Quantitative Analysis of Gas Occurrence States and Its Controlling Factors in Deep CBM Reservoirs: An Integrated Model With Application in Linxing Block [PDF]
GeofluidsDeep coalbed methane (CBM) is a crucial resource for ensuring energy security. Despite some successful localized deep CBM developments, the unclear understanding of gas content and gas occurrence state remains a key obstacle to the comprehensive ...
Jian Wu +6 more
doaj +5 more sources
A Semi-Analytical Model for Production Prediction of Deep CBM Wells Considering Gas-Water Two-Phase Flow [PDF]
Processes, 2023 The productivity prediction of deep coalbed methane (CBM) wells is significantly influenced by gas-water two-phase flow characteristics and seepage parameters of the fracture network. While numerical simulations offer a comprehensive approach, analytical models are favored for their faster and broader applicability.
Suran Wang, Dongjun Li, LI Wen-lan
exaly +4 more sources
NMR investigation on gas desorption characteristics in CBM recovery during dewatering in deep and shallow coals [PDF]
Journal of Geophysics and Engineering, 2023 Abstract Coalbed methane (CBM) development requires dewatering until the reservoir pressure is less than the critical desorption pressure. Significant quantities of CBM in China are buried >1000 m deep. Therefore, the desorption characteristics of deep CBM reservoirs must be investigated for the further development of deep CBM. In
Yingfeng Sun +5 more
exaly +4 more sources
Geological adaptability of deep CBM fractured horizontal well in SLN block [PDF]
Frontiers in Earth Science, 2023 The buried depth of the main coal beds in SLN Block is more than 1,500 m, and the gas content of the coal beds is high. However, the coal beds are generally in a high geostress environment, the permeability of the coal beds is generally low, and the development effect of conventional fractured straight wells is poor.
Yutong Fu +9 more
openalex +3 more sources
Deep Learning Based Impact Parameter Determination for the CBM Experiment [PDF]
Particles, 2021 In this talk we presented a novel technique, based on Deep Learning, to determine the impact parameter of nuclear collisions at the CBM experiment. PointNet based Deep Learning models are trained on UrQMD followed by CBMRoot simulations of Au+Au collisions at 10 AGeV to reconstruct the impact parameter of collisions from raw experimental data such as ...
Manjunath Omana Kuttan +4 more
openalex +5 more sources
Low-Frequency Corrosion Fatigue Test Study of Sucker Rods under High-Salinity Well Fluids in Deep CBM Wells [PDF]
Processes, 2023 Corrosion fatigue test is the most direct and effective method to study the corrosion fatigue characteristics of sucker rod. At present, the commonly used test method is the high frequency fatigue test, but the working state of sucker rod is typical low-frequency and high-cycle corrosion fatigue, and the test with high frequency will reduce the impact ...
Fenna Zhang +6 more
openalex +2 more sources
The Health Index Prediction Model and Application of PCP in CBM Wells Based on Deep Learning [PDF]
Geofluids, 2021 Aiming at the problems of the current production and operation status of the progressive cavity pump (PCP) in coalbed methane (CBM) wells which cannot be timely monitored, quantitatively evaluated, and accurately predicted, a five-step method for evaluating and predicting the health status of PCP wells is proposed: data preprocessing, principal ...
Chaodong Tan +6 more
openalex +3 more sources
A Parametric Study and Economic Evaluation of Drilling Patterns in Deep, Thick CBM Reservoirs
SPE Eastern Regional Meeting, 2011 Abstract Over the past decade, production from unconventional reservoirs such as coalbed methane has increased dramatically. The focal driving force for this growth in coalbed methane production was the development and promulgation of reservoir engineering and completion technology.
Ali Omran Nasar
+6 more sources
Genesis of Low CBM Production in Mid-Deep Reservoirs and Methods to Increase Regional Production: A Case Study in the Zhengzhuang Minefield, Qinshui Basin, China [PDF]
ACS Omega, 2023 With the increase of the burial depth of the no. 3 coal seam in the Zhengzhuang minefield of Qinshui Basin, the production of surface coal bed methane (CBM) vertical wells was low. By means of theoretical analysis and numerical calculation, the causes of low production of CBM vertical wells were studied from the aspects of reservoir physical properties,
Changjiang Ji +6 more
openalex +3 more sources
Deep-Learning-Based Optimization of the Signal/Background Ratio for Λ Particles in the CBM Experiment at FAIR [PDF]
AlgorithmsMachine learning algorithms have become essential tools in modern physics experiments, enabling the precise and efficient analysis of large-scale experimental data. The Compressed Baryonic Matter (CBM) experiment at the Facility for Antiproton and Ion Research (FAIR) demands innovative methods for processing the vast data volumes generated at high ...
I. Kisel, Robin Lakos, Gianna Zischka
openalex +3 more sources