基于时变分频反褶积与地震多属性融合方法的碳酸盐岩储层预测  

Carbonate reservoir prediction based on time-varying frequency deconvolution and seismic multi-attribute fusion method

作　　者：孙华军 李琼[1,3] 何建军[2] SUN Huajun;LI Qiong;HE Jianjun(Chengdu University of Technology,College of Geophysics,Chengdu 610059,China;Chengdu University of Technology,College of Information Science&Technology(College of Cybersecurity,Oxford Brookes University),Chengdu 610059,China;Chengdu University of Technology,Key Laboratory of Earth Exploration and Information Technology of Ministry of Education,Chengdu 610059,China)

机构地区：[1]成都理工大学地球物理学院,成都610059 [2]成都理工大学信息科学与技术学院(网络安全学院、牛津布鲁克斯学院),成都610059 [3]成都理工大学地球勘探与信息技术教育部重点实验室,成都610059

出　　处：《物探化探计算技术》2022年第2期136-143,共8页Computing Techniques For Geophysical and Geochemical Exploration

基　　金：国家自然科学基金(41274129);2018年中央支持地方共建学科经费(80000-18Z0140504);2019年高校共建与发展——地物(80000-19Z0204)。

摘　　要：地震资料分辨率的提高能更好地识别储层地震响应特征,能更精确对复杂储层进行储层预测研究。地震属性分析技术作为储层识别和储层描述的方法之一,其种类繁多且意义不尽相同,单一的地震属性对实际地层特点的反应往往是不确定、不完整的,为此结合地震多属性分析,利用RGB属性融合方法提高储层预测的准确性。这里首先用时变分频反褶积方法提高地震资料的分辨率,在此基础上优选曲率属性、60 Hz的单频相干属性、均方根振幅属性进行RGB属性融合,根据融合结果对致密碳酸盐岩储层进行精细刻画,最后结合已钻井位确定有效储层展布特征。The improvement of seismic data resolution can better identify the characteristics of reservoir seismic response and more accurately predict the complex reservoir.As one of the methods of reservoir identification and reservoir description,seismic attribute analysis technology has many kinds and different meanings.The response of single seismic attribute to the actual formation characteristics is often uncertain and incomplete.Therefore,combining with seismic multi-attribute analysis,the method of RGB attribute fusion is used to improve the accuracy of reservoir prediction.This paper use the time-varying crossover deconvolution method improve the resolution of seismic data,based on the optimization of curvature attribute,60 Hz single frequency coherent,root-mean-square amplitude attribute to RGB attribute fusion,according to the result of fusion to describe dense carbonate reservoir,finally combining has drilling bits to determine the effective reservoir distribution characteristics.

关 键 词：反褶积 地震属性 RGB融合 致密碳酸盐岩 储层预测 

分 类 号：P631.4[天文地球—地质矿产勘探]