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Slowing the Onslaught and Forecasting Hope for Change: Litigation Efforts concerning the Environmental Impacts of Coalbed Methane Development in the Powder River Basin [PDF]

, 2007
Murphy, James
core   +2 more sources

Opportunities for underground geological storage of CO2 in New Zealand - Report CCS-08/3a - Waikato coal resource, reservoir modelling [PDF]

, 2009
Mares, T., Zarrouk, S.
core  

Comparison of pore characteristics in the coal and shale reservoirs of Taiyuan Formation, Qinshui Basin, China [PDF]

, 2016

core   +1 more source

Genetic Types and Gas Source Analysis of Jurassic Deep Coalbed Methane in Baijiahai Uplift, Junggar Basin

ACS Omega
Mengmeng Yang, Teng Li, Bing Luo, Zheyuan Ouyang, Chao Jia, Haichao Wang, Bin Sun, Hongmei Su, Yan Wang   +8 more
openaire   +2 more sources

Challenges and development direction of deep fragmented soft coalbed methane in China

Earth Energy Science
Yiyu Lu, Guilin Zhao, Zhaolong Ge, Yunzhong Jia, Jiren Tang, Tianyi Gong, Shan Huang, Zhongtan Li, Wenyu Fu, Jianyu Mi   +9 more
openaire   +1 more source

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Prediction of coalbed methane production based on deep learning

Energy, 2021
Coalbed methane (CBM) is a clean energy source. The prediction of CBM production is a critical step during CBM exploitation and utilization, especially for geological well selection, engineering decision making, and production management. In past attempts, CBM production prediction methods have been limited to numerical simulation and shallow neural ...
Zhenjiang You, Yongming Li, Zixi Guo, Zixi Guo, Jinzhou Zhao, Shu Zhang, Yiyu Chen   +6 more
openaire   +2 more sources

A Method for Evaluating the Methane Content of the Nanoscale Pores in Deep Coalbeds

Journal of Nanoscience and Nanotechnology, 2021
Since the sampling depth is large in deep coalbed methane wells, during the lifting process of coalbed cores, the core surface pressure drops nonlinearly with time, which is contradictory to the premise of the conventional United States Bureau of Mines (USBM) method and the Smith-Williams method.
Chunhua Guo, Hansen Sun, Xiang Wu, Wangang Chen, Yu Yang, Ping Yan   +5 more
openaire   +3 more sources

Coalbed methane content prediction using deep belief network

Interpretation, 2020
Accurate measurement of coalbed methane (CBM) content is the foundation for CBM resource exploration and development. Machine-learning techniques can help address CBM content prediction tasks. Due to the small amount of actual measurement data and the shallow model structure, however, the results from traditional machine-learning models have errors to ...
Fan Peng, Suping Peng, Wenfeng Du, Hongshuan Liu   +3 more
openaire   +2 more sources

Geological conditions of deep coalbed methane in the eastern margin of the Ordos Basin, China: Implications for coalbed methane development

Journal of Natural Gas Science and Engineering, 2018
Abstract Deep coalbed methane (CBM) resource potential is enormous in China, and has become a new field for unconventional natural gas exploration and development. This work discusses the geological conditions (reservoir pressure, formation temperature and ground stress) of deep coal reservoirs in the Eastern margin of the Ordos Basin and their ...
Song Li, Dazhen Tang, Zhejun Pan, Hao Xu, Shu Tao, Yanfei Liu, Pengfei Ren   +6 more
openaire   +2 more sources

Methane Recovery From Deep Coalbeds in the Book Cliffs

Proceedings of SPE Unconventional Gas Recovery Symposium, 1982
ABSTRACT A project jointly funded by Mountain Fuel Supply Company and the U.S. Department of Energy is being conducted to show the commercial potential of recovering methane gas from deep coal seams in the Book Cliffs coal field in Central Utah.
Ralph L. Coates, Larry D. Allred
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