Method and device for vectorization interpretation of seismic data picture and medium

Abstract

The invention belongs to the technical field of seismic data interpretation, and particularly discloses a seismic data picture vectorization interpretation method and device and a medium, and the method comprises the steps: building a two-dimensional seismic work area, creating a model seismic channel and a two-dimensional seismic section, achieving the matching and positioning of seismic data pictures, and completing the vectorization of paper data; by creating a time-depth relation model and a calibrated positioning seismic data picture, structural interpretation is completed, and therefore the problems that a paper profile interpretation method depends on manpower, consumes long time and is low in interpretation precision are solved. The apparatus and medium of the present invention can store and execute a computer program based on the method. The method is suitable for the horizon interpretation technology.

Description

Technical Field

[0001] The present invention belongs to the technical field of seismic data interpretation, and relates to the interpretation of seismic data images, and specifically to a vectorized interpretation method, device and medium for seismic data images. Background Art

[0002] In seismic data interpretation, due to the long time span of seismic data collection in different periods, some of the seismic data collected earlier contain a large number of paper seismic profiles preserved in the form of seismic data images. The interpretation of these seismic data images is indispensable in the structural implementation and zone evaluation of the study area. However, since paper image data lack necessary vector information, they cannot be directly used in structural interpretation.

[0003] At present, among the interpretation methods of seismic data images, the paper section interpretation method is used for paper seismic sections. First, after printing the seismic section image, the layer position is determined by manually comparing it with the digitized section or the neighboring area information, and the interpretation and closure of the layer fault are completed on paper to obtain the paper interpretation result; secondly, the paper interpretation result is digitized in the Shuanghu software, the navigation map is located, the survey line coordinates are picked up, and the digitized navigation data are obtained; finally, the paper interpretation result and the digitized navigation data are added to the work area to finally realize the structural interpretation.

[0004] The above-mentioned paper section interpretation method is digitized only after the paper interpretation results are obtained, and it relies heavily on manual comparison. It requires high experience from the staff, especially the interpretation and closure of the stratigraphic faults on paper. The calculation workload is large, the time is long, and the interpretation accuracy is relatively low, which affects the work quality. Summary of the invention

[0005] One purpose of the present invention is to provide a vectorization interpretation method for seismic data images, by establishing a two-dimensional seismic work area, creating a model seismic trace and a two-dimensional seismic profile, achieving matching and positioning of seismic data images, completing vectorization of paper materials, and completing structural interpretation by creating a time-depth relationship model and calibrated positioning seismic data images, thereby solving the problems of paper profile interpretation method relying on manual labor, consuming a long time, and having low interpretation accuracy; Another object of the present invention is to provide equipment and media for the vectorized interpretation method based on the above-mentioned seismic data images.

[0006] To achieve the above object, the present invention provides a vector interpretation method for seismic data images, which comprises the following steps performed in sequence: S1. Vectorize the positioning navigation map to obtain seismic line information; S2. Establishing a two-dimensional work area using the seismic line information, Model seismic traces with matching time grids are created in the two-dimensional work area by forward modeling method; The time range of the matching time grid includes the time range of the seismic data image; S3. Regularizing the seismic data image to obtain a valid seismic data image; Record the time and inflection point pile number corresponding to the seismic data profile in the effective seismic data image; S4. Create a two-dimensional seismic profile using the time and inflection point pile number corresponding to the seismic data profile; Matching and positioning the two-dimensional seismic profile with the effective seismic data image to obtain a positioned seismic data image; S5. Using the positioning seismic data image, after synthetic record calibration, create a time-depth relationship model that matches the logging data with the model seismic trace, so that the positioning seismic data image is quantitatively matched with the time and depth of the drilling layer in the logging data to obtain a calibrated positioning seismic data image; S6. Performing seismic data interpretation on the calibrated positioning seismic data image to obtain vectorized interpretation results.

