Title

Application of Evolutionary Neural Networks for Well-logging Recognition in Petroleum Reservoir

Document Type

Conference Presentation

Conference Title

Seventh International Conference on Computational Intelligence and Security

Location

Hainan, China

Conference Dates

December 3-4, 2011

Date of Presentation

12-3-2011

Abstract

A critical task of well-logging interpretation is to differentiate oil-gas-water layers. Other approaches based on data exploration and low recognition rate are difficult to generalize oil-gas-water layers identification because of the high moisture content in the later period of development. In this research we utilize evolutionary neural networks to build the interpreting model of oil-gas-water layers and extracting well-logging parameters. By using an evolutionary neural network method to recognize reservoir stratum, it can efficiently distinguish oil-gas-water layers.

First Page

362

Last Page

366

DOI

10.1109/CIS.2011.87

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