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

   

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

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

CLC Number: