基于CNN-LSTM混合神经网络的储层孔隙度预测模型 构建及应用.

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Bibliographic Details
Title: 基于CNN-LSTM混合神经网络的储层孔隙度预测模型 构建及应用.
Alternate Title: Construction and application of a reservoir porosity prediction model based on CNN-LSTM hybrid neural network.
Authors: 范伟1 fan_wei@cnpc.com.cn, 孙红华1, 杨 丹2, 窦松江3, 程兴春1, 马丽杰1
Source: Mud Logging Engineering. 2025, Vol. 36 Issue 4, p13-28. 9p.
Database: Academic Search Ultimate
Description
ISSN:16729803
DOI:10.3969/j.issn.1672‐9803.2025.04.003