2008Journal of Shandong University of TechnologyRequires access

Studies in the quantitative evaluation method of the oil-water layer with the detection logging data

XU Bo-wen

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Abstract

The accurate calculation of the saturation of the complicate reservoir is the key element of the quantitative interpretation.When either logging data or mud logging data can not reflect the characteristic of the reservoir correctly,it is an effective method to evaluate reservoir by unifying the two data to the same platform and interpreting them comprehensively.This article has built the integrated interpretation chart to evaluate the objective reservoir through analysis of well logging data and mud logging data of an oil field.This strategy was validated through practical application.

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What this paper is about

The accurate calculation of the saturation of the complicate reservoir is the key element of the quantitative interpretation.When either logging data or mud logging data can not reflect the characteristic of the reservoir correctly,it is an effective method to evaluate reservoir by unifying the two data to the same platform and interpreting them comprehensively.This article has built the integrated interpretation chart to evaluate the objective reservoir through analysis of well logging data and mud logging data of an oil field.This strategy was validated through practical application.

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Available abstract

The accurate calculation of the saturation of the complicate reservoir is the key element of the quantitative interpretation.When either logging data or mud logging data can not reflect the characteristic of the reservoir correctly,it is an effective method to evaluate reservoir by unifying the two data to the same platform and interpreting them comprehensively.This article has built the integrated interpretation chart to evaluate the objective reservoir through analysis of well logging data and mud logging data of an oil field.This strategy was validated through practical application.

Key concepts: Logging, Well logging, Oil field, Chart, Petroleum engineering, Mud logging, Environmental science, Geology

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