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Study on logging evaluation of key parameters of “five properties” of deep coalbed methane reservoirs

The Physics of Fluids
Deep coalbed methane (CBM) resources are vast. Addressing the complex geological characteristics of deep CBM reservoirs, which include the coexistence of adsorbed and free gas, complex occurrence mechanisms, significant heterogeneity, and elevated ground
Yufei He   +9 more
semanticscholar   +1 more source

Research on a Sand-Carrying Model of Horizontal Sections of Deep Coalbed Methane Wells

Processes
Deep coalbed methane wells often encounter challenges such as inefficient sand transport and sand accumulation in the horizontal sections during drainage, which significantly impact the stability of gas production and the efficiency of the gas lift ...
Longfei Sun   +7 more
semanticscholar   +1 more source

Study on Evaluation System for Coalbed Methane from Deep Coal Seams in China

Advanced Materials Research, 2014
In this study, data from 244 CBM production wells were collected and analyzed in China. Based on the data, coalbed methane (CBM) reservoir properties and geological factors were studied. Combined with previous study results, the current situation of CBM resource evaluation, the classification of evaluation indexes and evaluation standard were analyzed.
Gui Qiang Zheng   +2 more
openaire   +1 more source

An Integrated Geology and Engineering Workflow for Optimal Hydraulic Fracturing Design in Deep Coalbed Methane Multiwells Pads

SPE Annual Technical Conference and Exhibition
The extraction of methane from deep coal seams (over 2000 meters) has gained increasing attention recently. The deep coal seams present distinct characteristics, including lower reservoir permeability, higher in-situ stress, and stronger plastic ...
Ruiyue Yang   +5 more
semanticscholar   +1 more source

Deep Coalbed Methane Development in Eastern Ordos Basin, China

Acta Geologica Sinica - English Edition, 2015
Yong LI, Dazhen TANG
openaire   +1 more source

Production Forecast of Deep-Coalbed-Methane Wells Based on Long Short-Term Memory and Bayesian Optimization

SPE Journal
This study analyzes the production behaviors of six deep coalbed-methane (CBM) wells (>1980 m) completed in the Ordos Basin and presents a machine-learning method to predict gas production for six target wells.
Danqun Wang, Zhiping Li, Yingkun Fu
semanticscholar   +1 more source

Excess Pore Pressure Behavior and Evolution in Deep Coalbed Methane Reservoirs

2023
Changqing Liu   +7 more
openaire   +1 more source

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