Method and system for representing stratified index of sand gravel reservoir

Abstract

The invention discloses a method and system for representing a stratified index of a sand gravel reservoir. The method comprises the steps that an electrical imaging logging technology is utilized tocollect a sand gravel reservoir image; according to preset line intervals and column intervals, the current image is subjected to meshing division, a transverse continuity index of the current reservoir is obtained according to a standard variance of a line conductivity value of each line, and a corresponding longitudinal continuity index is obtained according to a standard variance of a column conductivity value of each column; according to the transverse continuity index and the longitudinal continuity index, the stratified index of the current reservoir is calculated to be used for quantitatively representing the strength of the stratified property of the current reservoir. According to the method and system for representing the stratified index of the sand gravel reservoir, quantitative representation of the stratified index of the reservoir is achieved, the stratified index boundary of the effective reservoir is determined, and an effective means is provided for effective reservoir identification based on electrical imaging.

Description

Technical field [0001] The invention relates to the field of petroleum logging engineering, and in particular to a method and system for characterizing the layer index of glutenite reservoirs. Background technique [0002] In recent years, with the continuous expansion of my country's oil and gas exploration and development fields, glutenite oil and gas reservoirs have become one of the targets of in-depth exploration. Electrical imaging logging can provide intuitive, clear, and high-resolution images of the stratum surrounding the wellbore, and its electrical imaging images contain rich geological information such as lithology and rock structure in the stratum. In the glutenite reservoir section, electrical imaging images can clearly reflect the characteristics of the layered structure of the reservoir. [0003] At present, through qualitative analysis of a large number of examples in the study area, it is found that the stratification of glutenite reservoirs is closely related t...

AI Technical Summary

Problems solved by technology

Predecessors have done a lot of research on the evaluation of glutenite reservoir structure using electrical imaging images, but there are few studies on the layered reservoir structure of glutenite, and they all stay at the qualitative description of reservoir layeredness. Lack of effective means to quantitatively characterize reservoir stratification, and it is impossible to establish quantitative identification criteria for effective reservoirs based on reservoir stratification

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