油气地质与采收率2025，Vol.32Issue(6)：65-76,12.DOI:10.13673/j.pgre.202405054
基于深度学习和形态学的分支河流体系河道识别与参数提取方法
Distributive fluvial system river identification and parameter extraction method based on deep learning and morphology
摘要
Abstract
Studying DFS river parameters has become crucial for predicting oil and gas reservoirs and guaranteeing geological work since the concept of distributive fluvial systems(DFS)was introduced.However,manual measurement methods are time-consuming and labor-intensive.To automatically extract,study,and characterize DFS river parameters,this paper proposed a distributive fluvial system river identification and parameter extraction method based on deep learning and morphology.First,a network model,Seg_ASPP,integrating Segformer and ASPP,was proposed for generating river network masks.Subsequently,the cumulative cost and polynomial fitting algorithms were used to extract the river mask centerline,and a scheme was designed to extract the DFS river length,width,and curvature based on the mask centerline.Finally,the DFS area in the Golmud region of the Qaidam Basin was selected as the experimental area,and multiple deep learning models were used to predict DFS rivers.The accuracy of the masks extracted by the Seg_ASPP network model was compared and evaluated.The automatically extracted parameter values obtained using this method were compared with manually measured actual values,showing average relative errors of 10.22%,13.57%,and 5.41%for length,width,and curvature,respectively.The DFS river fan in the Golmud experimental area was quantitatively characterized by the grid method.According to the different changes in the distance of the parameters from the vertex,the DFS was divided into braided river sections,braided and meandering sections,and low-bend river sections.关键词
遥感/语义分割/分支河流体系/深度学习/参数提取Key words
remote sensing/semantic segmentation/distributive fluvial system/deep learning/parameter extraction分类
能源科技引用本文复制引用
叶茂林,王庆,张昌民,秦声炟..基于深度学习和形态学的分支河流体系河道识别与参数提取方法[J].油气地质与采收率,2025,32(6):65-76,12.基金项目
国家自然科学基金项目"分支河流体系沉积模式与储层定量预测模型"(42130813). （42130813）
