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Research on Perceptual Reasoning on Useful Rules for Intelligent Evaluation of Oilfield Production

Di Yu  Furui Liu  Li Yang  
【摘要】:The massive data and complex reservoir environment make the process of well-pattern evaluation inefficient,however,the thought of computing with words provides new idea for intelligent evaluation of injection-production well pattern.Perceptual reasoning method based on firing intervals and one based on similarity are discussed to obtain the output of the engine of computing with words.Firing interval or firing level are computed and the outputs of firing rules are obtained using linguistic weight average method.Then,comparative analysis is carried for two different perceptual reasoning methods based on useful rule bases.Simulation results show that results obtained from perceptual reasoning based on similarity are more similar with footprint of uncertainty of words in codebook,and more in accordance with oilfield production reality.
【作者单位】:Institute of Information Technology,Beijing Union University University of Northeast Petroleum
【基金】:supported by National Natural Science Foundation(NNSF) of China under Grant 51404074
【分类号】:TE357.6
【正文快照】:
1Introduction Oil field water flooding management is a complex project including many development activities.Being an important part of water flooding management,well-pattem evaluation can be used to determine the measures to optimize the oil re?covery

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