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Abstract
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Article Information:
Prediction of Coalbed Methane Well Production by Analytical Method
Tingting Jiang, Xiujuan Yang, Xiangzhen Yan, Yunhong Ding, Xin Wang and Tongtao Wang
Corresponding Author: Xiujuan Yang
Submitted: March 30, 2012
Accepted: April 18, 2012
Published: August 15, 2012 |
Abstract:
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The motive of the study is to propose a water-gas two-phase flow model to depict the characteristics
of Coalbed Methane (CBM) transporting in the unsaturated coalbed and predict the production of CBM well.
The proposed model is established based on Buckley-Leverett equation. The calculating equations of daily gas
and water production of CBM well are derived from the proposed model. A program is achieved based on the
equations and an actual CBM well is simulated as an example. The simulated results are verified by the actual
site monitoring values. Moreover, the effects of permeability, porosity, well control radius, coalbed thickness
and coal-rock matrix radius on the daily gas production and cumulative gas production of CBM well are
studied. The comprehensive results address that the equations of daily gas production and cumulative gas
production are good agreement with the monitoring values. Daily gas production increases with increasing
permeability. Greater porosity means higher initial and stable daily gas production. Appropriate increase of the
well control radius can improve the initial and stable daily gas production. However, when the well control
radius reaches a critical value, it has no effect on the daily gas production. The initial gas production increases
greatly with increasing coalbed thickness and matrix radius.
Key words: Buckley-Leverett equation, coalbed methane, production prediction, sensitivity analysis, water-gas two-phase flow model, ,
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Cite this Reference:
Tingting Jiang, Xiujuan Yang, Xiangzhen Yan, Yunhong Ding, Xin Wang and Tongtao Wang, . Prediction of Coalbed Methane Well Production by Analytical Method. Research Journal of Applied Sciences, Engineering and Technology, (16): 2824-2830.
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ISSN (Online): 2040-7467
ISSN (Print): 2040-7459 |
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