新疆石油地质

›› 2016, Vol. 37 ›› Issue (2): 1-1.doi: 10.7657/XJPG20160218

• 论文 •    

煤层含气量定量预测技术及应用

邵林海1，2，徐礼贵2，李星涛3，张雷2，霍丽娜2，丁清香2   

  1. (1.西北大学 大陆动力学国家重点实验室,西安 710069; 2.中国石油集团 东方地球物理公司,河北 涿州 072750;3.中石油煤层气有限责任公司 勘探开发研究院,北京 100095)
  • 出版日期:2019-01-01 发布日期:1905-07-13

Quantitative Prediction of Coalbed Gas Content: Technique and Application

SHAO Linhai1,2, XU Ligui2, LI Xingtao3, ZHANG Lei2, HUO Lina2, DING Qingxiang2   

  1. (1.State Key Laboratory of Continental Dynamics, Northwest University, Xin, Shaanxi 710069, China; 2.Data Processing Center, GRI,BGP, CNPC, Zhuozhou, Hebei 072750, China; 3.Research Institute of Exploration and Development, PetroChina Coalbed Methane Co.,Ltd, Beijing 100095, China)
  • Online:2019-01-01 Published:1905-07-13

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摘要： 以鄂尔多斯盆地东缘北部保德南地区为例，通过煤层测井资料交会图分析、煤岩心实测含气量数据和测井数据的研究，得到煤层密度与含气量相关性高的敏感参数及其关系式。结合三维地震研究成果，用叠前同时反演技术得到密度数据体和煤层密度属性，对煤层含气量横向展布规律进行定量预测。将煤层含气量定量预测技术应用于鄂尔多斯盆地东缘北部保德南地区，为煤层气有利区评价和井位部署提供了依据。

Abstract: Coalbed gas content is one of important parameters for coalbed methane (CBM) resource estimation, favorable area evaluation and well deployment. It is related to many factors and difficult to predict. This paper focuses on Baode south survey in the north of the eastern Ordos basin. According to the cross plot of logging data and real gas content of coal core, the density of coal bed is the most relevant factor of gas content, and the relationship between them is derived. Combined with the research of 3D seismic data, the density data and the coal density attribute are obtained by pre?stack simultaneous inversion, and then the lateral distribution of coalbed gas content is predicted quantitatively. The technique applied in the Baode south survey in the north of the eastern Ordos basin for quantitative coalbed gas content prediction can support the research of the coalbed gas content for the favorable area evaluation and the well deployment

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