长岭1号气田火山岩储层物性参数常规测井解释模型
Interpretation model of general log-curves to volcanic reservoir properties in Changling No.1 gas field
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摘要: 目前,关于利用常规测井资料解释火山岩储层物性参数的研究处于初级阶段,还没有固定的模式可循,也没有现成的公式。利用BP神经网络模型,建立了火山岩储层物性参数与常规测井曲线的非线性关系。应用该方法解释长岭1号气田营城组火山岩储层单井物性参数,模型检测验证表明,准确率高、效果好。Abstract: Up to now,the research of general log-curves interpreting volcanic reservoir properties is little,and there is nofixed pattern to follow,and also no ready made formula. By using of BP neural network,the paper interpreted the nonlinear relationship between volcanic reservoir physical parameters and conventional log curve. The application of thismethod interprets the volcanic rock reservoir single well physical parameters in Changling No. 1 gas field Yingcheng formation. The model validation test has been shown withhigh accuracy and satisfactory result.