Identification method of total organic carbon content of source rocks in the whole well section based on well logging information

Abstract

A method for identifying the total organic carbon content of source rocks in the whole well section based on well logging information: collecting single well logging data and single well mudstone core or wall core total organic carbon content data; sorting and removing the total organic carbon content data Abnormal total organic carbon content data; make a comprehensive histogram of a single well; establish a regression equation between total organic carbon content and logging parameters; use 80% of the abnormal total organic carbon content data and the single well logging data of the corresponding depth to obtain Total organic carbon content and each model parameter value in the logging parameter estimation equation are substituted into the regression equation to obtain the logging prediction model; the logging parameters of the source rock section of the whole well are brought into the logging prediction model of the total organic carbon content, The continuous predicted value of total organic carbon content in the source rock section of the well is obtained; the remaining 20% ​​of the total organic carbon content data after removing anomalies are used to test the prediction effect of the predicted value of total organic carbon content. The method of the invention has obvious improvement in prediction accuracy compared with the current commonly used methods.

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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