Multi-attribute fusion drilling well trajectory tracking method, device and equipment and storage medium

Through multi-attribute fusion matching technology, the drilling trajectory is adjusted in real time, which solves the problem of difficult to track reservoir characteristics and structural changes in drilling process under complex geological conditions, improves drilling efficiency and reservoir drilling rate, and reduces risks and losses.

CN120214928AActive Publication Date: 2025-06-27CHINA NAT PETROLEUM CORP +1
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Patent Information

Application Number
CN202311820025.1
Authority / Receiving Office
CN · China
Patent Type
Applications(China)
Current Assignee / Owner
Filing Date
2023-12-27
Publication Date
2025-06-27
Estimated Expiration
2043-12-27

AI Technical Summary

Technical Problem

Under complex geological conditions, it is difficult to track reservoir characteristics and structural changes in real time during drilling, resulting in the drilling trajectory deviating from the target, increasing the risk of blowout and economic losses.

Method used

By fusion and matching the Stonelift energy decay curve with the compressed seismic properties, the drilling trajectory is adjusted in real time to ensure the accuracy and efficiency of the drilling process.

Benefits of technology

Real-time tracking of reservoir characteristics and structural changes is achieved, drilling efficiency and reservoir drilling rate are improved, and blowout risks and economic losses are reduced.

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Abstract

The invention belongs to the technical field of exploration and development of oil and gas reservoirs, and discloses a multi-attribute fusion drilling well trajectory tracking method, which comprises the following steps: firstly, comparing the real drilling depth of a marker bed with the depth of a seismic structure interpretation horizon to determine a well trajectory position, extracting seismic attributes according to the well trajectory position and seismic data, and compressing the seismic attributes by using a principal component analysis method; performing multi-attribute fusion matching on the stoneley wave energy attenuation curve and the compressed seismic attributes to obtain a multi-attribute fusion drilling trajectory; according to the multi-attribute fusion drilling trajectory, judging whether an abrupt geological map exists in the original drilling trajectory or not, and if the abrupt geological map exists, re-determining the position of the drilling target-entering point and designing the drilling trajectory; the invention further discloses a multi-attribute fusion drilling well trajectory tracking device and equipment and a storage medium. The method is suitable for adjusting the drilling track in real time in carbonate stratum oil and gas reservoir exploration and development, the drilling efficiency and the reservoir drilling rate are improved, and oil and gas exploration benefits are improved to the maximum extent.
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Description

Technical Field

[0001] The present invention belongs to the technical field of oil and gas reservoir exploration and development, and relates to a multi-attribute fusion method, device, equipment and storage medium for tracking the trajectory of a drilling well in progress. Background Art

[0002] With the deepening of seismic exploration and the development of geophysical exploration technology, especially the increasing complexity and difficulty of exploration targets, oil and gas exploration has developed from the original search for structural oil and gas reservoirs to lithologic and structural-lithologic composite oil and gas reservoirs. Taking the carbonate strata of the Dengying Formation in the Sichuan Basin as an example, there are high temperature, high pressure, hydrogen sulfide and silica content, and a complex variety of reservoir types. Lost circulation frequently occurs during drilling, and the risk of well blowout is relatively high. It is difficult to track the reservoir and orient the horizontal well during drilling, which poses a great challenge to the implementation of horizontal wells.

[0003] At present, the results of seismic exploration can be used to predict the underground structural morphology and reservoir characteristics, but their prediction effects and accuracies can only be verified by actual drilling. Therefore, in the integrated exploration mode of seismic exploration acquisition, processing and interpretation, well position tracking analysis is an important part of this systematic project. The main idea is to organically combine logging, seismic and drilling, and conduct real-time monitoring of the entire drilling process.