[0007] As a limitation of the present invention, the seismic survey line information includes the starting point and inflection point pile number and coordinate information of the seismic data profile.

[0008] As a further limitation of the present invention, the regularization process is to remove the border of the seismic data image and the data area of ​​the disorderly reflection.

[0009] Among them, the removed areas cannot display or cannot clearly display the phase axis, are not within the research target layer, and are useless information in structural interpretation.

[0010] As a further limitation of the present invention, in step S5, after the time-depth relationship model is created, the time-depth relationship model is optimized through iterative processing.

[0011] The iterative processing is to compare the wave impedance characteristics of the synthetic record with the positioning seismic data image, and use the position of the drilling layer in the positioning seismic data image in the logging data to make a judgment: when the wave impedance characteristics of the synthetic record and the positioning seismic data image are best correlated, the corresponding position of the drilling layer is the corresponding reflection layer that needs to be tracked.

[0012] As a further limitation of the present invention, the seismic data interpretation is performed through human-computer interaction interpretation to complete detailed interpretation of horizons, detailed interpretation of faults, automatic structural mapping and comprehensive analysis.

[0013] The present invention also provides an electronic device for vectorized interpretation of seismic data images, comprising a memory, a processor, and a computer program stored in the memory and executable on the processor, wherein the processor implements the above-mentioned vectorized interpretation method of seismic data images when executing the computer program.

[0014] The present invention also provides a computer-readable storage medium storing a computer program for executing the above-mentioned vectorization interpretation method of seismic data images.

[0015] Due to the adoption of the above scheme, the present invention has the following beneficial effects compared with the prior art: The present invention firstly realizes the matching and positioning of seismic data images by establishing a two-dimensional seismic work area, creating a model seismic trace, processing seismic data images in a regular manner, and creating a two-dimensional seismic profile, so that the seismic data images have coordinate and time range information, and completes the vectorization of paper seismic profiles to become positioning seismic data images; secondly, by using the positioning seismic data images, after synthetic record calibration, a time-depth relationship model is created to realize quantitative matching of the positioning seismic data images with the drilling layers in the logging data; finally, the structural interpretation is completed; The present invention realizes vectorization of seismic data images by obtaining positioning seismic data images, does not require manual comparison work, significantly reduces the amount of paper calculations, can improve work efficiency, and uses computer programs to significantly improve interpretation accuracy. BRIEF DESCRIPTION OF THE DRAWINGS

[0016] The present invention is further described in detail below with reference to the accompanying drawings and specific embodiments.

[0017] Figure 1 This is a flowchart of Embodiment 1 of the present invention; Figure 2 This is the survey line information diagram in Example 1 of the present invention; Figure 3 It is a two-dimensional work area map in Example 1 of the present invention; Figure 4 The model seismic trace map with matching time grid in embodiment 1 of the present invention; Figure 5 It is a valid seismic data picture in Example 1 of the present invention; Figure 6 The image of the earthquake data located in Embodiment 1 of the present invention; Figure 7 It is a comparison chart of the detailed interpretation results of the strata obtained in Example 1 of the present invention and Comparative Example 1. DETAILED DESCRIPTION

[0018] The present invention is further described below in conjunction with embodiments, but those skilled in the art should understand that the present invention is not limited to the following embodiments, and any improvements and equivalent changes made based on the specific embodiments of the present invention are within the scope of protection of the claims of the present invention.

[0019] Example 1 Vectorized interpretation method of seismic data images This embodiment is a vector interpretation method for seismic data images. The flowchart of the method is as follows: Figure 1 , specifically including the following steps in sequence: S1. Vectorize the positioning navigation map, and draw the required survey lines to obtain survey line information, such as Figure 2 ,from Figure 2 Obtain seismic line information including the starting point and inflection point stake number and coordinate information of the seismic data profile.

