计算机技术与发展Issue(6)：211-215,5.DOI:10.3969/j.issn.1673-629X.2015.06.047
基于NNFR神经模糊推理的储层参数识别与评价
Fuzzy Inference Reservoir Parameter Identification and Evaluation Based on NNFR
摘要
Abstract
With the continuous development of exploration technology and research is studied deeply,the hydrocarbon reservoir prediction accuracy is higher and higher. In order to improve the precision of parameter identification,at the same time,apply geochemical data to a-chieve the parameters identification and evaluation of reservoir,by the introduction of data normalization algorithm,overcome the various interferences on the prediction results,and by means of NNFR to identify and evaluate the parameters. By establishing the procedure of analyzing method,it recognizes the reservoir parameters. In order to verify the correctness of the theory and model,it tests the data units of 12 test wells in 7 wells,which proves the feasibility of the method.关键词
数据归一化/神经网络/模糊推理/储层预测Key words
data normalization/neural network/fuzzy inference/reservoir prediction分类
信息技术与安全科学引用本文复制引用
张方舟,张媛媛,金宗泽,邱露露,宋经纬..基于NNFR神经模糊推理的储层参数识别与评价[J].计算机技术与发展,2015,(6):211-215,5.基金项目
黑龙江省科技攻关项目(F2004-01) （F2004-01）
黑龙江省教育重大科研项目(10051z0001) （10051z0001）
黑龙江省教育科学技术研究项目(11551016) （11551016）
