Method of evaluating volumes of components in mud shale

Abstract

The invention belongs to the technical field of evaluation of components in mud shale, and discloses a method of evaluating volumes of components in mud shale by means of a conventional logging curve. The method includes the steps of: 1) on the basis of organic carbon analysis, porosity test and total rock inspection test of the mud shale after extraction, with combination of densities of the components in the mud shale, calibrating the volumes of the components in the mud shale and establishing a component volume model of the mud shale; 2) on the basis of evaluation of total organic carbon content with a [delta]logR method, with combination of a relationship of organic carbon before and after the extraction, calculating volume of kerogen, and performing optimizing calculation to obtain a BP neural network model of mineral components and pore volumes in a cross validation manner. The method, on the basis of ensuring that the sum of the volumes of the components in mud shale is 1, achieves the advantages of multiple inputs and multiple outputs of the BP neural network and solves a complex nonlinear problem between the components in mud shale and logging response.

Description

technical field [0001] The invention belongs to the technical field of shale component evaluation, in particular to a method for evaluating the volume of each component of shale. Background technique [0002] In recent years, shale oil and gas, as one of the important development directions in the field of unconventional oil and gas, has attracted widespread attention due to its huge resources. Shale oil and gas refers to hydrocarbons that have been generated but remain in the micro-nano pores of organic-rich shale. Organic-rich shale is both source rock and reservoir rock. Whether shale oil and gas can be effectively exploited mainly depends on the enrichment degree and seepage capacity of hydrocarbons. The hydrocarbon content in shale is mainly related to the total organic carbon content (TOC) and reservoir porosity, while the seepage capacity of hydrocarbons is mainly affected by the reservoir space (pore, throat distribution and connectivity). Total organic carbon in s...

AI Technical Summary

Problems solved by technology

[0027] To sum up, the problems existing in the existing technology are: first, the mud shale has strong heterogeneity, and the distribution form of each component is complex, and its logging response is not a simple linear superposition, and the full-volume linear model is no longer Second, when evaluating the volume of kerogen based on the content of total organic carbon, the contribution of organic carbon in residual oil and gas to total organic carbon is not considered, resulting in an overestimated volume of kerogen

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