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Ashkan Jahanbani Ghahfarokhi

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Ashkan Jahanbani Ghahfarokhi

Associate Professor
Department of Geoscience
Faculty of Engineering

ashkan.jahanbani@ntnu.no
+4790367701 526 Petroleumsteknisk senter Valgrinda, Trondheim
ResearchGate Google Scholar CEORS Gemini Centre - CO2 Enhanced Oil Recovery & Storage Outstanding Academic Fellows Programme 4.0 (2022-2026)
About Research Publications Teaching Outreach

About

I am associate professor in reservoir engineering at Department of Geosciences (IGV), NTNU since January 2019, visiting University of Southern California in 2025 (Fulbright research grant) and Imperial College London in 2026.

I received the Society of Petroleum Engineers (SPE) Europe 2025 Regional Distinguished Achievement Award for Petroleum Engineering Faculty. In 2022, I was selected as one of NTNU’s young talents in Outstanding Academic Fellows Programme 4.0 (2022-2026). My research group (including PhD, Postdoc, and master students) perform cutting edge research on numerical and data-driven subsurface reservoir modeling.

I have had the following managerial roles at NTNU:

  • 2024-2032: Main NTNU contact deputy and General Assembly deputy for the Norwegian Environment-Friendly Energy Research Centre FME gigaCCS
  • 2025-: Reservoir management and production optimization program area manager in BRU21 (Better Resource Utilization in the 21st century)
  • 2021-2022: Head of the Reservoir Engineering and Petrophysics Group (now Well and Reservoir) 
  • 2020-2024: Leader of the CEORS Gemini Centre (strategic collaboration between NTNU and SINTEF on CO2 Enhanced Oil Recovery & Storage)
  • 2019-2022: Study profile manager in Engineering & ICT study program committee (an advisory board for the study program manager)
  • 2017-present: Chairperson, Young Professionals Chairperson, and Faculty advisor at Society of Petroleum Engineers (SPE) Trondheim section.

My background is reservoir engineering:

  • 2015: PhD, Norwegian University of Science and Technology (NTNU), Norway
  • 2009: MEng., University of Calgary (UofC), Canada
  • 2008: MSc., Petroleum University of Technology (PUT), Iran
  • 2006: BSc., Petroleum University of Technology (PUT), Iran

After PhD, I worked (2015-2017) at DNVA (Norwegian Academy of Science and Letters, supported by Equinor) as recipient of a prestigious post-doctoral research scholarship on polymer gel simulation study. It is this academy that awards the Abel prize in mathematics.

I did another postdoc at PoreLab SFF (Norwegian Center of Excellence) on wettability alteration in low-salinity water flooding.

Research

I am specialized in subsurface reservoir modeling, enhanced recovery and fluid flow in porous media, and my current research includes:

  • CO2 injection for enhanced recovery and subsurface storage
  • Data-driven reservoir modeling
  • Production optimization
  • Field development
  • Well test analysis (PTA/RTA)
  • PVT, fluid model development

My research includes participation in the following groups at NTNU:

  • Main NTNU contact deputy and General Assembly deputy for the Norwegian Environment-Friendly Energy Research Centre FME gigaCCS
  • Leader of Team Geo Energy (NTNU Energy)
  • Leader of the CEORS Gemini center
  • Program area manager of the Reservoir Management and Production Optimization group in BRU21 (Better Resource Utilization in the 21st century)
  • Research associate at PoreLab SFF (Norwegian Center of Excellence), Microfluidics and field studies (RESEARCH THEME 6)

I have written more than 50 journal and conference papers. I have also presented research work in more than 30 national and international conferences since 2008. Some invited presentations include:

  • Invited speaker at Netherlands Energy Day 2024 ‘From Fossil to the Fuel of the Future, the road ahead’.
  • Keynote speaker and Advisory Committee Member for The International Conference on Oil & Gas for Energy Security (ICOGES) in India 2024
  • Invited speaker at NEXT 2024 - New Energy X Subsurface in Bergen
  • Invited talk on CO2 EOR and Storage at Joining Forces seminar, April 2022, Stavanger
  • Invited talk about Carbon Capture and Storage at NPF digital lunch meeting, February 2022
  • Invited talk on digitalization at NFiP PhD seminar, November 2018, Stavanger
  • Schlumberger 2016 EOR Workshop “EOR New Frontiers”, 3-5 October, Abingdon, Uk, Simulation Study of Application of a Water Diverting Gel in Enhanced Oil Recovery.

I was guest editor of the Special Issue "Artificial Intelligence/Machine Learning Applications in the Oil and Gas Industry" for Energies Journal (ISSN 1996-1073).

