Results 81 to 90 of about 3,961 (134)

Geological control of differential enrichment of deep coalbed methane in the Ordos Basin

Meitan kexue jishu
The deep coalbed methane (CBM) resources in the Ordos Basin are abundant and have great development potential, making it the main battlefield for exploration and development of deep CBM in China. Among them, clarifying the enrichment law of deep CBM and delineating enrichment sections are important foundation for CBM exploration and development.
Liyong FAN, Guoxiao ZHOU, Zhaobiao YANG, Huaichang WANG, Benju LU, Baoxin ZHANG, Yuhang CHEN, Cunlei LI, Yanqing WANG, Junyu GU   +9 more
openaire   +1 more source

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  

Developing and Producing Coalbed Gas: Ownership, Regulation, and Environmental Concerns [PDF]

, 1984
Cohen, Harry
core   +2 more sources

Characteristics of occurrence and distribution rule of deep coalbed methane in supercritical state

Meitan kexue jishu
Deep Coalbed methane(CBM) has become an important direction for gas storage and production, but its original occurrence state of adsorbed gas and free gas and distribution law under different geological conditions are unclear, which restricts the accurate estimation of deep CBM reserves and the understanding of production law.
Lihong ZHOU, Xia YAN, Xianyue XIONG, Feng WANG, Wenchao LIU, Yuejie YANG, Zhaobiao YANG, Yanqing FENG   +7 more
openaire   +1 more source

Progress in completion technology of deep coalbed methane development wells in Qinshui Basin

Meitan kexue jishu
The deep coal reservoir in Qinshui Basin has the geological characteristics of low permeability to ultra-low permeability, local high saturation, low porosity and high thermal evolution degree. Under the development mode of vertical well/horizontal well + large-scale fracturing, it is necessary to adapt the completion technology to ensure the reservoir
Penglei SHEN, Shuaifeng LYU, Jianping BAI, Guofu LI, Yanqing YANG, Zhangkai XIONG   +5 more
openaire   +1 more source

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

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

Intelligent coalbed methane drainage optimization: A deep reinforcement learning-driven life-cycle strategy

Energy and AI
Chen Liu, Bin Gong, HaoQiang Wu, Hu Huang, Heng Zhao   +4 more
openaire   +1 more source

Some of the next articles are maybe not open access.

Related searches:

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 ...
Zixi Guo, Jinzhou Zhao, Zhenjiang You, Yongming Li, Shu Zhang, Yiyu Chen   +5 more
openaire   +1 more source

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   +1 more source