Method and device for geologic random inversion based on multiple-point geostatistics

Abstract

The invention provides a method and a device for geologic random inversion based on multiple-point geostatistics, and relates to the technical fields of geology and petroleum exploration. The method includes the following steps: determining an initial lithofacies model by a multiple-point geostatistical stochastic simulation algorithm; performing probabilistic disturbance updating to generate a probabilistic disturbance updated lithofacies model; counting the distribution functions of reservoir physical parameters in different lithofacies, and converting the probabilistic disturbance updated lithofacies model into a pseudo-reservoir physical property parameter model; converting the pseudo-reservoir physical property parameter model into an elastic parameter model; carrying out time-depth conversion to obtain a time domain elastic parameter model, determining a reflection coefficient, and synthesizing a seismic record through forward modeling a convolution model; comparing the seismic record with a pre-determined actual seismic record, and determining a lithofacies model result and a pseudo-reservoir physical property parameter model result according to a maximum disturbance numberand a maximum simulation number; and carrying out quantum annealing optimization on the pseudo-reservoir parameter model result to generate a reservoir physical property parameter inversion result.

Description

technical field [0001] The invention relates to the technical fields of geology and petroleum exploration, in particular to a method and device for geological random inversion based on multi-point geostatistics. Background technique [0002] At present, reservoir physical parameters (including porosity, shale content, water saturation, etc.) are an important basis for reservoir prediction and evaluation, estimation of oil and gas reserves and determination of development well locations. Seismic data contains very rich reservoir physical property information, and has the characteristics of high lateral resolution. It is an important data used in reservoir characterization and prediction. However, due to the extremely complicated relationship between reservoir physical parameters and seismic data, for Using seismic data to obtain reservoir physical parameters brings great difficulties. Seismic inversion technology can play an important role in reservoir characterization and m...

AI Technical Summary

Problems solved by technology

[0005] Embodiments of the present invention provide a random geological inversion method and device based on multi-point geostatistics to solve the problems of limited scope of application, low calculation efficiency, and the fact that the random inversion method based on multi-point geostatistics can only obtain The problem of inverse results

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