新疆石油地质 ›› 2006, Vol. 27 ›› Issue (4): 478-480.

• 应用技术 • 上一篇    下一篇

均值为“零”的曲线重构技术在地震反演中的应用

罗权生1,2, 赵铭2, 张晓菊2, 杲先进2, 邵建萍2   

  1. 1.中国地质大学, 武汉 430074;
    2.中国石油 吐哈油田分公司 勘探开发研究院, 新疆 哈密 839009
  • 收稿日期:2005-11-07 修回日期:2005-12-26 出版日期:2006-08-01 发布日期:2020-10-19
  • 作者简介:罗权生(1967-), 男,甘肃秦安人, 高级工程师, 在读博士研究生, 石油地质,(Tel) 0902-2766174(E-mail) lqs2765200@163.com.

Application of Zero Mean-Based Curve Reconstruction to Seismic Inversion

LUO Quan-sheng1,2, ZHAO Ming2, ZHANG Xiao-ju2, GAO Xian-jin2, SHAO Jian-ping2   

  1. 1. China University of Geosciences, Wuhan, Hubei 430074, China;
    2. Research Institute of Exploration and Development, Tuha Oilfield Company, PetroChina, Hami, Xinjiang 839009, China
  • Received:2005-11-07 Revised:2005-12-26 Online:2006-08-01 Published:2020-10-19

摘要: 在储集层与非储集层的声波曲线没有明显差异的地区内,利用波阻抗反演技术进行储集层预测比较困难,应用曲线重构技术则可获得明显的地质效果。传统的曲线重构技术改变了原有的时—深关系,反演后的层位与原地震层位存在较大误差,通过在目的层实现特征曲线均值为零的特殊手段进行特征曲线重构,既反映目的层岩性变化,又较好地保留了原始曲线代表的实际地质特征,较好地解决了曲线重构中存在的问题,提高了测井约束反演的可靠性。在葡萄沟地区的应用中,重构前、后合成地震记录的对比表明,只是波组特征有所变化,而时—深对应关系基本没有改变,在该地区准确地预测了七克台组4个砂组的平面变化,与地质认识吻合,证实了方法的可行性,值得进一步推广应用。

关键词: 储集层预测, 特征测井曲线重构, 测井约束反演

Abstract: It is difficult to predict reservoir with wave impedance inversion in areas where the sonic seismogram has no distinct differences between reservoir layers and non-reservoir layers. Curve reconstruction is used in the areas and obvious effects could be obtained. Since the traditional curve reconstruction method changes the original time-depth chart, horizons after inversion have fairly big errors with the original seismic horizons. To reconstruct type curves with a special approach, which makes the mean values of the type curves equal zero, can not only reveal the lithological changes of the targets, but also remain the actual geologic features represented by the original curves. Hence problems occurred in curve reconstruction can be well solved and the reliability of constrained log inversion be improved. The application of this technique in Putaogou region shows that the areal changes of four sand layers of Qiketai formation can be properly predicted in accordance with the geologic understandings.

Key words: reservoir prediction, well log, type curve reconstruction, constrained log inversion

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