CN-116466397-B - Modeling method and related device for converted wave depth domain speed model

CN116466397BCN 116466397 BCN116466397 BCN 116466397BCN-116466397-B

Abstract

The invention discloses a modeling method and a related device of a converted wave depth domain speed model, wherein the method comprises the steps of carrying out inversion updating on the converted wave depth domain speed model to obtain a longitudinal wave speed, carrying out one-dimensional inversion updating on the converted wave depth domain speed model according to the longitudinal wave speed to update the converted wave speed, carrying out depth migration on the converted wave depth domain speed model to obtain a longitudinal wave channel set, carrying out depth migration on the converted wave depth domain speed model to obtain a converted wave channel set, carrying out joint inversion on the longitudinal wave channel set and the converted wave channel set to obtain a converted wave migration channel set, judging whether a deviated converted wave superposition profile and the converted wave migration channel set are reasonable, and judging whether an in-phase axis of the longitudinal wave and the converted wave is leveled, and outputting the converted wave depth domain speed model if the longitudinal wave superposition profile and the converted wave migration channel set are leveled. The method improves the accuracy of the depth domain speed modeling of the converted wave by joint inversion of the longitudinal wave and the transverse wave, and effectively avoids uncertainty factors brought by a GAMMA field in time migration processing.

Inventors

Wei Shanyazi
ZHANG XIAOJUN
ZHOU MI
DONG SHUILI
XU QIANG
XIE TAO
GONG YUNLIANG
HU HONGCHENG
ZHANG HAOYUE
ZHANG MINGZHU

Assignees

中海油田服务股份有限公司

Dates

Publication Date: 20260508
Application Date: 20230526

Claims (6)

1. A method for modeling a converted wave depth domain velocity model, comprising: Step S1, inversion updating is carried out on a longitudinal wave depth domain velocity model to obtain a longitudinal wave velocity; Step S2, carrying out one-dimensional inversion updating on a converted wave depth domain velocity model according to the longitudinal wave velocity to update the converted wave velocity, wherein the longitudinal wave and the converted wave are subjected to horizon interpretation in a depth domain; S3, performing depth migration through a longitudinal wave depth domain velocity model to obtain a longitudinal wave channel set, performing depth migration through a converted wave depth domain velocity model to obtain a converted wave channel set, and performing joint inversion through the longitudinal wave channel set and the converted wave channel set to obtain a converted wave migration channel set, wherein the longitudinal wave depth domain velocity model is used for defining a ray path from a shot point to an imaging point; And S4, judging whether the offset converted wave superposition profile and the converted wave offset trace set are reasonable, and whether the in-phase axes of the longitudinal wave and the converted wave are leveled, if not, picking up the residual curvature based on the converted wave offset trace set, picking up the inclination angle information based on the converted wave superposition profile, performing tomographic inversion according to the picked residual curvature and the inclination angle information, calculating the transverse wave velocity disturbance quantity, performing three-dimensional inversion updating on the converted wave depth domain velocity model according to the transverse wave velocity disturbance quantity, and executing the step S2 after the three-dimensional inversion updating, if so, outputting the converted wave depth domain velocity model.
2. The method of claim 1, further comprising, prior to step S1, establishing an initial longitudinal wave depth domain velocity model and an initial converted wave depth domain velocity model, respectively, wherein the initial converted wave depth domain velocity model is established based on log data, gamma field parameters, and velocity scans.
3. The method of claim 1, wherein after the outputting of the converted wave depth domain velocity model, the method further comprises: obtaining converted wave data of a depth domain according to the converted wave depth domain speed model; And converting the converted wave data of the depth domain into a time domain to obtain the converted wave data of the time domain.
4. A modeling apparatus for a converted wave depth domain velocity model, comprising: The longitudinal wave inversion updating module is used for carrying out inversion updating on the longitudinal wave depth domain speed model to obtain the longitudinal wave speed; the system comprises a one-dimensional inversion updating module, a one-dimensional inversion updating module and a one-dimensional inversion updating module, wherein the one-dimensional inversion updating module is used for carrying out one-dimensional inversion updating on a converted wave depth domain speed model according to the longitudinal wave speed and updating the converted wave speed; the system comprises a migration gather acquisition module, a conversion wave migration gather acquisition module, a detection point acquisition module and a detection point acquisition module, wherein the migration gather acquisition module is used for carrying out depth migration through a longitudinal wave depth domain speed model to obtain a longitudinal wave gather, carrying out depth migration through a conversion wave depth domain speed model to obtain a conversion wave gather, and carrying out joint inversion through the longitudinal wave gather and the conversion wave gather to obtain the conversion wave migration gather; The three-dimensional inversion updating module is used for judging whether the offset converted wave superposition profile and the converted wave offset gather are reasonable or not, judging whether the same phase axes of the longitudinal wave and the converted wave are leveled or not, if not, picking up the residual curvature based on the converted wave offset gather, picking up the inclination angle information based on the converted wave superposition profile, performing tomographic inversion according to the picked-up residual curvature and the inclination angle information, calculating the disturbance quantity of the transverse wave velocity, performing three-dimensional inversion updating on the converted wave depth domain velocity model according to the disturbance quantity of the transverse wave velocity, triggering the one-dimensional inversion updating module after the three-dimensional inversion updating, and outputting the converted wave depth domain velocity model if yes.
5. A computing device comprising a processor, a memory, a communication interface, and a communication bus, the processor, the memory, and the communication interface completing communication with each other over the communication bus; The memory is configured to store at least one executable instruction that causes the processor to perform operations corresponding to the method for modeling a converted wave depth domain velocity model according to any one of claims 1-3.
6. A computer storage medium having stored therein at least one executable instruction for causing a processor to perform operations corresponding to the method of modeling a converted wave depth domain velocity model according to any one of claims 1-3.