[0020] S2. Load the seismic line information obtained in "step S1" into GeoEast software and establish a two-dimensional work area, such as Figure 3 ; Create forward model seismic data through forward modeling method, load the forward model seismic data into the two-dimensional work area in SGY format, and obtain model seismic traces; The time range of the model seismic trace is determined according to the time range of the seismic data image. The time range of the model seismic trace is greater than or equal to the time range of the seismic data image, and the model seismic trace with a matching time grid is obtained, such as Figure 4 shown.

[0021] S3. Regularize the seismic data image by removing the seismic data image border and the data area of ​​the messy reflection to obtain a valid seismic data image, such as Figure 5 ; Record the time and inflection point pile number corresponding to the seismic data profile in the valid seismic data image.

[0022] S4. The time and inflection point pile number corresponding to the seismic data profile recorded in "step S3" are loaded into the GeoEast software Egde module to create a two-dimensional seismic profile; The effective seismic data image is loaded into the two-dimensional seismic profile, and the matching positioning is achieved by adjusting the size of the effective seismic data image to be consistent with the size of the seismic profile, so as to obtain the positioning seismic data image, such as Figure 6 , the image already contains vector information, realizing the vectorization of seismic data images.

[0023] S5. Create and optimize the time-depth relationship model (S501) Creating a time-depth relationship model: Process the logging data to obtain synthetic records; Using the positioning seismic data images, after synthetic record calibration, a time-depth relationship model matching the well logging data with the model seismic trace is initially created; (S502) Optimizing the time-depth relationship model: The time-depth relationship model initially obtained is optimized through iterative processing. The specific iterative processing method is as follows: Compare the wave resistance characteristics of the synthetic record with those of the positioning seismic data image, and use the position of the drilling layer in the positioning seismic data image in the logging data to make a judgment. When the wave resistance characteristics of the synthetic record and the positioning seismic data image are most correlated, the corresponding position of the drilling layer is the corresponding reflection layer that needs to be tracked, and the optimization is completed; Through synthetic record calibration, the positioning seismic data image is quantitatively matched with the time and depth of the drilling layer in the logging data to obtain a calibrated positioning seismic data image; S6. The calibrated positioning seismic data images are interpreted through human-computer interaction to complete detailed interpretation of layers, detailed interpretation of faults, automatic structural mapping and comprehensive analysis to obtain vectorized interpretation results.

[0024] Comparative Example 1 A paper section interpretation method This comparative example is a paper section interpretation method, which is a well-known technical means in the art. By using this method, the same seismic data image as that in Example 1 is subjected to structural interpretation to obtain a detailed interpretation result of the stratigraphic position.

[0025] The results of the detailed interpretation of the horizon obtained in Example 1 and Comparative Example 1 are compared. Figure 7 The results obtained in Comparative Example 1 are shown in the figure by dotted lines, and the results obtained in Example 1 are shown in the figure by solid lines. Figure 7 It can be seen that the interpretation results obtained in Example 1 deviate from the event axis. Figure 7 There is an obvious deviation in the white framed area in the lower left corner, and the interpretation horizon obtained by the method of Example 1 of the present invention has a higher consistency with the event axis.

[0026] The above results show that the vectorized interpretation method of the present invention significantly improves the accuracy of result interpretation compared with conventional methods. The present invention also does not require manual comparison work, significantly reduces the amount of paper calculations, and can improve work efficiency.

[0027] Embodiment 2 A computer device This embodiment provides a computer device, which includes: a memory, a processor, and a computer program stored in the memory and executable on the processor, so as to implement the vectorization interpretation method of the seismic data image of Embodiment 1.

[0028] The memory is used to store non-temporary computer-readable instructions. Specifically, the memory may include one or more computer program products, which may include various forms of computer-readable storage media, such as volatile memory and / or non-volatile memory. The volatile memory may, for example, include random access memory (RAM) and / or cache memory (cache), etc. The non-volatile memory may, for example, include read-only memory (ROM), hard disk, flash memory, etc.

