Plate manufacturing method and system for clay content recognition

Abstract

The invention provides a plate manufacturing method and system for clay content recognition. The method comprises the steps of S1, obtaining the mineral types of various mineral components in a rock sample and the corresponding mineral contents of the mineral types, wherein the mineral components comprise clay; S2, constructing a rock physical model according to the mineral types; and S3, keepingthe mineral types of the rock physical model unchanged, changing the mineral content and porosity of the clay according to a certain interval, and establishing a plate for clay content identification.The system comprises a model construction unit which is used for constructing the rock physical model according to the mineral types of various mineral components in the obtained rock sample, whereinthe mineral components comprise clay; and a plate making unit which is used for keeping the mineral types of the rock physical model unchanged, changing the mineral content and porosity of the clay according to a certain interval, and establishing the plate for clay content identification. According to the invention, the blank of identifying the type and content of clay by using the seismic datais filled.

Description

technical field [0001] The invention belongs to the field of geophysical research, and in particular relates to a method for making a shale gas reservoir clay identification plate based on rock physics. Background technique [0002] The types and distribution of clay in shale framework minerals are complex, which have a significant impact on the physical properties and geophysical response of shale. The predecessors usually used natural gamma ray spectral logging to link uranium, thorium, and potassium content with predicted clay types through multiple regression methods, and even carried out quantitative calculation and prediction of shale mineral composition by elemental capture spectral logging. However, it is rare to use conventional logging data to carry out calculation research on the main mineral composition of shale, which makes it almost blank to use elastic parameters obtained from various seismic inversions to evaluate shale gas reservoirs. [0003] Petrophysical...

AI Technical Summary

Problems solved by technology

The predecessors usually used natural gamma ray spectral logging to link uranium, thorium, and potassium content with predicted clay types through multiple regression methods, and even carried out quantitative calculation and prediction of shale mineral composition by elemental capture spectral logging. However, it is rare to use conventional logging data to carry out calculation research on the main mineral components of shale, which makes it almost blank to use elastic parameters obtained from various seismic inversions to evaluate shale gas reservoirs.

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