天然气勘探与开发2024，Vol.47Issue(4)：46-54,9.DOI:10.12055/gaskk.issn.1673-3177.2024.04.005
基于模型正演的地震属性优选与加权融合技术应用
Forward modeling-based seismic-attribute optimization and weighted attribute fu-sion:Application to predicting deep carbonate reservoirs,central Sichuan Basin
摘要
Abstract
With the burial depth ranging from 5,600 m to 7,000 m and well-developed reservoirs,the fourth member of Sinian Dengy-ing Formation in D1 well block,PL area,central Sichuan Basin,belongs to ultra-deep reservoirs.Seeking for the most favorable high-quality reservoirs in such ultra-deep strata even with a bit low seismic resolution has received great concerns in current explo-ration and development.Thus,based on such drilling data as reservoir thickness and extensional position,the forward modeling was conducted to identify reservoir response under geological conditions,and accordingly several seismic attributes containing absorption coefficient,waveform length,reflection intensity and instantaneous frequency were individually optimized to analyze the multi-attri-bute fusion,namely that the correlation of individual attribute to reservoir thickness was explored to fix on both number and weight coefficient in these attributes,and finally to clarify the fusion attributes in combination with the weighted sum.Results show that(i)the forward modeling may effectively guide attribute extraction and optimization,and avoid excessive extraction blindly;and(ii)com-pared with a single attribute,the fusion attributes have higher correlation with reservoir thickness,leading to an increasing accuracy in reservoir prediction.This process is time-saving in both extraction and screening of conventional attributes,and raises the accuracy to predict the attributes qualitatively.关键词
模型正演/地震属性/属性优选/融合属性/储层预测Key words
Forward modeling/Seismic attribute/Attribute optimization/Fusion attribute/Reservoir prediction引用本文复制引用
邹定永,邵佳,代瑞雪,杨晋蓉,许翔,马乾,吕文正,梅花浪雪..基于模型正演的地震属性优选与加权融合技术应用[J].天然气勘探与开发,2024,47(4):46-54,9.基金项目
中国石油集团公司攻关性应用性科技专项(编号:2023ZZ16). （编号:2023ZZ16）
