西南石油大学学报(自然科学版) ›› 2007, Vol. 29 ›› Issue (2): 89-91.DOI: 10.3863/j.issn.1000-2634.2007.02.024

• 地质勘探 • 上一篇    下一篇

致密碎屑岩裂缝视密度高分辨率非线性反演

吴朝容1 段文燊2 李正文1   

  1. (1.成都理工大学信息工程学院,四川 成都 610059;2.中国石化西南分公司,四川 成都 610081)
  • 收稿日期:2006-06-28 修回日期:1900-01-01 出版日期:2007-04-20 发布日期:2007-04-20
  • 通讯作者: 吴朝容

A HIGH RESOLUTION NONLIEAR INVERSION OF APPARENT DENSITY OF FRACTURE IN TIGHT CLASTIC ROCK

WU Chao-rong 1 DUAN Wen-shen 2 LI Zheng-wen 1.

  

  1. (Chengdu University of Science and Technology,Chengdu Sichuan 61005,China)
  • Received:2006-06-28 Revised:1900-01-01 Online:2007-04-20 Published:2007-04-20
  • Contact: WU Chao-rong

摘要: 针对致密碎屑岩油气藏裂缝预测的复杂性、多样性,提出了利用高分辨率自适应遗传神经网络技术进行速度反演,然后再利用成像测井资料获得裂缝视密度数据,进行视密度剖面反演的思路。以川西某气田须二段为例,在研究测井资料的基础上,以成像测井获得裂缝视密度资料应用自适应遗传神经网络方法进行裂缝密度反演,得到裂缝视密度剖面。反演所得剖面与实际情况具有较好的对应关系,是一种研究致密碎屑岩裂缝性气藏的有益尝试。

关键词: 致密碎屑岩, 气藏, 裂缝视密度, 高分辨率, 非线性反演

Abstract: Aimed at the complexity and diversity of the oil and gas reservoir in tight clastic rock, the authors propose a method to inverse the apparent density of fracture, that is, first velocity is inversed using a hybrid method of genetic algorithms (GA) and neural network algorithms, then apparent density data of fracture gained from FMI, finally the GA method is used again to gain the apparent density profile of fracture. The 2nd member of Xujiahe formation of a gas reservoir in west Sichuan is taken as a case, on the base of logging analysis, the apparent density of fracture with nonlinear method is reversed using the FMI data, and the apparent density profile of fracture gained. The result has higher resolution and fit for the practice, it indicates that this method is an active try to predict fractured reservoir.

Key words: tight clastic rock, gas reservoir, apparent density of fracture, high resolution, nonlinear inversion

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