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

Abstract

This invention belongs to the field of oil and gas reservoir exploration and development technology, and discloses a multi-attribute fusion drilling trajectory tracking method. First, the well trajectory position is determined by comparing the actual drilling depth of the marker layer with the seismic structural interpretation layer depth. Seismic attributes are extracted based on the well trajectory position and seismic data. Principal component analysis is used to compress the seismic attributes. The Stoneley wave energy attenuation curve is then fused and matched with the compressed seismic attributes to obtain the multi-attribute fused drilling trajectory. Based on the multi-attribute fused drilling trajectory, it is determined whether there is a sudden geological change in the original drilling trajectory. If a sudden geological change exists, the drilling entry point position is redefined and the drilling trajectory is designed. This invention also discloses a multi-attribute fusion drilling trajectory tracking device, equipment, and storage medium. This invention is applicable to real-time adjustment of drilling trajectories in carbonate formation oil and gas reservoir exploration and development, improving drilling efficiency and reservoir encounter rate, and maximizing oil and gas exploration benefits.

Description

Technical Field

[0001] This invention belongs to the field of oil and gas reservoir exploration and development technology, and relates to a multi-attribute fusion positive drilling trajectory tracking method, device, equipment and storage medium. Background Technology

[0002] With the deepening of seismic exploration and the development of geophysical exploration technology, especially the increasing complexity and difficulty of exploration objects, oil and gas exploration has shifted from searching for structural oil and gas reservoirs to composite oil and gas reservoirs such as lithology and structural lithology. Taking the Dengying Formation carbonate strata in the Sichuan Basin as an example, the high temperature, high pressure, hydrogen sulfide and silica content, as well as the complex and diverse reservoir types, result in frequent well blockages and a high risk of well blowouts. Horizontal well drilling to track reservoirs and directional drilling are both difficult, posing a significant challenge to the implementation of horizontal wells.

[0003] Currently, seismic exploration results can be used to predict subsurface structural morphology and reservoir characteristics, but the predictive effectiveness and accuracy can only be verified through actual drilling. Therefore, in the integrated exploration model of seismic acquisition, processing, and interpretation, well location tracking analysis is a crucial component of this systematic project. Its main idea is to organically combine logging, seismic analysis, and drilling to achieve real-time monitoring of the entire drilling process.

[0004] Real-time tracking of the drilling trajectory using multi-attribute fusion refers to the comprehensive analysis of potential problems during drilling using seismic data (including stratigraphic calibration, structural modeling, reservoir inversion, model forward modeling, and variable velocity mapping) combined with well logging and geological data. This is particularly important when drilling encounters structural, formation, or reservoir anomalies. Interpreters need to quickly analyze whether the original drilling target still exists and whether the target area needs correction to avoid prolonged waiting at the drilling site and resulting economic losses. Alternatively, based on the real-time drilling situation, it can determine whether targeted processing and interpretation of the well-crossing seismic profile and adjacent seismic lines are necessary, and whether adjustments or deployments of new seismic data acquisition operations are required. Therefore, timely and accurate feedback of well-seismic information to decision-makers to take appropriate measures to accelerate oil and gas exploration is currently of paramount importance. Summary of the Invention

[0005] The purpose of this invention is to provide a multi-attribute fusion positive drilling trajectory tracking method, which obtains a multi-attribute fusion positive drilling trajectory by performing multi-attribute fusion matching between the Stoneley wave energy attenuation curve and the compressed seismic attributes, and adjusts the drilling trajectory in real time to improve drilling efficiency.

[0006] Another objective of this invention is to provide a multi-attribute fusion positive drilling trajectory tracking device, equipment, and storage medium.

[0007] To achieve the above objectives, the technical solution adopted by this invention is as follows:

[0008] A multi-attribute fusion method for tracking positive drilling trajectories includes the following steps:

[0009] S1. Combine well logging data and seismic data to obtain synthetic record calibration; use synthetic record calibration and well-through seismic profile to perform seismic structural interpretation of the structures near the well, compare the actual drilling depth of the seismic marker layer with the depth of the seismic structural interpretation layer, and determine the well trajectory location.

