首页 | 本学科首页   官方微博 | 高级检索  
     

地震资料气水识别方法及其应用
引用本文:吴大奎,张本全,戴勇,程绪彬,朱心万,欧阳诚,徐明华,郑淑芬,唐龙逊. 地震资料气水识别方法及其应用[J]. 天然气工业, 2011, 31(12): 54-58. DOI: 10.3787/j.issn.1000-0976.2011.11.008
作者姓名:吴大奎  张本全  戴勇  程绪彬  朱心万  欧阳诚  徐明华  郑淑芬  唐龙逊
作者单位:1.川庆钻探工程公司地质勘探开发研究院;2.西南石油大学
摘    要:有效预测储层中流体的性质对油气勘探具有十分重要的意义。2008年之前研究了基于地震纵波勘探资料的泊松比气水预测方法,初步应用取得了一定效果,之后进一步完善了预测方法,又开展了广泛的应用研究,先后对川渝地区、苏里格地区多个构造的不同砂岩储层,以及川渝地区和国外的多个碳酸盐岩储层进行了预测,取得的认识和成果主要有:①储层测井泊松比在不同储层中具有稳定规律,对不同类型的储层具有一致性的判识模式,即含气储层泊松比低、含水储层泊松比较高,致密层或非储层泊松比更高;②所形成的预测方法能有效地识别气、气水及同含气水,预测结果符合率均较高,且分布规律与地质认识基本一致。以四川盆地为主的5个典型实例应用结果表明,该方法具有推广应用价值。

关 键 词:泊松比  地震资料  天然气    识别  方法  应用  四川盆地

Seismic identification methods for gas and water layers and their application
Wu Dakui,Zhang Benquan,Dai Yong,Cheng Xubin,Zhu Xinwan,Ou Yangcheng,Xu Minghua,Zheng Shufen,Tang Longxun. Seismic identification methods for gas and water layers and their application[J]. Natural Gas Industry, 2011, 31(12): 54-58. DOI: 10.3787/j.issn.1000-0976.2011.11.008
Authors:Wu Dakui  Zhang Benquan  Dai Yong  Cheng Xubin  Zhu Xinwan  Ou Yangcheng  Xu Minghua  Zheng Shufen  Tang Longxun
Affiliation:1.Geological Exploration and Development Research Institute, Chuanqing Drilling Engineering Co., Ltd., CNPC, Chengdu, Sichuan 610051, China; 2.Southwest Petroleum University, Chengdu, Sichuan 610051, China
Abstract:Accurate identification of fluids in reservoirs is of great significance to hydrocarbon exploration. Methods of identifying gas and water layers with Poisson's ratios based on P waves were developed before 2008. Their preliminary results of application are satisfactory. After that, the innovative prediction methods and extensive application studies have been used to predict several sandstone reservoirs in Sichuan, Chongqing and Sulige areas as well as several carbonate reservoirs in Sichuan and Chongqing areas and even some areas in foreign countries. The following understandings are obtained. First, logging Poisson's ratios of reservoirs show stable patterns of variation in different reservoirs, i.e. the Poisson ratio of a gas layer is relatively low, while that of a water layer is relatively high, and that of tight reservoirs and/or non reservoirs is even higher. Second, the prediction methods can effectively recognize layers with gas or water or both. The prediction results match well with the real data. Five typical case studies confirm their values of popularization and application.
Keywords:
本文献已被 CNKI 万方数据 等数据库收录!
点击此处可从《天然气工业》浏览原始摘要信息
点击此处可从《天然气工业》下载全文
设为首页 | 免责声明 | 关于勤云 | 加入收藏

Copyright©北京勤云科技发展有限公司  京ICP备09084417号