哈得逊油田东河砂岩油藏内部小断裂地震识别方法  

Minor fault identification in Donghe sandstone reservoirs,Hadson Oilfield

作　　者：凌东明 尹宁 张建伟 王青 姚仙洲 李相文 

机构地区：[1]中国石油大学(华东)地球科学与技术学院,山东青岛266580 [2]东方地球物理公司研究院库尔勒分院,新疆库尔勒841001

出　　处：《石油地球物理勘探》2017年第A01期141-145,共5页Oil Geophysical Prospecting

摘　　要：塔里木盆地哈得逊油田东河砂岩油藏迫切需要提高小断裂地震识别能力。本文针对该区储层埋藏深度大、地震资料信噪比低等因素,组合应用了GeoEast解释系统中的五个关键技术模块,梯次提升了地震识别小断裂的能力。一是采用带通滤波串接构造导向滤波的方式实现地震资料解释性处理,在提高地震资料信噪比的同时,得到了可用于研究小断裂的新数据体;二是基于新数据体,采用了目的层段振幅曲率属性和边缘检测结果的融合,实现了小断裂的精细识别与刻画;三是基于融合结果,采用边缘保护滤波技术增强了断裂中心的聚焦能力,提高了小断裂的横向分辨率。新识别出的小断裂,丰富了油藏认识,对进一步研究东河砂岩油藏内部的流体运移规律有重要的参考意义。Donghe sandstone reservoirs in Hadson Oilfield, Tarim Basin are characterized by deep burying and low signal-to-noise ratio(SNR) seismic data, which leads great difficulties for minor fault identification. To solve the problems, we try to improve minor fault identification with key modules provided by GeoEast. A. The band-pass filtering and structure-guided filtering are adopted as interpretive processing to obtain new data volume for minor faults investigation, which can also improve data SNR; B. Based on the new data volume, minor faults are identified and depicted by amplitude-curvature and edge detection; C. Based on the results,the edge-protection filtering is used to improve both the fault center focus and the minor fault lateral resolution. Our minor fault identification can broaden understanding of geological and fluid characteristics in Donghe sandstone reservoirs and provide an excellent basis for the future development deployment.

关 键 词：哈得逊油田 小断裂 解释性处理 振幅曲率属性 边缘保护滤波 

分 类 号：P631[天文地球—地质矿产勘探]