Description

Modeling method and related device for converted wave depth domain speed model Technical Field The invention relates to the technical field of oil and gas field exploration, in particular to a modeling method and device for a converted wave depth domain speed model, computing equipment and a computer storage medium. Background At present, a large amount of converted wave data on the sea in China are not developed and utilized, and the area of the sea is increased year by year. The converted wave is the most critical factor for making up the deficiency of longitudinal wave exploration, how to process the converted wave is always a difficult problem in the industry, the company at home and abroad has few successful cases, and the case that the converted wave depth migration technology is successful is more the phoenix-shaped living being. Converted waves can be simply understood as longitudinal waves which are incident and transverse waves which are emergent, the ray paths of the converted waves are geometrically asymmetric, and the propagation rule of the transverse waves and the converted waves between the ground layers is far more complex than that of the longitudinal waves. The above-described features of the converted wave are direct causes of difficulties in velocity analysis, extraction of common center points, depth domain velocity modeling, and the like. Due to the asymmetry of the propagation paths of converted waves, when pre-stack time migration imaging is carried out, a common conversion point is needed to be found through a GAMMA (GAMMA) field, the key parameter for finding the conversion point is the GAMMA field, and simultaneously, three parameters are needed to be VP, VS, GAMMA in the migration process, the difficulty in solving the three parameters is high, the influence of human factors of the GAMMA field is too great, uncertainty is filled, and the imaging position obtained through time migration is inaccurate, so that the subsequent interpretation and reservoir prediction work are influenced. Disclosure of Invention In view of the foregoing, the present invention has been made to provide a modeling method and apparatus, a computing device, and a computer storage medium for a converted wave depth domain velocity model capable of effectively avoiding the existence of an uncertainty in a converted wave prestack time migration technique. According to an aspect of the present invention, there is provided a modeling method of a converted wave depth domain velocity model, including: Step S1, inversion updating is carried out on a longitudinal wave depth domain velocity model to obtain a longitudinal wave velocity; step S2, carrying out one-dimensional inversion updating on a converted wave depth domain speed model according to the longitudinal wave speed so as to update the converted wave speed; s3, performing depth migration through a longitudinal wave depth domain speed model to obtain a longitudinal wave channel set, performing depth migration through a converted wave depth domain speed model to obtain a converted wave channel set, and performing joint inversion through the longitudinal wave channel set and the converted wave channel set to obtain a converted wave migration channel set; And S4, judging whether the offset superposition profile of the converted wave and the offset gather of the converted wave are reasonable, and whether the in-phase axes of the longitudinal wave and the converted wave are leveled, if not, carrying out three-dimensional inversion updating on the depth domain velocity model of the converted wave, and executing the step S2, and if so, outputting the depth domain velocity model of the converted wave. In an alternative mode, the longitudinal wave depth domain velocity model is used for defining a ray path from a shot point to an imaging point, and the converted wave depth domain velocity model is used for defining a ray path from a detector point to the imaging point. In an alternative way, before the step S1, the method further comprises respectively establishing an initial longitudinal wave depth domain velocity model and an initial converted wave depth domain velocity model, wherein the initial converted wave depth domain velocity model is established according to logging data, gamma field parameters and velocity scan. In an alternative manner, the step S2 further includes: Performing horizon interpretation on the longitudinal wave and the converted wave in a depth domain; based on horizon matching requirements, obtaining converted wave speed to be updated according to the longitudinal wave speed; and carrying out one-dimensional inversion updating on the converted wave depth domain speed model according to the converted wave speed to be updated. In an alternative manner, the three-dimensional inversion updating of the converted wave depth domain velocity model further includes: picking up the remaining curvature based on the converted wave offset gathers; Pickin