CN-122017961-A - Method, device, equipment, storage medium and program product for modeling mountain front belt speed

CN122017961ACN 122017961 ACN122017961 ACN 122017961ACN-122017961-A

Abstract

The embodiment of the application provides a method, a device, equipment, a storage medium and a program product for modeling the speed of a mountain front belt. By establishing a complex structural mode constraint speed modeling horizon structural interpretation and speed filling method, the problem that a complex structural area cannot be accurately modeled in speed is solved. Compared with the conventional speed modeling method, the speed model established by the method can be used for more accurately establishing the speed model conforming to the geological condition, and is a good way for solving the difficult problem of complex mountain front belt speed modeling.

Inventors

MO YANGANG
ZHANG YUAN
JIANG DAJIAN
LI LUCHEN
ZHOU YANXIN

Assignees

中国石油化工股份有限公司
中国石油化工股份有限公司石油勘探开发研究院

Dates

Publication Date: 20260512
Application Date: 20241112

Claims (11)

1. A method for modeling the speed of a mountain front belt based on construction mode constraints, comprising: S101, judging a deformation mode and slip layer distribution in a target area through geological outcrop analysis; step S102, time-frequency electromagnetic acquisition is carried out on the target area, and section explanation is carried out through a time-frequency electromagnetic section, so that the structural characteristics of sliding delamination in the target area are obtained; Step S103, performing construction horizon interpretation on the seismic section according to the deformation mode and slip layer distribution in the target area and the construction characteristics of slip delamination in the target area to obtain a construction model of the target area; Step S104, combining the construction model of the target area with the logging speed in the work area of the target area to obtain a speed model body in a three-dimensional space; Step 105, taking the speed model body as an initial speed model to carry out depth migration processing to obtain a CIP gather after migration; step S106, picking up the curvature of the same phase axis in the CIP gather, and further obtaining the residual time difference; And S107, taking the construction model of the target area as priori information, and carrying out construction model constraint chromatographic velocity inversion through the residual time difference to obtain an updated velocity model body.
2. The method as recited in claim 1, further comprising: And S108, taking the updated speed model body as a new initial speed model body, and repeating the steps S105 to S108 until a satisfactory imaging result is obtained.
3. The method according to claim 1, wherein the step S101 specifically includes: And respectively carrying out field observation on the basal plane and the main sedimentary stratum, and judging the deformation mode and the slipping layer distribution in the target area.
4. The method of claim 1, wherein the formula for the tomographic velocity inversion is: Where Δt is the discrete form of the remaining moveout, Δs i is the ith grid point slowness disturbance, and l i is the ray length of the ray in the ith grid.
5. A mountain front belt speed modeling apparatus based on construction mode constraints, comprising: The geological outcrop analysis module is used for judging the deformation mode and the slipping layer distribution in the target area through geological outcrop analysis; The sliding delamination structure characteristic determining module is used for carrying out time-frequency electromagnetic acquisition on the target area and carrying out section explanation through a time-frequency electromagnetic section to obtain the sliding delamination structure characteristic of the target area; The structure model determining module of the target area is used for performing structure horizon interpretation on the seismic section according to the deformation mode and slip layer distribution in the target area and the structure characteristics of slip delamination in the target area to obtain a structure model of the target area; The speed model body determining module is used for combining the construction model of the target area with the logging speed in the work area of the target area to obtain a speed model body in a three-dimensional space; The CIP gather determining module is used for carrying out depth migration processing by taking the speed model body as an initial speed model to obtain a CIP gather after migration; the residual time difference determining module is used for picking up the curvature of the same phase shaft in the CIP gather so as to obtain residual time difference; And the updating speed model body determining module is used for taking the construction model of the target area as priori information, and carrying out construction model constraint tomography speed inversion through the residual time difference to obtain the updating speed model body.
6. The apparatus as recited in claim 5, further comprising: And the iteration module is used for taking the updated speed model body as a new initial speed model body, and repeating the steps of the CIP gather determining module, the residual time difference determining module and the updated speed model body determining module until a satisfactory imaging result is obtained.
7. The apparatus of claim 5, wherein the geological outcrop analysis module is configured to: And respectively carrying out field observation on the basal plane and the main sedimentary stratum, and judging the deformation mode and the slipping layer distribution in the target area.
8. The apparatus of claim 5, wherein the formula for the tomographic velocity inversion is: Where Δt is the discrete form of the remaining moveout, Δs i is the ith grid point slowness disturbance, and l i is the ray length of the ray in the ith grid.
9. An electronic device, comprising: A processor; a memory; And a computer program, wherein the computer program is stored in the memory, which computer program, when executed by the processor, implements the method of any of claims 1-4.
10. A computer readable storage medium, characterized in that the computer readable storage medium has stored thereon a computer program which, when executed by a processor, implements the method of any of claims 1-4.
11. A computer program product, characterized in that the computer program product comprises a computer program which, when executed by a processor, implements the method of any of claims 1-4.

