Blar i NTNU Open på forfatter "Ng, Cuthbert Shang Wui"
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Adaptive Proxy-based robust production optimization with multilayer perceptron
Ng, Cuthbert Shang Wui; Jahanbani Ghahfarokhi, Ashkan (Peer reviewed; Journal article, 2022)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. ML-based data-driven models offer an alternative path to solving ... -
Application of nature-inspired algorithms and artificial neural network in waterflooding well control optimization
Ng, Cuthbert Shang Wui; Jahanbani Ghahfarokhi, Ashkan; Nait Amar, Menad (Peer reviewed; Journal article, 2021)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 present value of a waterflooding process by adjusting the well ... -
Data-Driven Reservoir Modeling: Application of Proxy Models in Reservoir Management
Ng, Cuthbert Shang Wui (Doctoral theses at NTNU;2023:183, Doctoral thesis, 2023)This Ph.D. thesis consists of 8 papers that summarize the main contents of the research work done over the past 3 years. Due to the ability of machine learning (ML) in capturing high nonlinearity, the thesis mainly touches ... -
Fast Well Control Optimization with Two-Stage Proxy Modeling
Ng, Cuthbert Shang Wui; Jahanbani Ghahfarokhi, Ashkan; Wiranda, Wilson (Peer reviewed; Journal article, 2023)Waterflooding is one of the methods used for increased hydrocarbon production. Waterflooding optimization can be computationally prohibitive if the reservoir model or the optimization problem is complex. Hence, proxy ... -
Modeling interfacial tension of the hydrogen-brine system using robust machine learning techniques: Implication for underground hydrogen storage
Ng, Cuthbert Shang Wui; Djema, Hakim; Nait Amar, Menad; Jahanbani Ghahfarokhi, Ashkan (Peer reviewed; Journal article, 2022)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 consumption of fossil fuels. The production of hydrogen (H2) ... -
Optimization of Offshore Saline Aquifer CO2 Storage in Smeaheia Using Surrogate Reservoir Models
Amiri, Behzad; Jahanbani Ghahfarokhi, Ashkan; Rocca, Vera; Ng, Cuthbert Shang Wui (Journal article; Peer reviewed, 2024)Machine learning-based Surrogate Reservoir Models (SRMs) can replace/augment multi-physics numerical simulations by replicating the reservoir simulation results with reduced computational effort while maintaining accuracy ... -
Optimization of WAG in real geological field using rigorous soft computing techniques and nature-inspired algorithms
Nait Amar, Menad; Jahanbani Ghahfarokhi, Ashkan; Ng, Cuthbert Shang Wui; Zeraibi, Noureddine (Peer reviewed; Journal article, 2021)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 reservoirs. Owing to this challenge, enhanced oil recovery (EOR) ... -
Optimizing initiation time of waterflooding under geological uncertainties with Value of Information: Application of simulation-regression approach
Ng, Cuthbert Shang Wui; Jahanbani Ghahfarokhi, Ashkan (Peer reviewed; Journal article, 2022)Reservoir Management (RM) is an example of sequential decision problems in the oil and gas industry. Therefore, implementing Decision Analysis (DA) tool to systematically resolve such problems has been a common practice. ... -
Predicting wax deposition using robust machine learning techniques
Nait Amar, Menad; Jahanbani Ghahfarokhi, Ashkan; Ng, Cuthbert Shang Wui (Journal article; Peer reviewed, 2021)Accurate prediction of wax deposition is of vital interest in digitalized systems to avoid many issues that interrupt the flow assurance during production of hydrocarbon fluids. The present investigation aims at establishing ... -
Production optimization under waterflooding with Long Short-Term Memory and metaheuristic algorithm
Ng, Cuthbert Shang Wui; Jahanbani Ghahfarokhi, Ashkan; Nait Amar, Menad (Peer reviewed; Journal article, 2022)In petroleum domain, optimizing hydrocarbon production is essential because it does not only ensure the economic prospects of the petroleum companies, but also fulfills the increasing global demand of energy. However, ... -
Proxy Model Development for the Optimization of Water Alternating CO2 Gas for Enhanced Oil Recovery
Matthew, D Aqnan Marusaha; Jahanbani Ghahfarokhi, Ashkan; Ng, Cuthbert Shang Wui; Nait Amar, Menad (Peer reviewed; Journal article, 2023)Optimization studies are an important task in reservoir engineering practices such as production optimization and EOR (Enhanced Oil Recovery) assessments. However, they are extensive studies with many simulations that ... -
Proxy Modeling for Waterflooding Optimization
Ågrav, Henrik (Master thesis, 2021)Vannstrømning er en av de mest vanlige metodene for å øke produktiviteten til et olje & gass reservoar; det er billig, effektivt, og man har drevet med det veldig lenge. Optimalisering av vannstrømningsprosesser gjøres ... -
Smart Proxy Modeling of a Fractured Reservoir Model for Production Optimization: Implementation of Metaheuristic Algorithm and Probabilistic Application
Ng, Cuthbert Shang Wui; Jahanbani Ghahfarokhi, Ashkan; Nait Amar, Menad; Torsæter, Ole (Journal article; Peer reviewed, 2021)Numerical reservoir simulation has been recognized as one of the most frequently used aids in reservoir management. Despite having high calculability performance, it presents an acute shortcoming, namely the long computational ... -
A Survey on the Application of Machine Learning and Metaheuristic Algorithms for Intelligent Proxy Modeling in Reservoir Simulation
Ng, Cuthbert Shang Wui; Nait Amar, Menad; Jahanbani Ghahfarokhi, Ashkan; Imsland, Lars Struen (Peer reviewed; Journal article, 2022)Machine Learning (ML) has demonstrated its immense contribution to reservoir engineering, particularly reservoir simulation. The coupling of ML and metaheuristic algorithms illustrates huge potential for application in ... -
Using the Least-Squares Monte Carlo Algorithm to Optimize IOR Initiation Time
Ng, Cuthbert Shang Wui (Master thesis, 2019)The application of the Least-Squares Monte Carlo (LSM) algorithm in the oil and gas industry is increasing. Its use with a production model has been demonstrated to be insightful by Hong et al. (2018) in terms of optimizing ... -
Well production forecast in Volve field: Application of rigorous machine learning techniques and metaheuristic algorithm
Ng, Cuthbert Shang Wui; Jahanbani Ghahfarokhi, Ashkan; Nait Amar, Menad (Peer reviewed; Journal article, 2021)Developing a model that can accurately predict the hydrocarbon production by only employing the conventional mathematical approaches can be very challenging. This is because these methods require some underlying assumptions ...