[0004] The real-time tracking of the trajectory of a drilling well in progress with multi-attribute fusion refers to using seismic data (including horizon calibration, structural modeling, reservoir inversion, model forward modeling and variable velocity mapping, etc.) and combining logging and geological data to comprehensively analyze the possible problems during the drilling process. Especially after encountering abnormal situations in the structure, formation and reservoir during drilling, it is necessary for interpreters to quickly analyze whether the original drilling target exists and whether the drilling target area needs to be corrected, so as to avoid long waiting at the drilling site and causing economic losses; or according to the real-time situation of drilling, select whether to conduct targeted target processing and interpretation on the seismic profile passing through the well and adjacent survey lines, and confirm whether it is necessary to adjust or deploy new seismic data acquisition operations. Therefore, it is particularly important to timely and accurately feedback well-seismic information to decision-makers and take corresponding measures to accelerate the oil and gas exploration process at present. Summary of the Invention

[0005] The purpose of the present invention is to provide a multi-attribute fusion method for tracking the trajectory of a drilling well in progress. By performing multi-attribute fusion matching on the Stoneley wave energy attenuation curve and the compressed seismic attributes, a multi-attribute fusion trajectory of the drilling well in progress is obtained, and the drilling trajectory is adjusted in real time to improve the drilling efficiency;

[0006] Another purpose of the present invention is to provide a multi-attribute fusion device, equipment and storage medium for tracking the trajectory of a drilling well in progress.

[0007] The technical solutions adopted by the present invention to achieve the above purposes are as follows:

[0008] A multi-attribute fusion method for tracking the trajectory of a drilling well in progress, comprising the following steps:

[0009] S1. Combine logging data and seismic data to obtain synthetic record calibration; use the synthetic record calibration, combine the cross-well seismic profile to conduct seismic structure interpretation on the structure beside the well, compare the actual drilling depth of the seismic marker bed with the depth of the seismic structure interpretation horizon, and determine the well trajectory position;

[0010] S2. According to the well trajectory position, use seismic data to extract seismic attributes reflecting reservoir characteristics;

[0011] S3. Use principal component analysis technology to compress the seismic attributes in step S2 to obtain compressed seismic attributes;

[0012] S4. Take the Stoneley wave energy attenuation curve of the single-well logging data in the study area as the target curve, conduct multi-attribute fusion matching with the compressed seismic attributes to obtain a multi-attribute fusion well trajectory in progress;

[0013] S5. According to the multi-attribute fusion well trajectory in progress, judge whether there is a sudden change in the geological map of the originally planned drilling trajectory. If there is a sudden change in the geological map, re-determine the drilling entry point position and design the drilling trajectory.

[0014] As a limitation, in step S2, the seismic attributes reflecting reservoir characteristics include reservoir porosity, pores and fractures.

[0015] As a second limitation, in step S5, the calculation formula when re-determining the drilling entry point position is:

[0016] θ = 84 - 0.6H

[0017] Where θ is the well deviation angle, in degrees, and H is the vertical distance between the wellhead, that is, the front end of the well trajectory position, and the horizontal plane, in meters.

[0018] The present invention also provides a multi-attribute fusion device for tracking the trajectory of a drilling well in progress, comprising:

[0019] A well trajectory position determination module, configured to combine logging data and seismic data to obtain synthetic record calibration; use the synthetic record calibration, combine the cross-well seismic profile to conduct seismic structure interpretation on the structure beside the well, compare the actual drilling depth of the seismic marker bed with the depth of the seismic structure interpretation horizon, and determine the well trajectory position;

[0020] A seismic attribute extraction module, configured to extract seismic attributes reflecting reservoir characteristics from seismic data according to the well trajectory position;

[0021] A seismic attribute compression module, configured to use principal component analysis technology to compress the seismic attributes in step S2 to obtain compressed seismic attributes;

[0022] The multi-attribute fusion matching module is used to take the Stoneley wave energy attenuation curve of the single-well logging data in the study area as the target curve, perform multi-attribute fusion matching with the compressed seismic attributes, and obtain the multi-attribute fusion positive drilling trajectory;

[0023] The drilling trajectory design module is used to judge whether there is a mutation geological map in the original drilling trajectory according to the multi-attribute fusion positive drilling trajectory. If there is a mutation geological map, the drilling entry point position is re-determined and the drilling trajectory is designed.