[0010] S2. Based on the well trajectory location, extract seismic attributes reflecting reservoir characteristics using seismic data;

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

[0012] S4. Using the Stoneley wave energy attenuation curve of the single-well logging data in the study area as the target curve, multi-attribute fusion matching is performed with the compressed seismic attributes to obtain the multi-attribute fused positive drilling trajectory.

[0013] S5. Based on the multi-attribute fusion of the positive drilling trajectory, determine whether there is a sudden geological map in the original drilling trajectory. If there is a sudden geological map, redetermine the drilling entry point 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, the calculation formula for re-determining the drilling target location in step S5 is as follows:

[0016] θ=84-0.6H

[0017] Where θ is the well inclination angle in degrees, and H is the vertical distance between the front end of the wellhead (i.e., the position of the well trajectory) and the horizontal plane in meters.

[0018] The present invention also provides a multi-attribute fusion positive drilling trajectory tracking device, comprising:

[0019] The well trajectory location determination module is used to combine well logging data and seismic data to obtain synthetic record calibration; using the synthetic record calibration, combined with the well-pass seismic profile, the well-side structure is interpreted by seismic tectonic analysis, and the well trajectory location is determined by comparing the actual drilling depth of the seismic marker layer with the depth of the seismic tectonic interpretation layer.

[0020] The seismic attribute extraction module is used to extract seismic attributes reflecting reservoir characteristics from seismic data based on well trajectory locations.

[0021] The seismic attribute compression module is used to compress the seismic attributes in step S2 using principal component analysis to obtain the compressed seismic attributes.

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

[0023] The drilling trajectory design module is used to determine whether there is a sudden geological change in the original drilling trajectory based on the fusion of multiple attributes of the positive drilling trajectory. If there is a sudden geological change, the drilling entry point position is re-determined and the drilling trajectory is designed.

[0024] The present invention also provides a computer device, the computer device including a processor and a memory, the memory being used to store at least one computer program, the at least one computer program being loaded by the processor 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 for storing at least one computer program for executing the multi-attribute fusion positive drilling trajectory tracking method.

[0026] The present invention, by adopting the above-described technical solution, achieves the following technical advancements compared to existing technologies:

[0027] (1) This invention can promptly study and address new problems that arise during actual drilling, propose solutions or measures to solve these problems, and predict new situations that may arise in the next step, thereby greatly improving drilling efficiency.

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

[0029] (3) This invention improves reservoir drilling success rate and operational efficiency, reduces operational risks, meets the needs of geological guidance under complex geological and engineering conditions in the study area, and has promotional value.

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

[0031] Figure 1 The diagram shown is a flowchart of the method in Embodiment 1 of the present invention;

[0032] Figure 2 The image shown is a trajectory diagram of the reservoir prediction profile in Embodiment 1 of the present invention;

[0033] Figure 3 The diagram shown is a block diagram of the device according to Embodiment 2 of the present invention;

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

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

[0036] To better explain and facilitate understanding of the present invention, the present invention will be described in detail below with reference to the accompanying drawings and specific embodiments.

[0037] Example 1: A Multi-Attribute Fusion Method for Tracking Positive Drilling Trajectory

[0038] like Figure 1 As shown in the figure, this embodiment is a multi-attribute fusion positive drilling trajectory tracking method, which includes the following steps:

[0039] S1. Combine well logging data and seismic data to obtain synthetic record calibration; use synthetic record calibration and well-through seismic profile to perform seismic structural interpretation of the structures near the well, compare the actual drilling depth of the seismic marker layer with the depth of the seismic structural interpretation layer, and determine the well trajectory location.