Publications

  • Chronological
  • By category
  • All publications registered in NVA

2026

  • Mao, Jinjie; Ghahfarokhi, Ashkan Jahanbani. (2026) Accelerating multi-well placement optimization with machine learning-based proxy models for CO2 enhanced oil recovery and storage. Applied Computing and Geosciences
    Academic article

2025

  • Redouane, Kheireddine; Ghahfarokhi, Ashkan Jahanbani. (2025) A New Hybrid Intelligent System for Predicting Bottom-Hole Pressure in Vertical Oil Wells: A Case Study. Algorithms
    Academic article
  • Zeynolabedini, Mohammadsajjad; Ghahfarokhi, Ashkan Jahanbani. (2025) Vertical Equilibrium Model Analysis for CO2 Storage. Gases
    Academic article
  • Mohammadi, Behnam Tavagh; Ghahfarokhi, Ashkan Jahanbani; Grimstad, Alv-Arne. (2025) A review of modeling approaches for CO2 injection into depleted gas reservoirs: Coupling transient wellbore and reservoir dynamics. International Journal of Greenhouse Gas Control
    Academic article

2024

  • Ghahfarokhi, Ashkan Jahanbani. (2024) Applications of Data-Driven Techniques in Reservoir Simulation and Management.
    Academic chapter/article/Conference paper
  • Mao, Jinjie; Ghahfarokhi, Ashkan Jahanbani. (2024) A Review of Intelligent Decision-Making Strategy for Geological CO2 Storage: Insights from Reservoir Engineering. Geoenergy Science and Engineering
    Academic article
  • Amiri, Behzad; Ghahfarokhi, Ashkan Jahanbani; Rocca, Vera; Ng, Cuthbert Shang Wui. (2024) Optimization of Offshore Saline Aquifer CO2 Storage in Smeaheia Using Surrogate Reservoir Models. Algorithms
    Academic article

2023

  • Ng, Cuthbert Shang Wui; Ghahfarokhi, Ashkan Jahanbani; Wiranda, Wilson. (2023) Fast Well Control Optimization with Two-Stage Proxy Modeling. Energies
    Academic article
  • Matthew, D Aqnan Marusaha; Ghahfarokhi, Ashkan Jahanbani; Ng, Cuthbert Shang Wui; Amar, Menad Nait. (2023) Proxy Model Development for the Optimization of Water Alternating CO2 Gas for Enhanced Oil Recovery. Energies
    Academic article
  • Ng, Cuthbert Shang Wui; Ghahfarokhi, Ashkan Jahanbani. (2023) Data-Driven Reservoir Modeling: Application of Proxy Models in Reservoir Management. Norges teknisk-naturvitenskapelige universitet Norges teknisk-naturvitenskapelige universitet
    Doctoral dissertation

2022

  • Ng, Cuthbert Shang Wui; Djema, Hakim; Amar, Menad Nait; Ghahfarokhi, Ashkan Jahanbani. (2022) Modeling interfacial tension of the hydrogen-brine system using robust machine learning techniques: Implication for underground hydrogen storage. International Journal of Hydrogen Energy
    Academic article
  • Ng, Cuthbert Shang Wui; Ghahfarokhi, Ashkan Jahanbani. (2022) Optimizing initiation time of waterflooding under geological uncertainties with Value of Information: Application of simulation-regression approach. Journal of Petroleum Science and Engineering
    Academic article
  • Ng, Cuthbert Shang Wui; Ghahfarokhi, Ashkan Jahanbani. (2022) Adaptive Proxy-based Robust Production Optimization with Multilayer Perceptron. Applied Computing and Geosciences
    Academic article
  • Ng, Cuthbert Shang Wui; Ghahfarokhi, Ashkan Jahanbani; Amar, Menad Nait. (2022) Production optimization under waterflooding with Long Short-Term Memory and metaheuristic algorithm. Petroleum
    Academic article
  • Ng, Cuthbert Shang Wui; Amar, Menad Nait; Ghahfarokhi, Ashkan Jahanbani; Imsland, Lars Struen. (2022) A Survey on the Application of Machine Learning and Metaheuristic Algorithms for Intelligent Proxy Modeling in Reservoir Simulation. Computers and Chemical Engineering
    Academic article
  • Marashi, Vahid; Ghahfarokhi, Ashkan Jahanbani; Bergmo, Per Eirik Strand; Ringstad, Cathrine. (2022) Northern Lights Project: Aurora Model Investigation with Sensitivity Studies and Using Different Simulation Methods. Norges teknisk-naturvitenskapelige universitet Norges teknisk-naturvitenskapelige universitet
    Masters thesis
  • Eliasson, Peder; Ringstad, Cathrine; Marashi, Vahid; Bergmo, Per Eirik Strand; Ghahfarokhi, Ashkan Jahanbani; Porté, Julien. (2022) Using the Aurora model for CO2 storage modelling and CSEM sensitivity assessment. Social Science Research Network (SSRN)
    Academic article

