Multi-point geostatistic stochastic inversion method based on image stitching and device

Abstract

The invention discloses a multi-point geostatistic stochastic inversion method based on image stitching and a device. Stochastic simulation is conducted through multi-point geostatistics, and thus theform of a target body can be better depicted; an image stitching technology is introduced, and thus multi-point geostatistic stochastic simulation results with good continuity can be obtained quicklyand efficiently; through a forward modeling method, the simulation results are synthesized into a seismic record to be compared with an actual seismic record, and a simulation result capable of beingcompared and matched with the actual seismic record is obtained firstly; then through a quantum annealing optimization algorithm, the simulation result is quickly optimized, the final stochastic inversion result is obtained under constraints of the seismic record, the precision of the inversion result of a cross-hole region is improved, the resolution ratio of the inversion result of the cross-hole region is increased, stochastic inversion is conducted for multiple times, thus the multiple different geostatistic stochastic inversion results can be obtained, the reliable basis is provided foruncertainty analysis, and then necessary reference information is provided for study of reservoir characterization, reservoir description and the like.

Description

technical field [0001] The invention relates to the technical field of stochastic inversion, reservoir characterization and modeling, in particular to a multi-point geostatistical random inversion method and device based on image stitching. Background technique [0002] Seismic inversion technology can play an important role in reservoir characterization and modeling. Generally, seismic inversion can be divided into deterministic inversion and stochastic inversion. In the actual data collected, the seismic data has good lateral continuity, but due to the band-limited nature of the seismic data, the improvement of resolution is limited; although the logging data has high resolution, it can only show the position of the borehole The features and parameters vary, and the lateral resolution is relatively low. Therefore, a key focus of seismic inversion is to make full use of the useful information in seismic and logging data to improve lateral and vertical resolution and refle...

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Problems solved by technology

[0004] In conclusion, the current multi-point geostatistical stochastic inversion method and research have the following problems and deficiencies: 1. The existing multi-point geostatistical stochastic simulation algorithm has poor continuity of simulation results, and the continuity needs to be further improved; and the existing simulation algorithm It is not suitable for direct use in stochastic inversion; 2. The current multi-point geostatistical stochastic inversion method performs a large number of forward modeling in the inversion process, which is inefficient; 3. Multi-point geostatistical stochastic inversion Affected by the above objective deficiencies, the scope of application is limited, and practical applications are limited.

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