Method and device for determining toc content

Abstract

The present invention provides a method and device for determining TOC content, wherein the method includes: establishing a mineral petrophysical model for optimal estimation of TOC by using laboratory-measured X-ray diffraction data, organic carbon density, logging density curve and other data, The accurate TOC distribution on the well is obtained through optimization and iteration, the TOC volume plate is established by using the measured TOC data and the equivalent medium model, and the TOC sensitive elastic parameters are determined. Finally, the pre-stack elastic parameter inversion is carried out on the seismic reflection gathers processed in the OVT domain. Statistical fitting is used to achieve the purpose of quantitatively predicting the spatial distribution of TOC content by combining well-seismic data and solving the technical problem that the prediction result of TOC content is not high. It is consistent with the measured value in the laboratory, and it can predict the TOC content of the no-sample point more accurately.

Description

technical field [0001] The invention relates to petroleum geophysical exploration technology, in particular to a method and device for determining the content of TOC (Total Organic Carbon, total organic carbon). Background technique [0002] At present, seismic methods are mainly used to predict tight oil and gas reservoirs. Tight oil and gas have two characteristics: 1) Due to the tight lithology, low porosity and permeability, the distance for oil and gas to be drained and transported from source rocks is very short, so often Stored in reservoirs close to source rocks, that is, oil and gas have the characteristics of "short displacement and short migration"; 2) Since tight lithology is often complex in composition, it is both source rocks and reservoirs, so oil and gas are sometimes produced. In other words, oil and gas have the characteristics of "self-generation and self-storage". The above two characteristics of tight oil and gas determine that one of the main contents...

AI Technical Summary

Problems solved by technology

Compared with the previous method, the biggest feature of this method is that it takes geological knowledge as the background, and can grasp the validity of the prediction results from a macro perspective, but the vertical accuracy is very low, and the error of the prediction results is larger

[0008] For how to improve the prediction accuracy of TOC content, no effective solution has been proposed so far

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