High-precision speed modeling method under fault control and processing terminal

Abstract

The invention relates to a high-precision velocity modeling method under fault control and a processing terminal. The method comprises the following steps: 1, establishing a depth domain initial interval velocity model according to seismic data; 2, constructing a geological grid according to a fault grid, a fault block and a horizon grid to establish a construction model; 3, picking up the residual time difference of a common imaging point gather; 4, carrying out at least more than two times of updating iteration processing on a depth domain initial interval velocity model by adopting a tomography inversion method constrained by a construction model; 5, performing pre-stack depth migration calculation to obtain a pre-stack depth migration profile and a common imaging point gather; and 6, repeating the steps 2-5 until the depth domain interval velocity model after optimization iteration meets the imaging geological requirements, and performing pre-stack depth migration body deviation according to the final depth domain interval velocity model to complete velocity modeling. According to the method and the processing terminal, the imaging precision and the precision of the velocity model are improved, and the exploration risk is effectively reduced.

Description

Technical field [0001] The invention relates to the technical field of seismic exploration, in particular to a high-precision velocity modeling method under fault control and a processing terminal. Background technique [0002] In seismic exploration, especially in the exploration of oil and gas reservoirs, complex fault block imaging and structural identification have become key factors. A series of geological risk factors such as the implementation of corresponding structural traps, reservoir carving, and accurate drilling into targets are all urgent considerations in actual exploration. Yes, this leads to two problems that geological exploration usually faces: imaging accuracy and structural distortion. [0003] Pre-stack depth migration is currently recognized as an effective method to solve seismic imaging, but its imaging accuracy largely depends on the rationality of the depth-velocity model. Therefore, tomographic imaging methods are usually used ( That is tomographic inve...

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Problems solved by technology

Due to the limitation of the principle of the tomography method, the tomographic inversion velocity modeling is prone to uncertainty in the inversion solution, which makes it difficult for the inversion velocity model to match the real geological structure, especially in complex fault blocks In the case of well-developed, it is difficult to use tomogra

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