2021

  • Ghahfarokhi, Ashkan Jahanbani. (2021) Promoting Student-Active Learning. Læring om læring
    Academic article
  • Ng, Cuthbert Shang Wui; Ghahfarokhi, Ashkan Jahanbani; Amar, Menad Nait. (2021) Well production forecast in Volve field: Application of rigorous machine learning techniques and metaheuristic algorithm. Journal of Petroleum Science and Engineering
    Academic article
  • Amar, Menad Nait; Ghahfarokhi, Ashkan Jahanbani; Ng, Cuthbert Shang Wui; Zeraibi, Noureddine. (2021) Optimization of WAG in real geological field using rigorous soft computing techniques and nature-inspired algorithms. Journal of Petroleum Science and Engineering
    Academic article
  • Yousefi, Seyed Hamidreza; Rashidi, Fariborz; Sharifi, Mohammad; Soroush, Mohammad; Ghahfarokhi, Ashkan Jahanbani. (2021) Interwell connectivity identification in immiscible gas-oil systems using statistical method and modified capacitance-resistance model: a comparative study. Journal of Petroleum Science and Engineering
    Academic article
  • Amar, Menad Nait; Ghahfarokhi, Ashkan Jahanbani; Ng, Cuthbert Shang Wui. (2021) Predicting wax deposition using robust machine learning techniques. Petroleum
    Academic article
  • Egbe, Daniel Isong Otu; Ghahfarokhi, Ashkan Jahanbani; Amar, Menad Nait; Torsæter, Ole. (2021) Application of Low-Salinity Waterflooding in Carbonate Cores: A Geochemical Modeling Study. Natural Resources Research
    Academic article
  • Ng, Cuthbert Shang Wui; Ghahfarokhi, Ashkan Jahanbani; Amar, Menad Nait. (2021) Application of nature-inspired algorithms and artificial neural network in waterflooding well control optimization. Journal of Petroleum Exploration and Production Technology
    Academic article
  • Ng, Cuthbert Shang Wui; Ghahfarokhi, Ashkan Jahanbani; Amar, Menad Nait; Torsæter, Ole. (2021) Smart Proxy Modeling of a Fractured Reservoir Model for Production Optimization: Implementation of Metaheuristic Algorithm and Probabilistic Application. Natural Resources Research
    Academic article

2020

  • Nourani, Meysam; Schovsbo, Niels Hemmingsen; Ghahfarokhi, Ashkan Jahanbani; Nielsen, Carsten Møller; Sigalas, Lykourgos; Meyer, Aurelien Gabriel. (2020) A predictive model for the wettability of chalk. SN Applied Sciences
    Academic article
  • Ghahfarokhi, Ashkan Jahanbani; Mavroudi, Anna. (2020) Flipped classroom in engineering education: the views of the main stakeholders. Læring om læring
    Academic article
  • Amar, Menad Nait; Zeraibi, Noureddine; Ghahfarokhi, Ashkan Jahanbani. (2020) Applying hybrid support vector regression and genetic algorithm to water alternating CO2 gas EOR. Greenhouse Gases: Science and Technology
    Academic article
  • Amar, Menad Nait; Ghahfarokhi, Ashkan Jahanbani. (2020) Prediction of CO2 diffusivity in brine using white-box machine learning. Journal of Petroleum Science and Engineering
    Academic article
  • Amar, Menad Nait; Ghahfarokhi, Ashkan Jahanbani; Zeraibi, Noureddine. (2020) Predicting thermal conductivity of carbon dioxide using group of data-driven models. Journal of the Taiwan Institute of Chemical Engineers
    Academic article

2015

  • Ghahfarokhi, Ashkan Jahanbani; Kleppe, Jon; Jelmert, Tom Aage. (2015) Well Test Analysis, Application to Thermal Recovery Processes for Reservoir Characterization. NTNU-trykk NTNU-trykk
    Doctoral dissertation

