2009Journal of Shandong University of TechnologyRequires access

Qualitative evaluation of oil-water layer with well logging data

XU Bo-wen

Open publisher page 1 citations

Abstract

Well logging date and mud logging data were the information collecting the reservoir characteristics from different view.An effective method was developed to evaluate reservoir comprehensively,which combined the well logging data with mud logging data,on the basis of the completely and accurately collecting logging data of reservoir.A qualitative evaluation model of oil-water layer was built in the research area using the advanced mathematic method,through the analyses of the core,well logging and mud logging data.Practical tests showed that the model performed very well.

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What this paper is about

Well logging date and mud logging data were the information collecting the reservoir characteristics from different view.An effective method was developed to evaluate reservoir comprehensively,which combined the well logging data with mud logging data,on the basis of the completely and accurately collecting logging data of reservoir.A qualitative evaluation model of oil-water layer was built in the research area using the advanced mathematic method,through the analyses of the core,well logging and mud logging data.Practical tests showed that the model performed very well.

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Available abstract

Well logging date and mud logging data were the information collecting the reservoir characteristics from different view.An effective method was developed to evaluate reservoir comprehensively,which combined the well logging data with mud logging data,on the basis of the completely and accurately collecting logging data of reservoir.A qualitative evaluation model of oil-water layer was built in the research area using the advanced mathematic method,through the analyses of the core,well logging and mud logging data.Practical tests showed that the model performed very well.

Key concepts: Logging, Well logging, Petroleum engineering, Data logger, Mud logging, Environmental science, Geology, Computer science

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