[0029] The processor may be a central processing unit (CPU) or other forms of processing units with data processing capability and / or instruction execution capability, and may control other components in the electronic device to perform desired functions. The processor is used to run the computer-readable instructions stored in the memory.

[0030] Those skilled in the art should be able to understand that in order to solve the technical problem of how to obtain a good user experience, the present embodiment may also include well-known structures such as a communication bus and an interface, and these well-known structures should also be included in the protection scope of the present disclosure.

[0031] For detailed description of this embodiment, reference may be made to the corresponding description in the aforementioned embodiment, which will not be repeated here.

[0032] Embodiment 3 A computer readable storage medium This embodiment provides a computer-readable storage medium, which stores a computer program. When the computer program is executed by a processor, the vectorization interpretation method of the seismic data image of Embodiment 1 is implemented.

[0033] The computer-readable storage medium stores non-transitory computer-readable instructions. When the non-transitory computer-readable instructions are executed by a processor, all or part of the steps of the above-mentioned methods of various embodiments are executed.

[0034] The above-mentioned computer-readable storage media include, but are not limited to: optical storage media (e.g., CD-ROM and DVD), magneto-optical storage media (e.g., MO), magnetic storage media (e.g., magnetic tape or mobile hard disk), media with built-in rewritable non-volatile memory (e.g., memory card) and media with built-in ROM (e.g., ROM box).

[0035] It should be noted that the above is only a preferred embodiment of the present invention and is not intended to limit the present invention. Although the present invention is 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 replace some of the technical features therein by equivalents. Any modification, equivalent replacement, improvement, etc. made within the spirit and principle of the present invention shall be included in the scope of protection of the claims of the present invention.

Claims

1. A vectorized interpretation method for seismic data images, characterized in that: The method comprises the following steps performed in sequence: S1. Vectorize the positioning navigation map to obtain seismic line information; S2. Establishing a two-dimensional work area using the seismic line information, and creating a model seismic trace with a matching time grid in the two-dimensional work area by a forward modeling method; The time range of the matching time grid includes the time range of the seismic data image; S3. Regularizing the seismic data image to obtain a valid seismic data image; Record the time and inflection point pile number corresponding to the seismic data profile in the effective seismic data image; S4. Create a two-dimensional seismic profile using the time and inflection point pile number corresponding to the seismic data profile; Matching and positioning the two-dimensional seismic profile with the effective seismic data image to obtain a positioned seismic data image; S5. Using the positioning seismic data image, after synthetic record calibration, create a time-depth relationship model that matches the logging data with the model seismic trace, so that the positioning seismic data image is quantitatively matched with the time and depth of the drilling layer in the logging data to obtain a calibrated positioning seismic data image; S6. Perform structural interpretation on the calibrated positioning seismic data image to obtain vectorized interpretation results.

2. The vectorization interpretation method of seismic data images according to claim 1, characterized in that: The seismic survey line information includes the starting point and inflection point pile number and coordinate information of the seismic data profile.

3. The vectorization interpretation method of seismic data images according to claim 2, characterized in that: The regularization process is to remove the seismic data image border and the data area of ​​the messy reflection.

4. The vectorization interpretation method of seismic data images according to any one of claim 3, characterized in that: In the step S5, after the time-depth relationship model is created, the time-depth relationship model is optimized through iterative processing.

5. The vectorization interpretation method of seismic data images according to any one of claims 1 to 4, characterized in that: The structural interpretation is performed through human-computer interaction to complete detailed interpretation of layers, detailed interpretation of faults, automatic structural mapping and comprehensive analysis.

6. An electronic device for vectorized interpretation of seismic data images, characterized in that: The invention comprises a memory, a processor and a computer program stored in the memory and executable on the processor, wherein the processor implements the vectorized interpretation method of the seismic data image according to any one of claims 1 to 5 when executing the computer program.

7. A computer-readable storage medium, characterized in that: The computer-readable storage medium stores a computer program for executing the vectorization interpretation method of seismic data images according to any one of claims 1-5.

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