[0040] S2. Based on the well trajectory location, extract seismic attributes reflecting reservoir characteristics using seismic data;

[0041] In this step, the seismic attributes that reflect reservoir characteristics include reservoir porosity, pores, and fractures.

[0042] Among them, reservoir porosity is calculated by using a high-precision geostatistical method under multi-well constraints, taking into account the advantages of high vertical resolution of high-frequency well data and good lateral continuity of medium and low frequency seismic data to predict favorable reservoir development areas.

[0043] Pores and cracks are mainly predicted by extracting seismic attribute volumes, and calculated with reference to imaging logging, core, and gas testing data.

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

[0045] In this step, seismic attributes reflect reservoir lithology, physical properties, gas-bearing characteristics, etc. Often, multiple seismic attributes will reflect the same reservoir characteristics, which will increase the computational workload during fusion. Principal component analysis can compress multiple seismic attributes into a few seismic attributes, which can also reflect the spatial distribution characteristics of the reservoir and reduce the workload of fusion calculation.

[0046] S4. Using the Stoneley wave energy attenuation curve of the single-well logging data in the study area as the target curve, multi-attribute fusion matching is performed with the compressed seismic attributes to obtain the multi-attribute fused positive drilling trajectory.

[0047] S5. Based on the multi-attribute fusion of the positive drilling trajectory, determine whether there is a sudden geological map in the original drilling trajectory. If there is a sudden geological map, redetermine the drilling entry point and design the drilling trajectory.

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

[0049] θ=84-0.6H

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

[0051] S6. Based on the redefined drilling target location, design the drilling trajectory and analyze whether it meets geological expectations after drilling is completed.

[0052] To verify the effectiveness of this embodiment, this implementation will be applied to... Figure 2 The trajectory map of the reservoir prediction profile is used to verify... Figure 2 The drilling trajectory in the model guides the drilling direction of horizontal wells. Through practical application, this embodiment has been verified to accurately identify and predict the distribution of favorable reservoir spaces, providing a reliable basis for predicting gas reservoir development areas.

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

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

[0055] The well trajectory location determination module is used to combine well logging data and seismic data to obtain synthetic record calibration; using the synthetic record calibration, combined with the well-pass seismic profile, the well-side structure is interpreted by seismic tectonic analysis, and the well trajectory location is determined by comparing the actual drilling depth of the seismic marker layer with the depth of the seismic tectonic interpretation layer.

[0056] The seismic attribute extraction module is used to extract seismic attributes reflecting reservoir characteristics from seismic data based on well trajectory locations.

[0057] The seismic attribute compression module is used to compress the seismic attributes in step S2 using principal component analysis to obtain the compressed seismic attributes.

[0058] The multi-attribute fusion matching module is used to perform multi-attribute fusion matching with the compressed seismic attributes, using the Stoneley wave energy attenuation curve of the single-well logging data in the study area as the target curve, to obtain the multi-attribute fused positive drilling trajectory.

[0059] The drilling trajectory design module is used to determine whether there is a sudden geological change in the original drilling trajectory based on the fusion of multiple attributes of the positive drilling trajectory. If there is a sudden geological change, the drilling entry point position is re-determined and the drilling trajectory is designed.

[0060] In this embodiment, the multi-attribute fusion positive drilling trajectory tracking device is illustrated by the above-mentioned division of functional modules when performing data processing. In actual applications, the above functions can be assigned to different functional modules as needed.

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

[0062] Based on the same inventive concept, such as Figure 5 As shown, this embodiment also provides a computer-readable storage medium for storing at least one computer program for executing the multi-attribute fusion positive drilling trajectory tracking method of Embodiment 1.

[0063] It should be noted that those skilled in the art will understand that all or part of the processes in the above embodiments can be implemented by a computer program instructing related hardware. The program can be stored in a computer-readable storage medium, and when the program is executed, it can include the processes of the embodiments of the above methods.

[0064] Furthermore, it should be understood that the computer-readable storage medium (e.g., memory) described herein may be volatile memory or non-volatile memory, or may include both volatile memory and non-volatile memory.

