Study on Well Logging Technology with Methods of Evaluating Gas Content of Coal-Bed Methane Reservoir

Abstract:

In this study, the well logging response of CBM reservoir have been analyzed, and discussing the factors that affect the gas content of coal seam. The well logging technology has been employed in connection with log data and gas content. Take one oilfield’s well logging data for example, statistical analysis method and Langmuir equation method are selected to calculate the gas content of one coal seam, the two calculated results are basically the same, the highest value are about 26 cm³/g, is a high-yield coal seam.

• Periodical: Advanced Materials Research (Volume 1003)
• Pages: 183-187
• DOI: https://doi.org/10.4028/www.scientific.net/AMR.1003.183
• Online since: July 2014
• Authors: Huai Jie Yang*, He Ping Pan
• Keywords: CBM, Gas Content, Statistical Analysis Method, Well Logging

References

[1] Xuehai Fu, Yong Qin, Geoff G.X. Wang, et al. Evaluation of gas content of coalbed methane reservoirs with the aid of geophysical logging technology. Fuel. Forum Vol. 2269-2277 (2009), p.88.

DOI: 10.1016/j.fuel.2009.06.003

[2] Hui Liu, Shuxun Sang, Geoff G.X. Wang, et al. Evaluation of the synergetic gas-enrichment and higher-permeability regions for coalbed methane recovery with a fuzzy model. Fuel. Forum Vol. 426-439(2012), p.39.

DOI: 10.1016/j.energy.2011.12.027

[3] Rima Chatterjee, Suman Paul. Classification of coal seams for coal bed methane exploitation in central part of Jharia coalfield, India – A statistical approach. Fue. Forum Vol. 20-29(2013), p.1111.

DOI: 10.1016/j.fuel.2013.04.007

[4] J. Hou. Evaluation of coalbed methane reservoirs from geophysical log data using an improved fuzzy comprehensive decision method and a homologous neural network. Geophysical Prospecting. Forum Vol. 453-462(2002), p.50.

DOI: 10.1046/j.1365-2478.2002.00334.x

[5] Xuehai Fu, Yong Qin, Geoff G.X. Wang, et al. Evaluation of coal structure and permeability with the aid of geophysical technology. Fuel. Forum Vol. 2278-2285(2009), p.88.

DOI: 10.1016/j.fuel.2009.05.018

[6] Ren-Shi Nie, Ying-Feng Meng, Jian-Chun Guo, et al. Modeling transit flow behavior of a horizontal in a coal seam. International Journal of Coal Geology. Forum Vol. 54-68(2012), p.92.

DOI: 10.1016/j.coal.2011.12.005

[7] Thomas Gentzis, Dale Bolen. The use of numerical simulation in predicting coalbed methane producibility from the Gates coals, Alberta Inner Footills, Canada: Comparison with Mannville coal CBM production in the Alberta Syncline. International Journal of Coal Geology. Forum Vol. 215-236(2008).

DOI: 10.1016/j.coal.2007.12.003

[8] Pan Heping. Evaluation coal-bed methane reservoir with log data. Nature gasine. Forum Vol. 48-51(2005), p.25.

[9] Pan Heping, Liu Guoqiang. Applying back-propagation artificial neural network to predict coal quality parameters and coal-bed gas content. Earth Science. Forum Vol. 210-214(1997), p.22.