《Natural Gas and Oil》

News

Source Journal for Chinese S&T Papers and Citation2014/9/27
Announcement for Academic Dishonorable Behaviors2014/5/23

more>>

Internet Workstation

Edition and Publication

Edition and Publication:
< Natural Gas and Oil > Editorial Department
Hosted by:
China Petroleum Engineering & Construction Corporation Southwest Company
Authorized by:
China Petroleum Engineering & Construction Corporation
Co-hosted by:
Overseas Research Center of Research Institute of Petroleum Exploration and Development
Editor in Chief:
Du Tonglin
Vice Editor in Chief:
Tang Xiaoyong,Pu Liming
Address:
No.6, Shenghua Road, High-tech District, Chengdu, Sichuan, China
Postal Code:
610041
Tel:
028-86014709
028-86014500
Email:
cnpc-ngo@cnpc.com.cn
Issue:ISSN 1006-5539
CN 51-1183/TE

Links

Your Position ：Home->Past Journals Catalog->2012 Vol.6

View Full-text

Productivity Prediction Model of Coalbed Methane Well Considering Nonsteady-state Diffusion

Author of the article:

Author's Workplace：

Key Words：Coalbed methane （CBM）； Adsorption； Diffusion； Seepage equation； Productivity prediction； Laplace transform

Abstract：In order to accurately predict coalbed methane （CBM） well productivity， it is necessary to make clear the mechanism of coalbed methane migration output. Considered fully are adsorption and desorption characteristics of coalbed methane different from any conventional gas reservoir， analyzed are accumulation， migration and output process of coalbed methane， used respectively are Langmuir isothermal adsorption law and Fick's second law to describe coalbed methane desorption and diffusion process. Established is a mathematical model for coalbed methane migration and output according to seepage differential equation of conventional gas reservoir migration and output and considering desorption and diffusion process， applied are such mathematic method as dimensionless transformation and Laplace transformation to obtain analytical solution of the model and calculation results are given by numerical inversion method in combination with examples and the results show that the model has a certain field application significance.