Results 241 to 250 of about 24,816 (277)

A Stability Analysis of Two Horizontal CBM Wells in the Deep Mannville Coals, Alberta Basin, Canada

Energy Sources, Part A: Recovery, Utilization, and Environmental Effects, 2011
Abstract This study describes the main technical challenges encountered while drilling the first horizontal coalbed methane well ever attempted in Canada. The well was drilled in the deep (>1,300 m), low-permeability (1–3 md) coals of the Lower Cretaceous Mannville Formation in the central Alberta Plains. The study also discusses the investigation that
Thomas Gentzis
exaly   +4 more sources

Advances in Technology of CBM Horizontal Well Completion in Deep Area

International Petroleum Technology Conference, 2013
Abstract In 2011, a deepest horizontal Coalbed Methane (CBM) well in China, with a total vertical depth in excess of 1100m, was successfully drilled by Shell China E&P Co. Ltd (SCEPCo). The well, located in the East Ordos Basin, achieved a total 'in-seam' length of nearly 3600 m.
Zhengrong Yuan, Martijn Kleverlaan, Jinpo Dong   +2 more
  +4 more sources

Deep learning for quark–gluon plasma detection in the CBM experiment

International Journal of Modern Physics A, 2020
Classification of processes in heavy-ion collisions in the CBM experiment (FAIR/GSI, Darmstadt) using neural networks is investigated. Fully-connected neural networks and a deep convolutional neural network are built to identify quark–gluon plasma simulated within the Parton-Hadron-String Dynamics (PHSD) microscopic off-shell transport approach for ...
Fedor Sergeev, Elena Bratkovskaya, I. Kisel, Iouri Vassiliev   +3 more
openalex   +2 more sources

Distribution Law of Occurrence State and Content Prediction of Deep CBM: A Case Study in the Ordos Basin, China

Natural Resources Research
Cunlei Li, Zhaobiao Yang, Yan Xia, Guoxiao Zhou, Geoff Wang, Wei Gao, Changqing Liu, Benju Lu, Yuhui Liang   +8 more
exaly   +4 more sources

Study on the Fracture Propagation Mechanism in Deep CBM Reservoirs

58th U.S. Rock Mechanics/Geomechanics Symposium
ABSTRACT: The matrix permeability of deep coalbed methane (CBM) reservoirs is extremely low, but they are abundant in bedding and cleats structures. Hydraulic fracturing is the most effective method for exploiting deep CBM reservoirs. Due to the characteristics of deep coal seam burial and high construction pressure,
Sile Wei, Junjie Shentu, Y. Jin, Shiyi Chen, Bo Gao, Feng Peng   +5 more
openalex   +2 more sources

Can crops be irrigated with sodium bicarbonate rich CBM deep aquifer water? Theoretical and field evaluation

Ecological Engineering, 2008
Abstract A simulation modelling exercise, followed by field trials was carried out to assess the suitability of sodium bicarbonate (NaHCO 3 ) rich water obtained from dewatering for extraction of methane gas from coal beds in the Limpopo Province, Republic of South Africa.
Yacob Beletse, J. G. Annandale, J. M. Steyn, I.R. Hall, M.E. Aken   +4 more
openalex   +2 more sources

Case Study: CO2 Foam Fracturing Accelerate Deep CBM Reservoir Development in Ordos Basin

GOTECH
Abstract The Ordos Basin is located in northwest China, where there is perennial drought, little rainfall, and a fragile ecological environment. Recently, operators have increased their exploration and production efforts on a deep coalbed methane (CBM) reservoir [true vertical depth (TVD) >2000 m], which is the cornerstone to ...
Yuting Hou, Zijian Hu, Xifeng Hu, Jianpeng Jia, Xinxing Ma, Hui Li, Wenlong Dang, Liang Zhao, Yuanhua Li, Yin Luo, Bei Gao, Zeren Ma, Shu Zhang, Yunlong Fu   +13 more
openalex   +2 more sources

Enhanced Reservoir Characterization of Thin Coal Seams: Application of 2D CNN-Based Seismic Impedance Inversion in Deep CBM Exploration

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.
Junjian Li, Jichao Sun, Hong Zhang, Xuan Sun   +3 more
openalex   +2 more sources

Deep Data-driven RUL Prediction for Optimizing Safety-constrained CBM Strategies in Plant Modernization

2023 IEEE 14th Annual Ubiquitous Computing, Electronics & Mobile Communication Conference (UEMCON), 2023
Yi Huang, Dongxue Zhao, Bin Xie
openalex   +2 more sources