地震波形指示反演在东营凹陷王家岗地区沙四上亚段滩坝砂的应用

以东营凹陷王家岗沙四上亚段滩坝砂为例,在层序地层格架建立的基础上,利用沉积学原理,基于贝叶斯理论将地震、测井和地质统计学信息融合为地层模型参数的后验概率分布,采用Metropolis-Hastings抽样算法对后验概率分布随机抽样,获得反演解,从而预测有利滩坝相带。结果表明：东营凹陷王家岗地区沙四上亚段低位域发育滩坝砂,其中准层序组2沉积时期以坝砂为主,砂体厚且横向分布稳定,而准层序组1和准层序组3沉积时期滩砂和坝砂间互发育,砂体厚度相对较小;湖侵域和高位域主要发育碳酸盐岩滩坝,滩坝砂零星状分布。该方法体现了相控的思想,预测结果更符合地质规律,在东营凹陷沙四上亚段滩坝储层预测中取得了较好的效果...

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Published in中国石油大学学报（自然科学版） Vol. 41; no. 2; pp. 60 - 69
Main Author 韩长城 林承焰 任丽华 马存飞 魏婷 张宪国 孙志峰
Format Journal Article
LanguageChinese
Published 山东省油藏地质重点实验室,山东青岛266580%中国石油新疆油田分公司石西油田作业区,新疆克拉玛依,834000 2017
中国石油大学球科学与技术学院,山东青岛,266580%中国石油大学球科学与技术学院,山东青岛266580
Subjects
沙四上亚段
波形指示反演
滩坝砂
贝叶斯理论
沙四上亚段
滩坝砂
波形指示反演
upper part of the fourth member of Shahejie Formation(Es4s)
贝叶斯理论
Bayesian theory
beach-bar sand
waveform indication inversion
Online AccessGet full text
ISSN1673-5005
DOI10.3969/j.issn.1673-5005.2017.02.007

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Summary:以东营凹陷王家岗沙四上亚段滩坝砂为例,在层序地层格架建立的基础上,利用沉积学原理,基于贝叶斯理论将地震、测井和地质统计学信息融合为地层模型参数的后验概率分布,采用Metropolis-Hastings抽样算法对后验概率分布随机抽样,获得反演解,从而预测有利滩坝相带。结果表明：东营凹陷王家岗地区沙四上亚段低位域发育滩坝砂,其中准层序组2沉积时期以坝砂为主,砂体厚且横向分布稳定,而准层序组1和准层序组3沉积时期滩砂和坝砂间互发育,砂体厚度相对较小;湖侵域和高位域主要发育碳酸盐岩滩坝,滩坝砂零星状分布。该方法体现了相控的思想,预测结果更符合地质规律,在东营凹陷沙四上亚段滩坝储层预测中取得了较好的效果,为同类型储层预测提供了有利支持。
Bibliography:HAN Changcheng1,LIN Chengyan1,2,REN Lihua1,2,MA Cunfei1,WEI Ting3,ZHANG Xianguo1,2,SUN Zhifeng1（1. School of Geosciences in China University of Petroleum,Qingdao 266580,China;2. Key Laboratory of Reservoir Geology in Shandong Province,Qingdao 266580,China;3. Shixi Oil Production Plant,Xinjiang Oilfield Company, PetroChina,Karamay 834000,China）
waveform indication inversion; Bayesian theory; upper part of the fourth member of Shahejie Formation（ Es,）; beach-bar sand
The focus of the paper is the upper part of the fourth member of Shahejie Formation （Es4） in Wangjiagang area, Dongying Depression. Based on Bayesian theory,a posterior probability density function of subsurface models w,as developed by establishing sequence stratigraphy framewok,integrating the principles of sedimentology and information from seismic,well logs and geostatistics. The Metropolis-Hastings algorithm was applied to obtain an exhaustive characterization of the posterior probability density to predict the favorable beach-bar sedimentary fa
ISSN:1673-5005
DOI:10.3969/j.issn.1673-5005.2017.02.007