Compact glutenite gas reservoir quantificational prediction method

Abstract

The invention relates to the energy exploration field, and provides a compact glutenite gas reservoir quantificational prediction method. The method comprises the following steps: a geologic model of practical geologic features of a research region is established; A prestack geostatistics inversion parameter, impedance probability distribution and a variation function are obtained through analysis of drilling wells in a work area, and based on the geologic model, combined with lithofacies data, logging data and earthquake data, a geologic body and a probability body are obtained after calculation in a Markov chain Monte Carlo method. Through establishment of the glutenite gas reservoir geologic model and a rock physical model, drilling well transverse wave data is obtained, and through analysis of the gas reservoir characteristics, the earthquake sensitive parameter of the gas reservoir is obtained. By utilization of the inversion technology, the concrete geologic body and probability body are obtained, and the technical problems are solved that the earthquake vertical resolution is low, impedances of gas reservoir and surrounding rocks are superposed and the compact glutenite gas reservoir prediction precision is not high. The prediction method lowers the solution multiplicity of earthquake reservoir prediction.

Description

technical field [0001] The invention relates to the field of energy exploration, in particular to a quantitative prediction method for tight sandy conglomerate gas reservoirs. Background technique [0002] As we all know, there is a large amount of energy in underground reserves. However, its distribution is wide and uneven. Before mining, it is necessary to carry out more accurate exploration and research on it. Exploration is mainly carried out by drilling and geophysics. After decades of development, the conventional favorable sandstone reservoirs have been fully developed, and now it is turning to the exploration stage of tight glutenite gas reservoirs. Therefore, only by finely predicting the spatial distribution of tight glutenite gas reservoirs can we accurately judge the exploration potential of this area. Potential, that is, whether the block has abundant energy available for exploitation. [0003] However, the prediction of tight sandy conglomerate gas reservoirs ...

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Problems solved by technology

[0005] The quantitative prediction method of tight glutenite gas reservoirs disclosed by the present invention solves the problems of low vertical and horizontal resolution, overlapping impedance of gas reservoirs and surrounding rocks, and low prediction accuracy of tight glutenite gas reservoirs in the prior art. technical problem