Data-driven speed modeling method and system for disconnection control body

Abstract

The invention provides a data-driven speed modeling method and system for a disconnection control body, and the method comprises the steps: S1, carrying out the OVT domain pre-stack depth migration of a pre-stack gather, and forming an OVG gather; s2, dividing the OVG gather into a plurality of groups of OVG sub-gathers, independently performing residual time difference pickup on each OVG sub-gather, and establishing a tomographic equation; s3, obtaining a high-precision model update quantity through the plurality of groups of tomographic equations; and S4, updating the speed model, and performing depth domain migration imaging. According to the invention, the depth domain migration imaging precision can be improved.

Description

technical field [0001] The invention relates to the field of processing and interpretation of geophysical exploration seismic data, in particular to a data-driven velocity modeling method and system for fault-controlled bodies. Background technique [0002] As the geological targets faced by exploration and development become more and more complex, for example, the Shunbei oil and gas field in the Tarim Basin, which is dominated by fault-controlled oil and gas reservoirs, has developed a large number of strike-slip faults, which have strong directionality, small fault throw, and low internal velocity in the fault fracture zone. The characteristics of this kind of azimuth-related small-scale low-velocity anomaly target are difficult to obtain through conventional velocity inversion techniques. The limited accuracy of fault-karst body imaging also affects the accuracy of subsequent fault interpretation, reservoir prediction and trap evaluation, restricting the solution to geol...

AI Technical Summary

Problems solved by technology

[0002] As the geological targets faced by exploration and development become more and more complex, for example, the Shunbei oil and gas field in the Tarim Basin, which is dominated by fault-controlled oil and gas reservoirs, has developed a large number of strike-slip faults, with strong directionality, small fault throw, and low internal velocity in the fault fracture zone The characteristics of this kind of azimuth-related small-scale low-velocity anomaly target are difficult to obtain through conventional velocity inversion techniques. Even the existing high-precision modeling techniques cannot deal with such directional changes in velocity. The limited accuracy of fault-karst body imaging also affects the accuracy of subsequent fault interpretation, reservoir prediction and trap evaluation, restricting the solution to geological problems in this area

[0003] The conventional depth-domain velocity modeling technology can only invert the velocity changes of medium and long wavelengths, and the inversion accuracy is very limited. Even the high-precision multi-information constrained depth-domain modeling technology only adds certain constraints and controls. Appropriately reduce the inversion scale under the guidance of geological knowledge. This kind of technology is not purely data-driven and is greatly affected by human factors. The application effect is closely related to the knowledge and understanding of geological phenomena by modelers. There is a unified standard, and the application process needs to be very careful

[0004] At present, when faced with special abnormal geological bodies whose velocity is distributed along a certain direction, conventional velocity inversion techniques based on OFFSET gathers do not consider directional velocity changes, and the inversion results reflect the average and smoothing effects of each orientation

Images