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《Well Logging Technology》 2012-04
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Research on Reservoir Flow Unit Based on BP Neural Network Technology

SIMA Liqiang1,XIAO Hua1,YUAN Long1,LU Fengcai2(1.Department of Resource and Environment,Southwest Petroleum University,Chengdu,Sichuan 610500,China; 2.Geological Logging Division of Jiangsu Petroleum Exploration Bureau,Yangzhou,Jiangsu 225002,China)  
Fang 4 block reservoir with low porosity and low permeability is complex in Huangjue oilfield,so,reservoir parameter calculated has bigger error.Combining with coring formation property material and log data,the reservoir is divided into three types of flow units by flow zone index(IFZ).Established are the recognition and division standards of the flow units.Based on this,BP neural network technology is used to learn and train the reservoir flow units of coring wells.With such a technology,directly built is the mapping relation between log responses and flow unit types so as to learn and predict the flow units in the coring wells or non-coring wells.Log interpretation accuracy is obviously improved,which provides an effective way for fine reservoir interpretation.
【CateGory Index】: P618.13
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