Blar i Institutt for geovitenskap og petroleum på forfatter "Jahanbani Ghahfarokhi, Ashkan"
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A coupled wellbore-reservoir modelling approach to showcase the effect of CO2 injection on flow behavior in a saline aquifer
Sakr, Haissam Rabih (Master thesis, 2024)Karbonfangst og -lagring er i framgang som en løsning for å redusere mengden karbondioksid (CO2) i atmosfæren, som regnes som hovedårsaken til global oppvarming. For å trygt lagre CO2 på et potensielt sted over en lang ... -
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 Low-Salinity Waterflooding in Carbonate Cores: A Geochemical Modeling Study
Jahanbani Ghahfarokhi, Ashkan; Egbe, Daniel Isong Otu; Nait Amar, Menad; Torsæter, Ole (Peer reviewed; Journal article, 2020)Waterflooding is the most widely applied improved oil recovery technique. Recently, there has been growing interest in the chemistry and ionic composition of the injected water. Low-salinity waterflooding (LSWF) is a ... -
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 ... -
Applying hybrid support vector regression and genetic algorithm to water alternating CO2 gas EOR
Nait Amar, Menad; Zeraibi, Noureddine; Jahanbani Ghahfarokhi, Ashkan (Peer reviewed; Journal article, 2020)Water alternating CO2 gas injection (WAG CO2) is one of the most promising enhanced oil recovery techniques. The optimization of this process requires performing many time‐consuming simulations. In this paper, an intelligent ... -
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 ... -
Field-Scale Production Optimization in CO2 Enhanced Oil Recovery
Schei, Steinar (Master thesis, 2020) -
Flipped classroom in engineering education: the views of the main stakeholders
Jahanbani Ghahfarokhi, Ashkan; Mavroudi, Anna (Journal article, 2020)Flipped classroom is a blended learning approach that is increasingly gaining popularity in university education in the recent years. This paper discusses the use of the flipped classroom approach in the context of a ... -
Geochemical Modeling of Low Salinity Waterflooding and Surfactant Flooding in Heterogeneous Low-Permeability Carbonate Cores
Daniel Isong Otu, Egbe (Master thesis, 2019)World energy consumption is projected to increase significantly by 2040 with fossil fuels remaining the main source of energy. About 60% and 40% of the world’s oil and gas reserves, respectively, are found in carbonate ... -
Interwell connectivity identification in immiscible gas-oil systems using statistical method and modified capacitance-resistance model: a comparative study
Yousefi, Seyed Hamidreza; Rashidi, Fariborz; Sharifi, Mohammad; Soroush, Mohammad; Jahanbani Ghahfarokhi, Ashkan (Peer reviewed; Journal article, 2020)Interwell connectivity identification between injector-producer well pairs and hydrocarbon production estimation are essential parameters in reservoir management, which can determine unrecovered oil volume and reservoir ... -
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) ... -
MRST Vertical Equilibrium Model analysis for CO2 Storage
Zeynolabedini, Mohammadsajjad (Master thesis, 2023)Hovedformålet med denne studien er å importere Aurora-modellen, som er utviklet ved Universitetet i Oslo i samarbeid med Gassnova og Ross Offshore, inn i MATLAB Reservoir Simulation Toolbox (MRST) for å anvende funksjonen ... -
Northern Lights Project: Aurora Model Investigation with Sensitivity Studies and Using Different Simulation Methods
Marashi, Seyed Vahid (Master thesis, 2022)The Norwegian "Longship" full-scale carbon capture and storage (CCS) project was defined over the Norwegian Continental Shelf (NCS) following the successful Sleipner CO2 storage operation. The Northern Lights project is ... -
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 thermal conductivity of carbon dioxide using group of data-driven models
Nait Amar, Menad; Jahanbani Ghahfarokhi, Ashkan; Zeraibi, Noureddine (Peer reviewed; Journal article, 2020)Thermal conductivity of carbon dioxide (CO2) is a vital thermophysical parameter that significantly affects the heat transfer modeling related to CO2 transportation, pipelines design and associated process industries. The ... -
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 ... -
Prediction of CO2 diffusivity in brine using white-box machine learning
Nait Amar, Menad; Jahanbani Ghahfarokhi, Ashkan (Peer reviewed; Journal article, 2020)Accurate knowledge of the diffusivity coefficient of CO2 in brine has a significant effect on the design success and monitoring of CO2 storage in saline aquifers, which is a part of carbon capture and sequestration (CCS). ... -
A predictive model for the wettability of chalk
Nourani, Meysam; Schovsbo, Niels Hemmingsen; Jahanbani Ghahfarokhi, Ashkan; Nielsen, Carsten Møller; Sigalas, Lykourgos; Meyer, Aurelien Gabriel; Olsen, Dan; Stemmerik, Lars (Peer reviewed; Journal article, 2020)Wettability is usually measured in special core analyses of limited plug samples according to typically costly and time-consuming procedures. For comparative purposes, wettability is considered an index. The two most ... -
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, ...