[0065] Those skilled in the art will also understand that the various exemplary logic blocks, modules, circuits, and algorithm steps described in conjunction with the disclosure herein can be implemented as electronic hardware, computer software, or a combination of both. To clearly illustrate this interchangeability between hardware and software, the functionality of various illustrative components, blocks, modules, circuits, and steps has been generally described. Whether this functionality is implemented as software or as hardware depends on the specific application and the design constraints imposed on the system as a whole. Those skilled in the art can implement the functionality in various ways for each specific application, but such implementation decisions should not be construed as departing from the scope of the embodiments disclosed herein.

[0066] It should be noted that the above description is merely a preferred embodiment of the present invention and is not intended 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 described in the above embodiments or make equivalent substitutions for some of the technical features. Any modifications, equivalent substitutions, improvements, etc., made within the spirit and principles of the present invention should be included within the protection scope of the present invention.

Claims

1. A multi-attribute fusion method for tracking positive drilling trajectory, characterized in that, Includes the following steps: S1. Combine well logging data and seismic data to obtain synthetic record calibration; use synthetic record calibration and well-through seismic profile to perform seismic structural interpretation of the structures near the well, compare the actual drilling depth of the seismic marker layer with the depth of the seismic structural interpretation layer, and determine the well trajectory location. S2. Based on the well trajectory location, extract seismic attributes reflecting reservoir characteristics using seismic data; S3. Use principal component analysis to compress the seismic attributes in step S2 to obtain the compressed seismic attributes. S4. Using the Stoneley wave energy attenuation curve of the single-well logging data in the study area as the target curve, multi-attribute fusion matching is performed with the compressed seismic attributes to obtain the multi-attribute fused positive drilling trajectory. S5. Based on the multi-attribute fusion of the positive drilling trajectory, determine whether there is a sudden geological map in the original drilling trajectory. If there is a sudden geological map, redetermine the drilling entry point and design the drilling trajectory. In step S5, the calculation formula for re-determining the drilling target location is as follows: Where θ is the well inclination angle in degrees, and H is the vertical distance between the front end of the wellhead (i.e., the position of the well trajectory) and the horizontal plane in meters.

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

3. A multi-attribute fusion positive drilling trajectory tracking device, characterized in that, include: The well trajectory location determination module is used to combine well logging data and seismic data to obtain synthetic record calibration; By using synthetic record calibration and combining it with well-through seismic profiles to interpret the structures near the well, the actual drilling depth of the seismic marker layer is compared with the depth of the seismically interpreted layer to determine the well trajectory location. The seismic attribute extraction module is used to extract seismic attributes reflecting reservoir characteristics from seismic data based on well trajectory locations. The seismic attribute compression module is used to compress the seismic attributes in step S2 using principal component analysis to obtain the compressed seismic attributes. The multi-attribute fusion matching module is used to perform multi-attribute fusion matching with the compressed seismic attributes, using the Stoneley wave energy attenuation curve of the single-well logging data in the study area as the target curve, to obtain the multi-attribute fused positive drilling trajectory. The drilling trajectory design module is used to determine whether there is a sudden geological map in the original drilling trajectory based on the fusion of multiple attributes of the positive drilling trajectory. If there is a sudden geological map, the drilling entry point position is re-determined and the drilling trajectory is designed. The calculation formula for re-determining the drilling entry point is as follows: Where θ is the well inclination angle in degrees, and H is the vertical distance between the front end of the wellhead (i.e., the position of the well trajectory) and the horizontal plane in meters.

4. A computer device, characterized in that, The computer device includes a processor and a memory, the memory being used to store at least one computer program, the at least one computer program being loaded by the processor and executed as described in claim 1 or 2.

5. A storage medium, characterized in that, The storage medium is used to store at least one computer program, which is used to execute the multi-attribute fusion positive drilling trajectory tracking method according to any one of claims 1 or 2.

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