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三分量地震在薄互层油气藏勘探中的应用(英文)

Three-component seismic data in thin interbedded reservoir exploration

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【作者】 张丽艳王彦春裴江云

【Author】 Zhang Li-Yan;Wang Yan-Chun;Pei Jiang-Yun;Geodetection and Information Technology Institute, China University of Geosciences;Key Laboratory of Earth Prospecting and Information Technology, China University of Geosciences;Exploration and development Research Institute of Daqing oil field Company P.R.;

【机构】 中国地质大学(北京)地球物理与信息技术学院中国地质大学(北京)地球探测与信息技术重点实验室大庆油田有限责任公司勘探开发研究院

【摘要】 本文是三分量地震在陆相薄互层地震勘探中应用成功的首例。大庆长垣喇嘛甸油田处于高含水开发后期,储层预测的主要难题是密井网条件下厚度2m以上砂体的边界识别问题,常规单一纵波地震解释存在多解性,引入横波信息可增加地震解释的可靠性。本文根据纵、横波对气藏的响应特征,利用纵、横波联合振幅属性、分频属性对气藏进行了分析,能够很好地反应气藏的边界,体现了横波受流体影响较小的优势。通过测井曲线岩石物理定量的分析了该地区主要是密度、λρ和μρ三种物性参数能够很好地反映储层岩性变化。在以地震数据分频为核心的高精度地震参考标准层解释基础上利用纵、横波联合反演得出的纵、横波速度比、λρ、μρ等属性与测井解释的储层具有很好的一致性,多波属性λρ沿层切片描述了开发小层的砂体平面展布,与井砂岩图具有较高的一致性,刻画了井间砂体边界变化的细节,并指示了剩余油挖潜的有利区域。

【Abstract】 We present the first successful application of three-component seismic data to thin interbedded reservoir characterization in the Daqing placanticline of the LMD oilfield. The oilfield has reached the final high water cut stage and the principal problem is how to recognize the boundaries of sand layers that are thicker than 2 m. Conventional interpretation of single PP-wave seismic data results in multiple solutions, whereas the introduction of PS-wave enhances the reliability of interpretation. We analyze the gas reservoir characteristics by joint PP- and PS-waves, and use the amplitude and frequency decomposition attributes to delineate the gas reservoir boundaries because of the minimal effect of fl uids on S-wave. We perform joint inversion of PP- and PS-waves to obtain V P/V S, λρ, and μρ and map the lithology changes by using density, λρ, and μρ. The 3D–3C attribute λρ slices describe the sand layers distribution, while considering the well log data, and point to favorable region for tapping the remaining oil.

【基金】 sponsored by the China Postdoctoral Science Foundation Projects(2014M550779)
  • 【文献出处】 Applied Geophysics ,应用地球物理(英文版) , 编辑部邮箱 ,2015年01期
  • 【分类号】P631.4;P618.13
  • 【被引频次】3
  • 【下载频次】57
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