Use of the cluster analysis and artificial neural network technology for log data interpretation

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Methods of the cluster analysis and artificial neural networks implemented in Schlumberger Techlog software modules were used for processing and interpretation of data on wells from the Verkhnechonskoe Oil and Gas Condensate Field. It was demonstrated that clusterization of data allows for significant improvement in reliability and accuracy of lithotype determinations as well as porosity and permeability of rocks.

Cluster analysis, artificial neural networks, well logging, lithotypes, porosity, permeability

Короткий адрес: https://sciup.org/146114600

IDR: 146114600

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