石油地质与工程2026，Vol.40Issue(3)：16-22,7.DOI:10.26976/j.cnki.sydz.202603003
多尺度数据融合在西湖凹陷河流相储层表征中的应用
Application of multi-scale data fusion in fluvial reservoir characterization of Xihu Sag
摘要
Abstract
Xihu Sag is characterized by strong heterogeneity of fluvial reservoirs,rapid lateral variation of sand bodies and complex vertical superposition patterns,which brings great challenges to fine reservoir characterization.The accuracy of geological modeling constrained by conventional 2D seismic planar attributes is generally insufficient and cannot meet the requirements of fine-scale block development.Therefore,a reservoir geological modeling method based on multi-scale data fusion is adopted to improve reservoir prediction accuracy.Firstly,waveform indication inversion technology is adopted to improve the resolution of seismic data and predict the spatial distribution of lithofacies at the seismic scale.On this basis,a multiple-point geostatistics method is applied.Combined with well point hard data,the advantages of logging and seismic data are integrated to further enhance the accuracy of reservoir prediction.This method solves the problem of multi-scale data fusion among logging,seismic and geological models,realizes the fine characterization of heterogeneity in complex fluvial reservoirs of Gas Field A,provides reliable support for subsequent well placement,and offers a useful reference for the fine description of fluvial reservoirs in other areas.关键词
非均质性/多尺度数据/波形指示反演/多点地质统计学/数据融合Key words
heterogeneity/multi-scale data/waveform-indicated inversion/multi-point geostatistics/data fusion分类
能源科技引用本文复制引用
丁芳,段冬平,宋刚祥,王伟,程超..多尺度数据融合在西湖凹陷河流相储层表征中的应用[J].石油地质与工程,2026,40(3):16-22,7.基金项目
中海石油(中国)有限公司重大科技专项"东海低渗大气田高效开发关键技术研究与示范应用"(KJZX-2024-0102). （中国）
