石油地球物理勘探2025，Vol.60Issue(2)：292-301,10.DOI:10.13810/j.cnki.issn.1000-7210.20240145
改进ConvNeXt V2的岩石薄片岩性识别方法
Rock thin section lithology identification based on improved ConvNeXt V2
摘要
Abstract
In the field of oil and gas exploration,the occurrence state of oil and gas resources can be determined from rock microstructure,and the accuracy and efficiency of this approach can be improved by an effective litho-logy identification method.This paper proposes a rock thin section lithology identification method based on im-proved ConvNeXt V2.First,ConvNeXt V2-T is used as the core feature extraction network,and the global at-tention mechanism is embedded to improve the perception of global features.Then,a multi-scale feature fusion module is designed,which can effectively fuse feature maps at different scales.Finally,the model optimizer is improved by using Lion optimizer instead of the original Adamw optimizer,which is faster,achieves better ge-neralization performance,and saves more memory.The experimental results show that the average values of ac-curacy,precision,recall,specificity,and F1 score of the algorithm proposed in this paper are 96.1%,95.5%,96.2%,99.1%,and 95.8%,respectively.The improved algorithm has a faster convergence rate and higher accuracy,which can realize accurate classification and identification of rock thin section images.关键词
岩性识别/ConvNeXt V2/全局注意力机制/多尺度特征融合/Lion优化器Key words
lithology identification/ConvNeXt V2/global attention mechanism/multi-scale feature fusion/Lion optimizer分类
天文与地球科学引用本文复制引用
王婷婷,蒋静怡,赵万春,秦依凡,李廷礼..改进ConvNeXt V2的岩石薄片岩性识别方法[J].石油地球物理勘探,2025,60(2):292-301,10.基金项目
本项研究受国家自然科学基金项目"页岩油藏脉动水力压裂缝网实时扩展AE演化机制分数阶方法研究"(52074088)、"页岩油层交替混合压裂诱导及竞争耦合造缝与参数调控机制研究"(52174022)和黑龙江省博士后科研启动项目"古龙页岩油层压裂缝网声发射演化机制研究"(LBH-Q21086)及黑龙江省"揭榜挂帅"科技攻关项目"古龙页岩油油藏工程理论、CO2提产机理及合理排采制度研究"(DQYT-2022-JS-758)联合资助. （52074088）
