), read-only memory (ROM), electrically erasable programmable read-only memory (EEPROM), flash memory or other memory technologies, read-only compact disc read-only memory (CD-ROM), digital versatile disc (DVD) or other optical storage, Magnetic tape cassettes, magnetic tape magnetic disk storage or other magnetic storage devices or any other non-transmission media can be used to store information that can be accessed by computing devices. As defined in this article, computer-readable media does not include temporary computer-readable media (transitory media), such as modulated data signals and carrier waves.

It should also be noted that the terms "include", "include" or any other variants thereof are intended to cover non-exclusive inclusion, so that a process, method, or device that includes a series of elements includes not only those elements, but also no Other elements explicitly listed, or include elements inherent to this process, method, or equipment. Without more restrictions, the element defined by the sentence "include one ..." does not exclude that there are other identical elements in the process, method, or equipment that includes the element.

Those skilled in the art should understand that the embodiments of the present application may be provided as methods, systems, or computer program products. Therefore, the present application may take the form of an entirely hardware embodiment, an entirely software embodiment, or an embodiment combining software and hardware. Moreover, the present application may take the form of a computer program product 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.

The present application can be described in the general context of computer-executable instructions executed by a computer, such as program modules. Generally, program modules include routines, programs, objects, components, data structures, etc. that perform specific tasks or implement specific abstract data types. The present application may also be practiced in distributed computing environments in which tasks are performed by remote processing devices connected through a communication network. In a distributed computing environment, program modules may be located in local and remote computer storage media including storage devices.

The embodiments in this specification are described in a progressive manner. The same or similar parts between the embodiments can be referred to each other. Each embodiment focuses on the differences from other embodiments. In particular, for the system embodiment, since it is basically similar to the method embodiment, the description is relatively simple, and the relevant part can be referred to the description of the method embodiment.

The above are only examples of the present application, and are not intended to limit the present application. For those skilled in the art, the present application may have various modifications and changes. Any modification, equivalent replacement, improvement, etc. made within the spirit and principle of this application shall be included in the scope of the claims of this application.

Claims

A computer-aided planning method for oil and gas reservoir drilling trajectories is characterized by:

Obtaining oil and gas reservoir distribution images;

Converting the oil and gas reservoir distribution image into a binary image matrix;

Construct an evaluation matrix according to the binarized image matrix, and determine the location point of the oil and gas enrichment area based on the evaluation matrix;

Fitting the location points of the oil and gas enrichment area to obtain a drilling track that meets the preset curvature requirements.
The computer autonomous planning method for oil and gas reservoir drilling trajectories according to claim 1, wherein the determining the location point of the oil and gas enrichment area based on the evaluation matrix includes:

Determine an element in the evaluation matrix whose element value is greater than a specified threshold;

A region corresponding to an element greater than a specified threshold is determined as an oil and gas enrichment area, and a scatter plot of the location of the oil and gas enrichment area is formed.
The method for autonomous computer planning of oil and gas reservoir drilling trajectories according to claim 2, wherein the fitting of the location points of the oil and gas enrichment area to obtain a drilling trajectory satisfying a preset curvature requirement includes:

Obtaining the drilling track by fitting the position points in the position scatter plot of the oil and gas enrichment area;

Calculating the curvature value of the drilling track, and judging whether the maximum curvature value of the drilling track is greater than a preset curvature value;

If the maximum curvature value of the drilling track is greater than the preset curvature value, the position scatter diagram of the location of the oil and gas enrichment area is removed, and the position point from the drilling track is greater than the preset distance, and after the removal, Refitting the position points in the scatter plot of the oil and gas enrichment area to obtain a new drilling track;

Repeat in turn until the maximum curvature value of the currently obtained drilling track is not greater than the preset curvature value.
The computer autonomous planning method for oil and gas reservoir drilling trajectories according to claim 3, wherein before obtaining the drilling trajectory by fitting the position points in the position scatter plot of the oil and gas enrichment area, the method further comprises:

Removing the location points within the unfavorable strata in the scatter plot of the location of the oil and gas enrichment area;

Correspondingly, the fitting of the location points in the scatter plot of the location of the oil and gas enrichment area to obtain the drilling track includes:

Drilling trajectory is obtained by fitting the location points outside the unfavorable formation range in the scatter plot of the location of the oil and gas enrichment area.
The computer autonomous planning method for oil and gas reservoir drilling trajectories according to claim 1, wherein the conversion of the oil and gas reservoir distribution image into a binary image matrix includes:

Converting the oil and gas reservoir distribution image into a grayscale image;

Convert the grayscale image into a binary image;

Rasterize the reservoir area in the binary image to obtain a rasterized binary image;

The petroleum-containing area in the rasterized binary image is assigned a value of 1, and the non-oil and gas area in the rasterized binary image is assigned a value of 0, thereby forming a binary image matrix.
The computer autonomous planning method for oil and gas reservoir drilling trajectories according to claim 1, wherein the constructing an evaluation matrix based on the binarized image matrix includes:

Identify all elements with a value of 1 in the binary image matrix;

For each element with an element value of 1, add the element value of the element to the element value of the element in the specified range around it to obtain the drill value of the element; all element values in the binarized image matrix are 1 The encounter value of the elements forms an evaluation matrix.
The computer autonomous planning method for oil and gas reservoir drilling trajectories according to claim 6, wherein the specified range includes all elements adjacent to the element in the binarized image matrix.
A computer autonomous planning device for oil and gas reservoir drilling trajectories is characterized by comprising:

Distribution image acquisition module, used to obtain the distribution image of oil and gas reservoirs;

A distribution image conversion module, used to convert the oil and gas reservoir distribution image into a binary image matrix;

An enrichment position determination module, configured to construct an evaluation matrix based on the binarized image matrix, and determine the location point of the oil and gas enrichment area based on the evaluation matrix;

A drilling track fitting module is used for the location point of the oil and gas enrichment area to obtain a drilling track that meets the preset curvature requirements.
A computer autonomous planning device for oil and gas reservoir drilling trajectories, including a memory, a processor, and a computer program stored on the memory, characterized in that, when the computer program is run by the processor, the following steps are performed:

Obtaining oil and gas reservoir distribution images;

Converting the oil and gas reservoir distribution image into a binary image matrix;

Construct an evaluation matrix according to the binarized image matrix, and determine the location point of the oil and gas enrichment area based on the evaluation matrix;

Fitting the location points of the oil and gas enrichment area to obtain a drilling track that meets the preset curvature requirements.
A computer storage medium on which a computer program is stored, characterized in that when the computer program is executed by a processor, the following steps are realized:

Obtaining oil and gas reservoir distribution images;

Converting the oil and gas reservoir distribution image into a binary image matrix;

Construct an evaluation matrix according to the binarized image matrix, and determine the location point of the oil and gas enrichment area based on the evaluation matrix;

Fitting the location points of the oil and gas enrichment area to obtain a drilling track that meets the preset curvature requirements.