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This study extends an integrated field characterization in Eagle Ford by optimizing the numerical reservoir simulation of highly representative complex fractured systems through embedded discrete fracture modeling (EDFM). The bottom-hole flowing pressure
Mauricio FIALLOS TORRES +3 more
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Field-scale complexities associated with production of CH4 from coal bed methane reservoir
Coal Bed Methane (CBM) is a kind of natural gas found in coal seams as adsorbed gases, unlike free gases in a conventional reservoir. These coal beds are complex, with a wide distribution of porosity from nano to micro and permeability in order of change.
Suresh Kumar Govindarajan +3 more
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Numerical Studies of Advanced Methane Drainage Employing Underground Long-Reach Directional Drilling
This paper presents the procedures and results of the numerical modelling and simulations performed to analyse an innovative method of advanced methane drainage employing underground long-reach directional drilling (LRDD) technology.
Wiesław Szott +4 more
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Evaluation of Reservoir Capacity and Reliability for Urban Water Utilization in Dili, Timor Leste
The ability to store and distribute water resources is very significant to human activities. Therefore, high importance is placed on the sector to address any adverse impact in the event of major shortfall, particularly in Dili, Timor Leste.
Aderita Mariana Takeleb +2 more
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Crop production in Afghanistan suffers from limited phosphorus (P) availability, which severely hinders national agriculture sustainability. This study hypothesized that deep fertilizer placement could significantly enhance the uptake of immobile P and ...
Sharifullah Sharifi +4 more
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Artificial intelligence (AI) has rapidly advanced and influenced all scientific fields, including the petroleum industry, where it is no longer a novel concept.
Viswakanth Kandala +4 more
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Combined the advantage of reservoir simulation and conventional reservoir engineering methods, the paper proposes a quick method for production performance prediction, which is based on type curves generated from reservoir simulations of sector model ...
Yong LI +5 more
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Parallel Automatic History Matching Algorithm Using Reinforcement Learning
Reformulating the history matching problem from a least-square mathematical optimization problem into a Markov Decision Process introduces a method in which reinforcement learning can be utilized to solve the problem.
Omar S. Alolayan +2 more
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Parallel Reservoir Simulation with OpenACC and Domain Decomposition
Parallel reservoir simulation is an important approach to solving real-time reservoir management problems. Recently, there is a new trend of using a graphics processing unit (GPU) to parallelize the reservoir simulations.
Zhijiang Kang +3 more
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Geomechanical Integrity of Offshore Oil Reservoir During EOR-CO2 Process: A Case Study
The aim of this work was to investigate the evolution of the mechanical integrity of the selected offshore oil reservoir during its life cycle. The geomechanical stability of the reservoir formation, including the caprock and base rock, was investigated ...
Piotr Ruciński
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