摘要
油气储层产能评价和预测是编制油田开发方案的重要组成部分。一般说来，产能是油气储层动态特征的一个综合指标，它是油气储层生产潜力和各种影响因素之间在互相制约过程中达到的某种动态平衡，而利用测井储层评价手段所获取的储层参数，主要反映的是储层的静态特征，而对其动态特征极少直接反映，充分应用测井资料来评价由基岩块孔隙和裂缝或溶洞等双重介质组成的双孔结构储层的产能，却一直是测井解释分析家们所致力解决的问题。
Reservoir productivity evaluation and prediction are the inportant constituents in working out an oilfield development plan.Generally, productivity is an aggregative indicator of a reservoir in dynamic performance. It is some kind of dynamic balance between reservoir potential productivity for oil and gas and different kinds of influencing factors in the course of restriction to each other.The reservoir parameters acquired by well logging evaluation reflect mostly the static characteristics of the reservoir, while the dynamic characteristics are seldom reflected directly.To evaluate the productivty of a bi-pore structure reservoir which is made up of two medium--basic rock pore and fracture or solution vug with well logging data is always a problem that well logging interpreters are searching for the resolution.
出处
《国外测井技术》
2007年第5期35-36,44,共3页
World Well Logging Technology
关键词
测井储层
产能
产能预测
BP神经网络
well logging reservoir
productivity
productivity prediction
BP neural network
