宝浪油田油气层评价标准及应用  

Standard and Application of Reservoir Evaluation in Baolang Oilfield

作　　者：李薇[1] 胡志方[2] 李显路[1] 汪佳荣[3] 王永忱[3] 

机构地区：[1]河南油田分公司石油勘探开发研究院,河南南阳473132 [2]中国地质大学(北京)能源学院,北京100083 [3]河南石油勘探局,河南南阳473132

出　　处：《石油天然气学报》2006年第1期32-33,共2页Journal of Oil and Gas Technology

摘　　要：宝浪油田油气层物性较差,属于低孔、低渗、低显示油气层,油气层评价有一定难度,仅用单一的识别模式会遗失部分油气层,应用油藏物理学、渗流理论、神经网络等理论,根据试油资料,测井、录井信息,建立交会图法、模式识别和人工神经网络等宝浪油田油气层评价标准,并在实际解释中得以应用,取得了较好的效果。The physical properties of oil and gas in Baolang Oilfield are poor,which belongs to the reservoirs of low porosity,low permeability and low indication,and there exists some difficulties in oil and gas evaluation.Some of the reservoirs would miss if only single recognition pattern is used for evaluation.Thus based on formation test data and information of log and well logging,standards of crossplot,pattern recognition,artificial neural networks are established for reservoir evaluation in Baolang Oilfield by using the theories of reservoir physics,percolation and neural networks,the standards are used in interpretation and better result is achieved.

关 键 词：宝浪油田 油气层 评价标准 模式识别 

分 类 号：P618.13[天文地球—矿床学]