Data for: An improved neural network for TOC, S1 and S2 estimation based on conventional well logs
收藏doi.org2025-01-15 收录
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http://doi.org/10.17632/sk5jhk6s8s.1
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资源简介：
125 core shale samples and well logging data of Shahejie Formation from Dongying Depression, Bohai Bay, China were split into 100 training samples and 25 validating samples to evaluate the proposed CNN for predicting TOC, S1 and S2.
来自渤海湾东营凹陷沙河街组125个核心页岩样本及其测井数据被划分为100个训练样本和25个验证样本，以评估所提出之卷积神经网络在预测总有机碳含量（TOC）、S1和S2方面的性能。
提供机构：
Mendeley Data