[0024] The present invention also provides a computer device, which includes a processor and a memory. The memory is used to store at least one segment of computer program, and the at least one segment of computer program is loaded and executed by the processor to perform the multi-attribute fusion positive drilling trajectory tracking method.

[0025] The present invention also provides a storage medium, which is used to store at least one segment of computer program, and the at least one segment of computer program is used to execute the multi-attribute fusion positive drilling trajectory tracking method.

[0026] Due to the adoption of the above technical solutions, compared with the prior art, the technical progress achieved by the present invention is as follows:

[0027] (1) The present invention can timely study and handle new problems occurring in the actual drilling process, propose solutions or measures to solve the problems, and predict new situations that may occur next, greatly improving the working efficiency of drilling;

[0028] (2) The present invention can effectively predict the drilling trajectories of different lithologies and different depths in the study area, effectively guiding the drilling process;

[0029] (3) The present invention improves the reservoir encounter rate and operation efficiency, reduces the operation risk, meets the needs of geosteering under complex geological and engineering conditions in the study area, and has popularization value.

[0030] In summary, the present invention is applicable to real-time adjustment of drilling trajectories in the exploration and development of carbonate formation oil and gas reservoirs, improving drilling efficiency and reservoir encounter rate, and maximizing oil and gas exploration benefits. Description of the Drawings

[0031] Figure 1 The following shows the method flow chart of Embodiment 1 of the present invention;

[0032] Figure 2 The following shows the trajectory map of the reservoir prediction profile of Embodiment 1 of the present invention;

[0033] Figure 3 The following shows the device block diagram of Embodiment 2 of the present invention;

[0034] Figure 4 The following is a schematic structural diagram of the computer device according to Embodiment 2 of the present invention;

[0035] Figure 5 The following is a schematic structural diagram of the computer storage medium according to Embodiment 2 of the present invention. Detailed implementation manners

[0036] To better explain the present invention for easy understanding, the present invention will be described in detail below with reference to the accompanying drawings through specific implementation manners.

[0037] Embodiment 1 A multi-attribute fusion method for tracking the trajectory of a drilling well

[0038] As Figure 1 shown, this embodiment is a multi-attribute fusion method for tracking the trajectory of a drilling well, including the following steps:

[0039] S1. Combine well logging data and seismic data to obtain synthetic record calibration; use the synthetic record calibration, combine the seismic profile passing through the well to conduct seismic structural interpretation of the structure beside the well, compare the actual drilling depth of the seismic marker bed with the depth of the seismic structural interpretation horizon, and determine the well trajectory position;

[0040] S2. According to the well trajectory position, use seismic data to extract seismic attributes reflecting reservoir characteristics;

[0041] In this step, the seismic attributes reflecting reservoir characteristics include reservoir porosity, holes and fractures.

[0042] Among them, the reservoir porosity is calculated by using a high-precision geostatistical method under multi-well constraints, integrating the advantages of high vertical resolution of high-frequency well data and good horizontal continuity of medium-low frequency seismic data to predict the favorable area for reservoir development;

[0043] For holes and fractures, it is mainly predicted by extracting seismic attribute volumes and calculated with reference to imaging logging, core, and gas testing data for constraint;

[0044] S3. Use principal component analysis technology to compress the seismic attributes in step S2 to obtain the compressed seismic attributes;

[0045] In this step, the seismic attributes respectively reflect the characteristics of reservoir lithology, physical properties, gas-bearing properties, etc. Often, multiple seismic attributes will reflect the same reservoir characteristic, which will lead to an increase in the calculation amount during fusion. Through principal component analysis technology, multiple seismic attributes can be compressed into several seismic attributes, which can also reflect the spatial distribution characteristics of the reservoir and reduce the workload during fusion calculation;

[0046] S4. Take the Stoneley wave energy attenuation curve of the single-well logging data in the study area as the target curve, and perform multi-attribute fusion matching with the compressed seismic attributes to obtain the multi-attribute fusion drilling well trajectory;

