石油勘探与开发2025，Vol.52Issue(2)：488-498,11.DOI:10.11698/PED.20240645
基于视觉大模型的砂岩岩石结构智能评价方法
Intelligent evaluation of sandstone rock structure based on a visual large model
摘要
Abstract
Existing sandstone rock structure evaluation methods rely on visual inspection,with low efficiency,semi-quantitative analysis of roundness,and inability to perform classified statistics in grain size analysis.This study presents an intelligent evaluation method for sandstone rock structure based on the Segment Anything Model(SAM).By developing a lightweight SAM fine-tuning method with rank-decomposition matrix adapters,a multispectral rock particle segmentation model named CoreSAM is constructed,which achieves rock particle edge extraction and type identification.Building upon this,we propose a comprehensive quantitative evaluation system for rock structure,assessing parameters including grain size,sorting,roundness,particle contact and cementation types.The experimental results demonstrate that CoreSAM outperforms existing methods in rock particle segmentation accuracy while showing excellent generalization across different image types such as CT scans and core photographs.The proposed method enables full-sample,classified grain size analysis and quantitative characterization of parameters like roundness,advancing reservoir evaluation towards more precise,quantitative,intuitive,and comprehensive development.关键词
砂岩/岩石结构/智能评价/视觉大模型(SAM)/微调/颗粒边缘提取/类型识别Key words
sandstone/rock structure/intelligent evaluation/Segment Anything Model/fine-tuning/particle edge extraction/type identification分类
能源科技引用本文复制引用
任义丽,郑紫路,胡蕙滢,杨艳宁,惠芳,曾昌民,李欣,刘茜,胡延旭,苏乾潇,王孝明,林志威,周屹霄..基于视觉大模型的砂岩岩石结构智能评价方法[J].石油勘探与开发,2025,52(2):488-498,11.基金项目
国家自然科学基金面上项目"知识与数据融合的油气储层薄片智能鉴定方法"(42372175) （42372175）
国家自然科学基金卓越研究群体项目"数字经济时代的资源环境管理理论与应用"(72088101) （72088101）
中国石油天然气股份有限公司科技项目"油气勘探开发人工智能关键技术研究"(2023DJ84) （2023DJ84）
中国石油-北京大学战略合作协议基础研究合作项目 （）
