Oil and gas reservoir parameter tag data generation method and device

Abstract

The invention provides an oil and gas reservoir parameter tag data generation method and device. The method comprises the steps that according to logging data of a research area, a prior distributionprobability of lithofacies is obtained by utilizing a Gaussian mixture distribution function; Markov chain Monte Carlo random simulation is performed to generate a plurality of lithofacies curves changing along with depth; sequential Gaussian simulation is performed to generate a plurality of lithofacies curves changing along with transverse direction; according to the plurality of lithofacies curves changing along with depth, the plurality of lithofacies curves changing along with transverse direction and prior characteristics of oil and gas reservoir parameter logging curve values, random filling of all the lithofacies is performed so that a physical property parameter curve of the research area is obtained; lithofacies constraint statistics rock physical modeling is performed, and an elastic parameter curve of the research area is determined; and convolution is performed by utilizing a Zoeppritz reflection equation and seismic wavelets so that oil and gas reservoir parameter tag data are generated. The number and the quality of logging of the research area do not need to be depended on so that the mobility of the generated tag data can be enhanced and thus the generation efficiency can be enhanced.

Description

technical field [0001] The invention relates to the technical field of oil and gas geophysical exploration, in particular to a method and device for generating tag data of oil and gas reservoir parameters. Background technique [0002] In recent years, the focus of oil and gas exploration in my country has gradually shifted to the exploration of lithologic oil and gas reservoirs. Different from structural oil and gas reservoirs, these new reservoirs are affected by structure and reservoir heterogeneity, with complex accumulation conditions, difficult identification, difficult quantitative prediction, and high investment risks. In the field of oil and gas geophysical exploration, reservoir parameters, such as lithofacies, elastic parameters such as longitudinal and shear wave velocities, and physical parameters such as porosity and oil-gas saturation, can describe the elastic and physical properties of underground rocks. Important parameters for hidden forecasting. Due to t...

AI Technical Summary

Problems solved by technology

However, this method will make the generation of label data heavily dependent on the quantity and quality of well logging in the study area. Therefore, it is impossible to generate label data of oil and gas reservoir parameters for the study area with few well logs.

In addition, the transferability of the generated label data is extremely poor. Often, when changing the target research area, a large amount of well logging data and well side channel seismic data need to be collected again, which makes the generation efficiency of oil and gas reservoir parameter label data very low.

Images