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Volume 19 Issue 4
Aug 2008
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Article Contents
Yong-guo YANG, Yu-hua CHEN, Yong QIN, Qiu-ming CHENG. Monte-Carlo Method for Coalbed Methane Resource Assessment in Key Coal Mining Areas of China. Journal of Earth Science, 2008, 19(4): 429-435.
Citation: Yong-guo YANG, Yu-hua CHEN, Yong QIN, Qiu-ming CHENG. Monte-Carlo Method for Coalbed Methane Resource Assessment in Key Coal Mining Areas of China. Journal of Earth Science, 2008, 19(4): 429-435.

Monte-Carlo Method for Coalbed Methane Resource Assessment in Key Coal Mining Areas of China

Funds:

the National Natural Science Foundation of China 40730422

the Foundation of China University of Mining & Technology OF061003

State Key Laboratory of Geological Processes and Mineral Resources GPMR2007-11

More Information
  • Corresponding author: YANG Yong-guo, ygyang88@cumt.edu.cn
  • Received Date: 28 Mar 2008
  • Accepted Date: 09 May 2008
  • Monte-Carlo method is used for estimating coalbed methane (CBM) resources in key coal mining areas of China. Monte-Carlo method is shown to be superior to the traditional volumetric method with constant parameters in the calculation of CBM resources. The focus of the article is to introduce the main algorithm and the realization of functions estimated by Monte-Carlo method, including selection of parameters, determination of distribution function, generation of pseudo-random numbers, and evaluation of the parameters corresponding to pseudo-random numbers. A specified software on the basis of Monte-Carlo method is developed using Visual C++ for the assessment of the CBM resources. A case study shows that calculation results using Monte-Carlo method have smaller error range in comparison with those using volumetric method.

     

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  • Boyer, C. M. II, Bai, Q. Z., 1998. Methodology of Coalbed Methane Resource Assessment. International Journal of Coal Geology, 35: 349–368 doi: 10.1016/S0166-5162(97)00041-4
    Cortazar, G., Schwartz, E. S., 1998. Monte Carlo Evaluation Model of an Undeveloped Oil Field. Journal of Energy Finance and Development, 3(1): 73–84 doi: 10.1016/S1085-7443(99)80069-6
    Dhir, R., Dern, R. R., Mavor, M. J., 1991. Economic and Reserve Evaluation of Coalbed Methane Reservoirs. Journal of Petroleum Technology, 43(12): 1424–1431, 1518 doi: 10.2118/22024-PA
    Gabriel, A. C. L., Saul, B. S., 2006. Estimation of Volatility of Selected Oil Production Projects. Journal of Petroleum Science and Engineering, 54: 129–139 doi: 10.1016/j.petrol.2006.07.005
    Gentzis, T., 2006. Economic Coalbed Methane Production in the Canadian Foothills: Solving the Puzzle. International Journal of Coal Geology, 65: 79–92 doi: 10.1016/j.coal.2005.04.017
    Henry, M. E., Finn, T. M., 2003. Evaluation of Undiscovered Natural Gas in the Upper Cretaceous Ferron Coal/Wasatch Plateau Total Petroleum System, Wasatch Plateau and Castle Valley, Utah. International Journal of Coal Geology, 56: 3–37 doi: 10.1016/S0166-5162(03)00073-9
    Kirchgessner, D. A., Masemore, S. S., Piccot, S. D., 2002. Engineering and Economic Evaluation of Gas Recovery and Utilization Technologies at Selected US Mines. Environmental Science & Policy, 5: 397–409
    Li, H. F., 2004. The "New" Economy—The Development of Coalbed Methane Industry and Related Policy Recommendations. Coal Economic Research, 4: 8–9 (in Chinese)
    Lyons, P. C., 1998. The Central and Northern Appalachian Basin: A Frontier Region for Coalbed Methane Development. International Journal of Coal Geology, 38: 61–87 doi: 10.1016/S0166-5162(98)00033-0
    Qin, Y., Sang, S. X., Fu, X. X., et al., 2006. Potentials of CBM Resources in Key Coal Mining Areas in China and Some Theoretical Problems in Resources Evaluation. China Coalbed Methane, 3(4): 17–20 (in Chinese with English Abstract)
    Root, D. H., Menzie, W. D., III, Scott, W. A., 1992. Computer Monte Carlo Simulation in Quantitative Resources Estimation. Nonrenewable Resources, 1(1): 125–138
    Shi, G. R., 2003. Computer Application of New Technologies in Geology. Petroleum Industry Press, Beijing (in Chinese)
    Singer, D. A., 1993. Basic Concepts in Three-Part Quantitative Assessments of Undiscovered Mineral Resources. Nonrenewable Resources, 2: 69–81 doi: 10.1007/BF02272804
    Wang, X. Y., Liao, Z. S., Han, X. X., et al., 2002. Research on the Method of Monte Carlo for Assessing Geothermal Resources. Hydrogeology and Engineering Geology, 4: 10–13 (in Chinese with English Abstract)
    Xiao, B., Pan, M., Zhao, P. D., et al., 2001. The Application of the Mineral Quantitative Evaluation Methods to the Study of Igneous-Rock Uranium Resources. Mineral Deposits, 20(3): 285–291 (in Chinese with English Abstract)
    Zhao, P. D., 1987. Research New Progress on Mineral Resources Quantitative Prediction and Evaluation Model. Geological Science and Technology Information, 6(1): 1–6(in Chinese with English Abstract)
    Zhao, P. D., Hu, W., Li, Z., 1983. Deposit Statistical Projections. China University of Geosciences Press, Wuhan (in Chinese)
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