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砂泥岩薄互储层地震预测技术应用研究

Application of Seismic Reservoir Prediction Technology in Thin Interbed of Sand and Mud

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【作者】 张玲彦谢建荣秦凤启王孟华袁炳芳陈洪芝马红岩

【Author】 ZHANG Ling-yan(Yangtze University,Wuhan 430100;Geophysical Exploration Research Institute,Huabei Oilfield Company,PetroChina,Renqiu 062552) XIE Jian-rong,QIN Feng-qi,WANG Men-hua,YUAN Bin-fang,CHEN Hong-zhi,MA Hong-yan(Geophysical Exploration Research Institute,Huabei Oilfield Company,PetroChina,Renqiu 062552)

【机构】 长江大学地球物理与石油资源学院中石油华北油田分公司地球物理勘探研究院

【摘要】 砂泥薄互储层是陆相断陷湖盆常见的沉积岩叠加模式。由于单砂层薄、岩性变化快,薄储层岩石物理参数不明显,并受到复杂断裂影响和地震资料纵向分辨率限制,使得纵向识别薄砂层及横向预测砂体展布规律难度加大。以饶阳凹陷大王庄地区为例,基于层序地层学的多信息相控储层预测思路,采用高精度拟声波反演技术与频谱成像等技术相结合的方法,融合测井高纵向分辨率及地震高横向分辨率来提高砂泥薄互储层地震预测的可信程度,为岩性油气藏的勘探开发提供可靠依据。经过钻井验证,预测结果取得了较好的效果,可为其他地区的砂泥薄互储层地震预测提供借鉴。

【Abstract】 Thin sand and mud interbedding is an ordinary sedimentary overlaying pattern in the land facies fault lake basin.Because of single thin sandstone and fast lithological change,the petrophysical parameter of thin reservoir is not obvious,which is affected by the complex fauliting and restricted by the vertical resolution of seismic data.This makes it more and more difficulty for vertical identification of thin sand layer and prediction of the spreading regularity for sand bodies.As an example of the area of Dawangzhuang in the Raoyang Depression,to provide a reliable base for the exploration and development of lithologic reservoirs,based on the thought of the facies-controlled reservoir predicition for much information of sequence stratigraphy,the seismic prediction credibility of the sand shale interbedding is raised by combining high precision quasi-acoustic inversion technology with spectrum imaging technique,and the integration of high vertical resolution of logging as well as high transversal resolution of seismic.The prediction results have good effect by drilling verification,It provides reference for thin interbed of sand and shale in other areas.

【基金】 中国石油天然气集团公司“十二五”科技滚动计划项目(2011D-3806)
  • 【文献出处】 长江大学学报(自科版) ,Journal of Yangtze University(Natural Science Edition) , 编辑部邮箱 ,2013年16期
  • 【分类号】P631.4;P618.13
  • 【被引频次】1
  • 【下载频次】148
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