Description

Method, device, equipment, storage medium and program product for modeling mountain front belt speed Technical Field The application relates to the technical field of geophysical exploration seismic data processing, in particular to a method, a device, equipment, a storage medium and a program product for modeling the speed of a mountain front belt. Background Along with the continuous deep development of oil and gas exploration, in front of the mountains zones become one of key attack areas for oil and gas exploration and development, and the difficulty of mountain front zone exploration is far higher than that of conventional exploration. The mountain front zone is a zone with severe change from basin to mountain transition structure, the complex mountain front zone is mainly distributed in western regions including the regions of the periphery of the standard Ge Erpen, the Tarim basin, the Sichuan basin and the Qidamu basin, the overall exploration degree of the regions is low, rich oil and gas resources are reserved, and the complex mountain front zone is an important strategic succession zone of petrochemical oil and gas resources and is also an important point of oil and gas exploration in the current and future time. The accuracy of the velocity model is a key factor in determining the offset imaging results, especially the pre-stack depth offset, because the pre-stack depth offset tends to achieve better imaging in areas where lateral velocity changes are large. Depth domain velocity modeling is generally divided into two aspects, initial velocity model building and tomographic inversion modeling. The most commonly used speed modeling flow in industry at present is to adopt a rotational wave tomography inversion to obtain near-surface speed, splice the layer speed from the middle deep layer to the depth domain at the time-shift root mean square speed before stack, and establish an initial speed model. And performing tomographic inversion and migration on the initial velocity model, and gradually determining a final imaging velocity model based on a leveling imaging gather criterion. However, the conventional modeling method is not suitable for the data of the mountain front zone, firstly, the problem of matching exists in the speed fusion of the near surface and the middle deep layer due to the severe fluctuation of the terrain, secondly, the complex mountain front zone has complex structure, the transverse change of the speed field is severe, and the abnormal speed body can be generated in the complex structure area by the conventional method of establishing the model by transferring the time offset speed to the depth domain layer speed, so that the speed modeling precision and the imaging result accuracy are seriously affected. It should be noted that the information disclosed in the background section of the present application is only for enhancement of understanding of the general background of the present application and should not be taken as an admission or any form of suggestion that this information forms the prior art that is well known to a person skilled in the art. Disclosure of Invention In view of the above, the present application provides a method, apparatus, device, storage medium and program product for modeling a mountain front belt speed, so as to solve the problem that in the prior art, the conventional modeling method is not applicable to mountain front belt data, and an abnormal speed body is generated in a complex structure area, which seriously affects speed modeling accuracy and imaging result accuracy. In a first aspect, an embodiment of the present application provides a method for modeling a speed of a mountain front belt based on a construction mode constraint, including: S101, judging a deformation mode and slip layer distribution in a target area through geological outcrop analysis; step S102, time-frequency electromagnetic acquisition is carried out on the target area, and section explanation is carried out through a time-frequency electromagnetic section, so that the structural characteristics of sliding delamination in the target area are obtained; Step S103, performing construction horizon interpretation on the seismic section according to the deformation mode and slip layer distribution in the target area and the construction characteristics of slip delamination in the target area to obtain a construction model of the target area; Step S104, combining the construction model of the target area with the logging speed in the work area of the target area to obtain a speed model body in a three-dimensional space; Step 105, taking the speed model body as an initial speed model to carry out depth migration processing to obtain a CIP gather after migration; step S106, picking up the curvature of the same phase axis in the CIP gather, and further obtaining the residual time difference; And S107, taking the construction model of the target area as priori information, and