Search Results - "Ng, Cuthbert Shang Wui"

Predicting wax deposition using robust machine learning techniques by Menad Nait Amar, Ashkan Jahanbani Ghahfarokhi, Cuthbert Shang Wui Ng

“…Accurate prediction of wax deposition is of vital interest in digitalized systems to avoid many issues that interrupt the flow assurance during production of…”
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Fast Well Control Optimization with Two-Stage Proxy Modeling by Ng, Cuthbert Shang Wui, Jahanbani Ghahfarokhi, Ashkan, Wiranda, Wilson

“…Waterflooding is one of the methods used for increased hydrocarbon production. Waterflooding optimization can be computationally prohibitive if the reservoir…”
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Adaptive Proxy-based Robust Production Optimization with Multilayer Perceptron by Ng, Cuthbert Shang Wui, Jahanbani Ghahfarokhi, Ashkan

“…Machine learning (ML) has been a technique employed to build data-driven models that can map the relationship between the input and output data provided…”
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Optimization of Offshore Saline Aquifer CO2 Storage in Smeaheia Using Surrogate Reservoir Models by Amiri, Behzad, Jahanbani Ghahfarokhi, Ashkan, Rocca, Vera, Ng, Cuthbert Shang Wui

“…Machine learning-based Surrogate Reservoir Models (SRMs) can replace/augment multi-physics numerical simulations by replicating the reservoir simulation…”
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Proxy Model Development for the Optimization of Water Alternating CO2 Gas for Enhanced Oil Recovery by Matthew, D Aqnan Marusaha, Jahanbani Ghahfarokhi, Ashkan, Ng, Cuthbert Shang Wui, Nait Amar, Menad

“…Optimization studies are an important task in reservoir engineering practices such as production optimization and EOR (Enhanced Oil Recovery) assessments…”
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Production optimization under waterflooding with long short-term memory and metaheuristic algorithm by Cuthbert Shang Wui Ng, Ashkan Jahanbani Ghahfarokhi, Menad Nait Amar

“…In petroleum domain, optimizing hydrocarbon production is essential because it does not only ensure the economic prospects of the petroleum companies, but also…”
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Corrigendum to “Adaptive proxy-based robust production optimization with multilayer perceptron” [Appl. Comput. Geosci. 16 (2022) 100103] by Ng, Cuthbert Shang Wui, Jahanbani Ghahfarokhi, Ashkan

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Corrigendum to “Production optimization under waterflooding with long short-term memory and metaheuristic algorithm” Petroleum 9 (2023) 53-60 by Cuthbert Shang Wui Ng, Ashkan Jahanbani Ghahfarokhi, Menad Nait Amar

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Application of nature-inspired algorithms and artificial neural network in waterflooding well control optimization by Ng, Cuthbert Shang Wui, Jahanbani Ghahfarokhi, Ashkan, Nait Amar, Menad

“…With the aid of machine learning method, namely artificial neural networks, we established data-driven proxy models that could be utilized to maximize the net…”
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Modeling interfacial tension of the hydrogen-brine system using robust machine learning techniques: Implication for underground hydrogen storage by Ng, Cuthbert Shang Wui, Djema, Hakim, Nait Amar, Menad, Jahanbani Ghahfarokhi, Ashkan

“…During the last years, there has been a surge of interest in cleaner ways for producing energy in order to successfully handle the climate issues caused by the…”
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Optimizing initiation time of waterflooding under geological uncertainties with Value of Information: Application of simulation-regression approach by Ng, Cuthbert Shang Wui, Jahanbani Ghahfarokhi, Ashkan

“…Reservoir Management (RM) is an example of sequential decision problems in the oil and gas industry. Therefore, implementing Decision Analysis (DA) tool to…”
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Corrigendum to “Modeling interfacial tension of the hydrogen-brine system using robust machine learning techniques: Implication for underground hydrogen storage” [Int J Hydrogen Energy 47(93), 1 December 2022, 39595–39605] by Ng, Cuthbert Shang Wui, Djema, Hakim, Nait Amar, Menad, Jahanbani Ghahfarokhi, Ashkan

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A Survey on the Application of Machine Learning and Metaheuristic Algorithms for Intelligent Proxy Modeling in Reservoir Simulation by Ng, Cuthbert Shang Wui, Nait Amar, Menad, Jahanbani Ghahfarokhi, Ashkan, Imsland, Lars Struen

“…•A survey of applying ML and coupled ML-metaheuristic paradigm in intelligent proxy modeling of NRS is provided.•Discussion about relevant previous works is…”
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Smart Proxy Modeling of a Fractured Reservoir Model for Production Optimization: Implementation of Metaheuristic Algorithm and Probabilistic Application by Ng, Cuthbert Shang Wui, Jahanbani Ghahfarokhi, Ashkan, Nait Amar, Menad, Torsæter, Ole

“…Numerical reservoir simulation has been recognized as one of the most frequently used aids in reservoir management. Despite having high calculability…”
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Proxy Model Development for the Optimization of Water Alternating CO[sub.2] Gas for Enhanced Oil Recovery by Matthew, D Aqnan Marusaha, Jahanbani Ghahfarokhi, Ashkan, Ng, Cuthbert Shang Wui, Nait Amar, Menad

“…Optimization studies are an important task in reservoir engineering practices such as production optimization and EOR (Enhanced Oil Recovery) assessments…”
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Optimization of Offshore Saline Aquifer CO[sub.2] Storage in Smeaheia Using Surrogate Reservoir Models by Amiri, Behzad, Jahanbani Ghahfarokhi, Ashkan, Rocca, Vera, Ng, Cuthbert Shang Wui

“…Machine learning-based Surrogate Reservoir Models (SRMs) can replace/augment multi-physics numerical simulations by replicating the reservoir simulation…”
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Optimization of WAG in real geological field using rigorous soft computing techniques and nature-inspired algorithms by Nait Amar, Menad, Jahanbani Ghahfarokhi, Ashkan, Ng, Cuthbert Shang Wui, Zeraibi, Noureddine

“…To meet the ever-increasing global energy demands, it is more necessary than ever to ensure increments in the recovery factors (RF) associated with oil…”
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Well production forecast in Volve field: Application of rigorous machine learning techniques and metaheuristic algorithm by Ng, Cuthbert Shang Wui, Jahanbani Ghahfarokhi, Ashkan, Nait Amar, Menad

“…Developing a model that can accurately predict the hydrocarbon production by only employing the conventional mathematical approaches can be very challenging…”
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