首页 | 本学科首页   官方微博 | 高级检索  
     

三塘湖油田湖218地区地震多属性与地震相在沉积相预测中的应用
引用本文:徐君,张美,谢军,胡勇. 三塘湖油田湖218地区地震多属性与地震相在沉积相预测中的应用[J]. 河北工程大学学报(自然科学版), 2023, 40(4): 95-105
作者姓名:徐君  张美  谢军  胡勇
作者单位:中国石油天然气集团有限公司吐哈油田分公司, 新疆 哈密 839009;油气地球化学与环境湖北省重点实验室长江大学 油气地球化学与环境湖北省重点实验室, 湖北 武汉 430100
基金项目:国家自然科学基金资助项目(52174019)
摘    要:三塘湖油田湖218区块西山窑组地震反演以及单一地震属性储层预测效果差,砂体展布规律认识不清,制约着油田的开发效果。针对研究区储层预测现状,采取三步走的策略实现了三角洲储层的有效预测:首先分析地震属性与砂地比的关系,优选相关性较高的地震属性,通过多属性拟合得到砂地比展布图,明确沉积相宏观边界特征;其次分析各井沉积微相与地震波形的关系,建立6种典型的地震相识别图版;最后结合宏观边界特征与沉积微相地震识别图版绘制研究区沉积微相分布图。结果表明,采用地震多属性拟合与地震相相结合的方法可从宏观和微观两个层次体现沉积微相的展布特征。

关 键 词:湖218区块  地震相  地震属性  沉积相
收稿时间:2023-03-10

Application of Seismic Multi Attributes and Seismic Facies in Sedimentary Facies Prediction in Hu 218 Area of Santanghu Oilfield
XU Jun,ZHANG Mei,XIE Jun,HU Yong. Application of Seismic Multi Attributes and Seismic Facies in Sedimentary Facies Prediction in Hu 218 Area of Santanghu Oilfield[J]. Journal of Hebei University of Engineering(Natural Science Edition), 2023, 40(4): 95-105
Authors:XU Jun  ZHANG Mei  XIE Jun  HU Yong
Affiliation:CNPC Tuha Oilfield Branch, Hami, Xinjiang 839009, China; Hubei Key Laboratory of Petroleum Geochemistry and Environment, Yangtze University, Wuhan, Hubei 430100, China
Abstract:The seismic inversion and single seismic attribute reservoir prediction of Xishanyao Formation in Hu218 of Santanghu Oilfield have poor results, and the understanding of sand body distribution patterns is unclear, which restricts the development effect of the oilfield. In response to the current situation of reservoir prediction in the research area, a three-step strategy was adopted to achieve effective prediction of delta reservoirs. Firstly, the relationship between seismic attributes and sand to ground ratio was analyzed, and seismic attributes with high correlation were selected. The sand to ground ratio distribution map was obtained through multi-attribute fitting, clarifying the macroscopic boundary characteristics of sedimentary facies; Secondly, analyze the relationship between sedimentary microfacies and seismic waveforms in each well, and establish six typical seismic facies identification charts; Finally, a distribution map of sedimentary microfacies in the study area is drawn by combining macroscopic boundary characteristics with seismic identification diagrams of sedimentary microfacies. The results indicate that the combination of seismic multi-attribute fitting and seismic analysis can reflect the distribution characteristics of sedimentary microfacies from both macro and micro levels.
Keywords:Hu218 block  seismic facies  seismic attributes  sedimentary facies
点击此处可从《河北工程大学学报(自然科学版)》浏览原始摘要信息
点击此处可从《河北工程大学学报(自然科学版)》下载全文
设为首页 | 免责声明 | 关于勤云 | 加入收藏

Copyright©北京勤云科技发展有限公司  京ICP备09084417号