摘要
针对低阻油气储层的测井特征，采用常规测井解释方法和神经网络法计算了孔隙度、饱和度、渗透率等参数，并在实际中得到了检验，符合率较高。同时对储层的划分、测井曲线质量的标定等进行了叙述，其测井解释精度可满足油气储量计算的要求，达到了解决地质问题的目的。
Based on logging characteristics of low resistivity oil and gas reservoirs,porosity,saturation and permeability etc.were calculated by adpoting conventional log interpretation and neural network methods.Case study showed good agreement.Meanwhile division of the reservoir and calibration of logs were discussed.Its accuracy can satisfy the demands for the estimation of oil and gas reserves.
出处
《新疆石油地质》
CAS
CSCD
北大核心
1996年第2期123-126,共4页
Xinjiang Petroleum Geology
关键词
电阻率
地层参数
测井解释
油气藏
储集层
Low Resistivity Reservoir parameter Log interpretation Neural network
