well logging data 测井资料
well logging data model 测井数据模型
well logging data analysis 测井数据分析
well logging data processing 测井信号处理
production well-logging data 生产测井资料
well logging data acquisition 测井数据采集
conventional well logging data 常规测井资料
First,using the learning samples,which are obtained after the PCA of original well-logging data,to train the PCA-BP neural network and establishing the PCA-BP neural network model of lithology identification,then using the model to forecast the lithology of unknown samples.
首先将原始测井数据进行主成分分析,分析结果作为PCA-BP神经网络的学习样本进行训练,建立测井解释的PCA-BP神经网络岩性识别模型,并用该模型对测试样本进行识别。
参考来源 - 基于主成分分析的BP神经网络在岩性识别中的应用·2,447,543篇论文数据，部分数据来源于NoteExpress
By using multivariate linear regression analysis, the mathematical model to classify and evaluate reservoir with well logging data was established.
通过多元线性回归分析，建立了用多种测井信息划分、评价储层的数学模型。
The efficiency of accessing to well logging data is very important to well logging software, and the application of variable data structures to the logging software become very popular.
测井数据的高效访问直接关系到测井软件的执行效率，高效的数据结构在测井软件中的应用是数控测井软件的研究方向。
Rock drillability test is the foundation of prediction rock drillability from well logging data.
室内岩石微可钻性测试是测井预测岩石可钻性的实验基础。
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