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International Petroleum Technology Conference
Abstract Deep coalbed methane (CBM) exploration presents unique challenges in reservoir characterization, particularly when dealing with thin coal seams. This study introduces a novel application of two-dimensional Convolutional Neural Network (2D CNN) based seismic impedance inversion for characterizing the No.
J. Li, J. Sun, H. Zhang, X. Sun
openaire +1 more source
Abstract Deep coalbed methane (CBM) exploration presents unique challenges in reservoir characterization, particularly when dealing with thin coal seams. This study introduces a novel application of two-dimensional Convolutional Neural Network (2D CNN) based seismic impedance inversion for characterizing the No.
J. Li, J. Sun, H. Zhang, X. Sun
openaire +1 more source
Exploration and Practice of CO2 Foam Fracturing in Deep CBM Development
Haoyang Che, Mingwei Bai, Quan Kouopenaire +1 more source
Research on comprehensive CBM extraction technology and its applications in China's coal mines
Journal of Natural Gas Science and Engineering, 2014Yuanping Cheng
exaly
New progress and future prospects of CBM exploration and development in China
International Journal of Mining Science and Technology, 2012Jian Yun, Ningning Zhong
exaly