[0047] S5. Based on the multi-attribute fusion of the current drilling trajectory, determine whether there is a mutant geological map in the original drilling trajectory. If there is a mutant geological map, re-determine the drilling entry target point position and design the drilling trajectory;

[0048] In this step, through actual drilling analysis, on the premise of a build-up rate of 5° / 30m, the calculation formula for re-determining the drilling entry target point position is:

[0049] θ = 84 - 0.6H

[0050] where θ is the well inclination angle in degrees, and H is the vertical distance from the front end of the wellhead, i.e., the well trajectory position, to the horizontal plane in meters;

[0051] S6. Analyze whether the drilling trajectory designed according to the re-determined drilling entry target point position meets the geological expectations after drilling.

[0052] To verify the effect of this embodiment, apply this implementation to Figure 2 the trajectory map of the reservoir prediction profile of Figure 2 Verify the drilling trajectory in

[0053] Example 2 A multi-attribute fusion positive drilling trajectory tracking device, medium and storage medium

[0054] As Figure 3 shown, this embodiment provides a multi-attribute fusion positive drilling trajectory tracking device, including:

[0055] A well trajectory position determination module, configured to combine well logging data and seismic data to obtain synthetic record calibration; use the synthetic record calibration, combine the cross-well seismic profile to perform seismic structure interpretation on the well-side structure, and compare the actual drilling depth of the seismic marker layer with the depth of the seismic structure interpretation horizon to determine the well trajectory position;

[0056] A seismic attribute extraction module, configured to extract seismic attributes reflecting reservoir characteristics from seismic data according to the well trajectory position;

[0057] A seismic attribute compression module, configured to compress the seismic attributes in step S2 using principal component analysis technology to obtain the compressed seismic attributes;

[0058] A multi-attribute fusion matching module, configured to use the Stoneley wave energy attenuation curve of the single-well well logging data in the study area as the target curve, perform multi-attribute fusion matching with the compressed seismic attributes to obtain the multi-attribute fusion positive drilling trajectory;

[0059] The drilling trajectory design module is used to judge whether there is a mutant geological map in the originally scheduled drilling trajectory according to the multi-attribute fusion of the current drilling trajectory. If there is a mutant geological map, the drilling entry target point position is re-determined and the drilling trajectory is designed.

[0060] Among them, when the multi-attribute fusion current drilling trajectory tracking device provided in this embodiment performs data processing, only the division of the above-mentioned functional modules is used for illustration. In practical applications, the above functions can be allocated to different functional modules according to needs.

[0061] Based on the same inventive concept, as Figure 4 shown, this embodiment also provides a computer device, including: at least a processor and a memory. The memory is used to store at least one segment of computer program, and at least one segment of computer program is loaded and executed by the processor to implement the multi-attribute fusion current drilling trajectory tracking method of Embodiment 1.

[0062] Based on the same inventive concept, as Figure 5 shown, this embodiment also provides a computer-readable storage medium. The storage medium is used to store at least one segment of computer program, and at least one segment of computer program is used to execute the multi-attribute fusion current drilling trajectory tracking method of Embodiment 1.

[0063] It should be noted that those of ordinary skill in the art can understand that all or part of the processes in the methods of the above embodiments can be completed by instructing relevant hardware through a computer program. The program can be stored in a computer-readable storage medium. When the program is executed, it can include the processes of the embodiments of the above methods.

[0064] In addition, it should be understood that the computer-readable storage medium herein (for example, the memory) can be a volatile memory or a non-volatile memory, or can include both a volatile memory and a non-volatile memory.

[0065] Those skilled in the art will also understand that the various exemplary logical blocks, modules, circuits, and algorithm steps described in connection with the disclosure herein can be implemented as electronic hardware, computer software, or a combination of both. To clearly illustrate this interchangeability of hardware and software, a general description has been given of the functions of various illustrative components, blocks, modules, circuits, and steps. Whether this function is implemented as software or as hardware depends on the specific application and the design constraints imposed on the overall system. The functions that those skilled in the art can implement in various ways for each specific application, but this implementation decision should not be construed as causing a departure from the scope of the disclosure of the embodiments of the present invention.

