Method for identifying total organic carbon content of source rock in whole well interval based on logging information

Abstract

A method for identifying total organic carbon content of source rock in whole well interval based on logging information includes collecting single well logging data and single well mudstone core or wall core total organic carbon content data, Removing abnormal total organic carbon content data from the total organic carbon content data; Making a single well comprehensive histogram; establishingThe regression equation between TOC content and logging parameters. Using 80% total organic carbon content data and single well logging data at corresponding depth to calculate and substitute the parameters in the equation for estimating total organic carbon content and logging parameters inot the regression equation to obtain the logging prediction model. The total organic carbon (TOC) content in the whole source rock interval of the well is predicted by using the logging parameters into the logging prediction model of TOC content. The remaining 20% of the total organic carbon (TOC) after removal of anomalies was used to test the predictive effect of TOC predicted value. The prediction accuracy rate of the method of the invention is obviously improved compared with the current commonly usedmethod.

Description

technical field [0001] The invention relates to a method for identifying the total organic carbon content of source rocks. In particular, it relates to a method for identifying the total organic carbon content of source rocks in the whole well section based on well logging information. Background technique [0002] The organic carbon abundance of source rocks plays a very important role in evaluating the oil generation capacity of sedimentary basins and estimating oil and gas reserves. Conventional methods mainly rely on laboratory geochemical analysis and test results. However, this method has obvious defects: due to the limitation of drilling and coring, the data obtained through sample analysis are discrete data, and it is difficult to obtain continuous geochemical evaluation data. Usually, the hydrocarbon generation ability of a whole set of source rocks is evaluated by geochemical analysis data of several exploratory wells. However, due to the obvious heterogeneity of...

AI Technical Summary

Problems solved by technology

However, this method has obvious defects: due to the limitation of drilling and coring, the data obtained through sample analysis are discrete data, and it is difficult to obtain continuous geochemical evaluation data

However, its shortcoming is that it does not consider the different sensitivity of different logging parameters to the total organic carbon content of source rocks, and regards the response characteristics of these parameters as equivalent.

This problem limits the accuracy of the forecast results

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