Journal publications

  • Mao, Jinjie; Ghahfarokhi, Ashkan Jahanbani. (2026) Accelerating multi-well placement optimization with machine learning-based proxy models for CO2 enhanced oil recovery and storage. Applied Computing and Geosciences
    Academic article
  • Redouane, Kheireddine; Ghahfarokhi, Ashkan Jahanbani. (2025) A New Hybrid Intelligent System for Predicting Bottom-Hole Pressure in Vertical Oil Wells: A Case Study. Algorithms
    Academic article
  • Zeynolabedini, Mohammadsajjad; Ghahfarokhi, Ashkan Jahanbani. (2025) Vertical Equilibrium Model Analysis for CO2 Storage. Gases
    Academic article
  • Mohammadi, Behnam Tavagh; Ghahfarokhi, Ashkan Jahanbani; Grimstad, Alv-Arne. (2025) A review of modeling approaches for CO2 injection into depleted gas reservoirs: Coupling transient wellbore and reservoir dynamics. International Journal of Greenhouse Gas Control
    Academic article
  • Mao, Jinjie; Ghahfarokhi, Ashkan Jahanbani. (2024) A Review of Intelligent Decision-Making Strategy for Geological CO2 Storage: Insights from Reservoir Engineering. Geoenergy Science and Engineering
    Academic article
  • Amiri, Behzad; Ghahfarokhi, Ashkan Jahanbani; Rocca, Vera; Ng, Cuthbert Shang Wui. (2024) Optimization of Offshore Saline Aquifer CO2 Storage in Smeaheia Using Surrogate Reservoir Models. Algorithms
    Academic article
  • Ng, Cuthbert Shang Wui; Ghahfarokhi, Ashkan Jahanbani; Wiranda, Wilson. (2023) Fast Well Control Optimization with Two-Stage Proxy Modeling. Energies
    Academic article
  • Matthew, D Aqnan Marusaha; Ghahfarokhi, Ashkan Jahanbani; Ng, Cuthbert Shang Wui; Amar, Menad Nait. (2023) Proxy Model Development for the Optimization of Water Alternating CO2 Gas for Enhanced Oil Recovery. Energies
    Academic article
  • Ng, Cuthbert Shang Wui; Djema, Hakim; Amar, Menad Nait; Ghahfarokhi, Ashkan Jahanbani. (2022) Modeling interfacial tension of the hydrogen-brine system using robust machine learning techniques: Implication for underground hydrogen storage. International Journal of Hydrogen Energy
    Academic article
  • Ng, Cuthbert Shang Wui; Ghahfarokhi, Ashkan Jahanbani. (2022) Optimizing initiation time of waterflooding under geological uncertainties with Value of Information: Application of simulation-regression approach. Journal of Petroleum Science and Engineering
    Academic article
  • Ng, Cuthbert Shang Wui; Ghahfarokhi, Ashkan Jahanbani. (2022) Adaptive Proxy-based Robust Production Optimization with Multilayer Perceptron. Applied Computing and Geosciences
    Academic article
  • Ng, Cuthbert Shang Wui; Ghahfarokhi, Ashkan Jahanbani; Amar, Menad Nait. (2022) Production optimization under waterflooding with Long Short-Term Memory and metaheuristic algorithm. Petroleum
    Academic article
  • Ng, Cuthbert Shang Wui; Amar, Menad Nait; Ghahfarokhi, Ashkan Jahanbani; Imsland, Lars Struen. (2022) A Survey on the Application of Machine Learning and Metaheuristic Algorithms for Intelligent Proxy Modeling in Reservoir Simulation. Computers and Chemical Engineering
    Academic article
  • Eliasson, Peder; Ringstad, Cathrine; Marashi, Vahid; Bergmo, Per Eirik Strand; Ghahfarokhi, Ashkan Jahanbani; Porté, Julien. (2022) Using the Aurora model for CO2 storage modelling and CSEM sensitivity assessment. Social Science Research Network (SSRN)
    Academic article
  • Ghahfarokhi, Ashkan Jahanbani. (2021) Promoting Student-Active Learning. Læring om læring
    Academic article
  • Ng, Cuthbert Shang Wui; Ghahfarokhi, Ashkan Jahanbani; Amar, Menad Nait. (2021) Well production forecast in Volve field: Application of rigorous machine learning techniques and metaheuristic algorithm. Journal of Petroleum Science and Engineering
    Academic article
  • Amar, Menad Nait; Ghahfarokhi, Ashkan Jahanbani; Ng, Cuthbert Shang Wui; Zeraibi, Noureddine. (2021) Optimization of WAG in real geological field using rigorous soft computing techniques and nature-inspired algorithms. Journal of Petroleum Science and Engineering
    Academic article
  • Yousefi, Seyed Hamidreza; Rashidi, Fariborz; Sharifi, Mohammad; Soroush, Mohammad; Ghahfarokhi, Ashkan Jahanbani. (2021) Interwell connectivity identification in immiscible gas-oil systems using statistical method and modified capacitance-resistance model: a comparative study. Journal of Petroleum Science and Engineering
    Academic article
  • Amar, Menad Nait; Ghahfarokhi, Ashkan Jahanbani; Ng, Cuthbert Shang Wui. (2021) Predicting wax deposition using robust machine learning techniques. Petroleum
    Academic article
  • Egbe, Daniel Isong Otu; Ghahfarokhi, Ashkan Jahanbani; Amar, Menad Nait; Torsæter, Ole. (2021) Application of Low-Salinity Waterflooding in Carbonate Cores: A Geochemical Modeling Study. Natural Resources Research
    Academic article
  • Ng, Cuthbert Shang Wui; Ghahfarokhi, Ashkan Jahanbani; Amar, Menad Nait. (2021) Application of nature-inspired algorithms and artificial neural network in waterflooding well control optimization. Journal of Petroleum Exploration and Production Technology
    Academic article
  • Ng, Cuthbert Shang Wui; Ghahfarokhi, Ashkan Jahanbani; Amar, Menad Nait; Torsæter, Ole. (2021) Smart Proxy Modeling of a Fractured Reservoir Model for Production Optimization: Implementation of Metaheuristic Algorithm and Probabilistic Application. Natural Resources Research
    Academic article
  • Nourani, Meysam; Schovsbo, Niels Hemmingsen; Ghahfarokhi, Ashkan Jahanbani; Nielsen, Carsten Møller; Sigalas, Lykourgos; Meyer, Aurelien Gabriel. (2020) A predictive model for the wettability of chalk. SN Applied Sciences
    Academic article
  • Ghahfarokhi, Ashkan Jahanbani; Mavroudi, Anna. (2020) Flipped classroom in engineering education: the views of the main stakeholders. Læring om læring
    Academic article
  • Amar, Menad Nait; Zeraibi, Noureddine; Ghahfarokhi, Ashkan Jahanbani. (2020) Applying hybrid support vector regression and genetic algorithm to water alternating CO2 gas EOR. Greenhouse Gases: Science and Technology
    Academic article
  • Amar, Menad Nait; Ghahfarokhi, Ashkan Jahanbani. (2020) Prediction of CO2 diffusivity in brine using white-box machine learning. Journal of Petroleum Science and Engineering
    Academic article
  • Amar, Menad Nait; Ghahfarokhi, Ashkan Jahanbani; Zeraibi, Noureddine. (2020) Predicting thermal conductivity of carbon dioxide using group of data-driven models. Journal of the Taiwan Institute of Chemical Engineers
    Academic article

