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基于时移地震资料的储层渗透率时变性研究
引用本文:郭奇,庄天琳,何书梅,李祯,魏朋朋,刘丽杰. 基于时移地震资料的储层渗透率时变性研究[J]. 石油地球物理勘探, 2022, 57(1): 176-183. DOI: 10.13810/j.cnki.issn.1000-7210.2022.01.019
作者姓名:郭奇  庄天琳  何书梅  李祯  魏朋朋  刘丽杰
作者单位:1. 中国石化胜利油田分公司勘探开发研究院, 山东东营 257015;2. 中国石化胜利石油管理局有限公司博士后科研工作站, 山东东营 257000;3. 中国石油大港油田公司勘探开发研究院, 天津 300280
基金项目:长江学者和创新团队发展计划基金项目“复杂油藏开发和提高采收率的理论与技术”(IRT1294)资助。
摘    要:油田进入高含水开发期后,预测储层渗透率参数是剩余油挖潜的关键.通常渗透率资料通过测井解释获得,然而受油藏开发和储层注水冲刷的影响,开发后期投产井的测井资料无法真实反映油藏原始状态的渗透率情况.利用不同含水阶段时移地震资料,提取并筛选地震属性,优选均方根振幅、反射强度、瞬时频率、振幅包络、主频五种时移地震属性构建数据集,...

关 键 词:时移地震  渗透率模型  储层参数时变  偏最小二乘回归  属性优选
收稿时间:2020-12-03

Study of time-varying reservoir permeability based on time-lapse seismic data
GUO Qi,ZHUANG Tianlin,HE Shumei,LI Zhen,WEI Pengpeng,LIU Lijie. Study of time-varying reservoir permeability based on time-lapse seismic data[J]. Oil Geophysical Prospecting, 2022, 57(1): 176-183. DOI: 10.13810/j.cnki.issn.1000-7210.2022.01.019
Authors:GUO Qi  ZHUANG Tianlin  HE Shumei  LI Zhen  WEI Pengpeng  LIU Lijie
Affiliation:1. Exploration and Development Research Institute, Shengli Oilfield Company, SINOPEC, Dong-ying, Shandong 257015, China;2. Working Station for Postdoctoral Scientific Research, Shengli Oilfield Company, SINOPEC, Dongying, Shandong 257000, China;3. Exploration and Development Research Institute, Dagang Oilfield Company, PetroChina, Tianjin 300280, China
Abstract:In the high-water-cut development stage,the prediction of reservoir permeability parameters is the key to tapping the potential of remaining oil.The conventional permeability data is obtained by logging interpretation.However,due to the influence of reservoir development and water injection,the logging data of production wells in the late development period cannot truly reflect the permeability of reservoirs in their original state.With the time-lapse seismic data of different water cut stages,seismic attributes are extracted and screened.As a result,five time-lapse seismic attributes are selected for the establishment of a data set,i.e.,rootmean-square amplitude,reflection intensity,instantaneous frequency,amplitude envelope and dominant frequency.The relationship between time-lapse seismic data and logging permeability data is built by apartial least squares regression model,and then the permeability of production wells in low-,high-and ultra-high-water-cut development stages is further predicted,which yields a three-stage permeability model for the whole area.The distribution of permeability change multiples is verified by tracer data.The results show that the permeability change trend in the well group is consistent with tracer data.The established reservoir permeability prediction method can objectively reflect the permeability changes caused by water injection.The new method provides a basis for reservoir parameter prediction in different development stages.
Keywords:time-lapse seismic  permeability model  time-varying reservoir parameters  partial least squares regression  attribute optimization
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