地球物理学进展 ›› 2019, Vol. 34 ›› Issue (6): 2508-2514.doi: 10.6038/pg2019CC0439

• 应用地球物理学Ⅱ(海洋、工程、环境、仪器等) • 上一篇    下一篇

基于广义S变换的分频反演在南海深水区油气勘探中的应用

王彬1, 3, 牛聪2, 李勇1, *, 黄饶2, 陈力鑫1, 叶云飞2   

  1. 1. 成都理工大学地球物理学院,成都 610059;
    2. 中海油研究总院有限公司,北京 100070;
    3. 青海省地震局,西宁 810001
  • 收稿日期:2019-02-28 修回日期:2019-08-17 出版日期:2019-12-20 发布日期:2019-12-29
  • 通讯作者: 李勇,男,1979年生,四川成都人,博士,副教授,主要研究方向为地震资料分析处理与解释.(E-mial:liyong07@cdut.cn)
  • 作者简介:王彬,男,1994 年生,青海海东人,硕士研究生,主要从事油气预测与评价的研究.(E-mail: 969822234@qq.com)
  • 基金资助:
    国家十三五重大专项“时频聚集流体识别方法研究”(2016ZX05026001-004) 资助.

Application of frequency division inversion based on generalized S transform in oil and gas exploration in deep water area of South China Sea

WANG Bin1, 3, NIU Cong2, LI Yong1, *, HUANG Rao2, CHEN Li-xin1, YE Yun-fei2   

  1. 1. College of Geophysics, Chengdu University of Technology, Chengdu 610059, China;
    2. CNOOC Research Institute, Beijing 100070, China;
    3. Qinghai Seismological Bureau, Xining 810001, China
  • Received:2019-02-28 Revised:2019-08-17 Online:2019-12-20 Published:2019-12-29

摘要: 通过建立地质模型寻找地震属性参数来预测含油气性的方法不断发展并取得了较好的效果.但是对于海相沉积环境下受构造控制的复合油气藏的研究,常规的油气预测方法存在局限性、多解性,还无法准确识别有效含气层,因此探索适合该地区的油气预测技术有着重大意义.为此本文首先对物性参数敏感性孔隙度及渗透率作了定量分析,依据分频数据体对流体信息的高灵敏度,利用改进的广义S变换结合AVF关系同时在井数据约束下对孔隙度和渗透率进行了分频反演,获得了孔隙度和渗透率反演剖面,准确有效地刻画了含气储层.实验证明,分频反演方法对南海深水区珠江组储层进行精细预测,克服了常规反演在少井无井区无法有效预测的问题,且分频反演预测油气结果比常规方法吻合度要高,提高了深水区油气勘探的精度.

关键词: 广义S变换, 分频反演, 渗透率, 孔隙度, 储层预测

Abstract: The method of predicting oil and gas bearing property by establishing geological model to find seismic attribute parameters has been gradually optimized and good results have been obtained. However, for the study of composite oil and gas reservoirs controlled by structures in marine sedimentary environment, the conventional oil and gas prediction methods have limitations and multiple solutions, and can not accurately identify effective gas reservoirs. Therefore, it is of great significance to explore the oil and gas prediction technology suitable for this area. In this paper, the porosity and permeability are quantitatively analyzed and the sensitivity of their physical parameters is determined, and then the high recognition degree of frequency division data volume to fluid information is determined and extracted. Using the improved generalized S transform combined with AVF relation, the porosity and permeability which are highly sensitive to oil and gas will be inversed by frequency division, and the frequency division results and inversion results will be constrained, which improves the progress of oil and gas prediction.The experiment proves that the frequency division inversion method makes a fine prediction of the Zhujiang Formation reservoir in the deep water area of the South China Sea, which overcomes the problem that the conventional inversion cannot be effectively predicted in the well-free area of the Shaojing, and The frequency division inversion predicts that the oil and gas results are more consistent than the conventional methods.

Key words: Generalized S transform, Frequency division inversion, Permeability, Porosity, Reservoir prediction

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