[0066] It should be noted that the above are only preferred embodiments of the present invention and are not used to limit the present invention. Although the present invention has been described in detail with reference to the above embodiments, those skilled in the art can still modify the technical solutions recorded in the above embodiments or perform equivalent replacements on some of the technical features. Any modifications, equivalent replacements, improvements, etc. made within the spirit and principle of the present invention shall be included within the protection scope of the present invention.

Claims

1. A multi-attribute fusion method for tracking the trajectory of a drilling well in progress, characterized in that Including the following steps: S1. Combine logging data and seismic data to obtain synthetic seismogram calibration; use the synthetic seismogram calibration, combine the cross-well seismic profile to conduct seismic structure interpretation on the structure beside the well, compare the actual drilling depth of the seismic marker bed with the depth of the seismic structure interpretation horizon, and determine the well trajectory position; S2. According to the well trajectory position, use seismic data to extract seismic attributes reflecting reservoir characteristics; S3. Use principal component analysis technology to compress the seismic attributes in step S2 to obtain the compressed seismic attributes; S4. Take the Stoneley wave energy attenuation curve of the single-well logging data in the study area as the target curve, conduct multi-attribute fusion matching with the compressed seismic attributes to obtain the multi-attribute fusion positive drilling well trajectory; S5. According to the multi-attribute fusion positive drilling well trajectory, judge whether there is a mutant geological map in the original drilling well trajectory. If there is a mutant geological map, re-determine the drilling entry point position and design the drilling well trajectory.

2. The multi-attribute fusion positive drilling trajectory tracking method according to claim 1, wherein In step S2, the seismic attributes reflecting reservoir characteristics include reservoir porosity, pores and fractures.

3. The multi-attribute fusion positive drilling trajectory tracking method according to claim 1, characterized in that In step S5, the calculation formula for re-determining the drilling entry point position is: θ = 84 - 0.6H where θ is the well deviation angle in degrees, and H is the vertical distance between the well head, i.e., the front end of the well trajectory position, and the horizontal plane in meters.

4. A multi-attribute fusion device for tracking the trajectory of a drilling well in progress, characterized in that, Including: A well trajectory position determination module, configured to combine logging data and seismic data to obtain synthetic seismogram calibration; Use the synthetic seismogram calibration, combine the cross-well seismic profile to conduct seismic structure interpretation on the structure beside the well, compare the actual drilling depth of the seismic marker bed with the depth of the seismic structure interpretation horizon, and determine the well trajectory position; A seismic attribute extraction module, configured to extract seismic attributes reflecting reservoir characteristics from seismic data according to the well trajectory position; A seismic attribute compression module, configured to use principal component analysis technology to compress the seismic attributes in step S2 to obtain the compressed seismic attributes; A multi-attribute fusion matching module, configured to take the Stoneley wave energy attenuation curve of the single-well logging data in the study area as the target curve, conduct multi-attribute fusion matching with the compressed seismic attributes to obtain the multi-attribute fusion positive drilling well trajectory; A drilling well trajectory design module, configured to judge whether there is a mutant geological map in the original drilling well trajectory according to the multi-attribute fusion positive drilling well trajectory. If there is a mutant geological map, re-determine the drilling entry point position and design the drilling well trajectory.

5. A computer device, characterized in that, The computer device includes a processor and a memory. The memory is used to store at least one segment of computer program, and the at least one segment of computer program is loaded and executed by the processor to perform the multi-attribute fusion positive drilling well trajectory tracking method according to any one of claims 1 to 3.

6. A storage medium, characterized in that, The storage medium is used to store at least one segment of computer program, and the at least one segment of computer program is used to perform the multi-attribute fusion positive drilling well trajectory tracking method according to any one of claims 1 to 3.

Citation Information

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