Part of book/report

  • Ghahfarokhi, Ashkan Jahanbani. (2024) Applications of Data-Driven Techniques in Reservoir Simulation and Management.
    Academic chapter/article/Conference paper

Report

  • Ng, Cuthbert Shang Wui; Ghahfarokhi, Ashkan Jahanbani. (2023) Data-Driven Reservoir Modeling: Application of Proxy Models in Reservoir Management. Norges teknisk-naturvitenskapelige universitet Norges teknisk-naturvitenskapelige universitet
    Doctoral dissertation
  • Marashi, Vahid; Ghahfarokhi, Ashkan Jahanbani; Bergmo, Per Eirik Strand; Ringstad, Cathrine. (2022) Northern Lights Project: Aurora Model Investigation with Sensitivity Studies and Using Different Simulation Methods. Norges teknisk-naturvitenskapelige universitet Norges teknisk-naturvitenskapelige universitet
    Masters thesis
  • Ghahfarokhi, Ashkan Jahanbani; Kleppe, Jon; Jelmert, Tom Aage. (2015) Well Test Analysis, Application to Thermal Recovery Processes for Reservoir Characterization. NTNU-trykk NTNU-trykk
    Doctoral dissertation

Teaching

Courses

  • PG8601 - Specialized Reservoir Simulation Models
  • TPG4560 - Petroleum Geoscience and Engineering, Specialization Project
  • TPG4145 - Reservoir Fluids and Flow
  • TPG4255 - CO2 Storage: Operation and Integrity of Engineered CO2 Storage
  • TPG4565 - Petroleum Geoscience and Engineering, Specialization Course
  • TPG4920 - Petroleum Geoscience and Engineering, Master's Thesis

I completed the NTNU’s 200-hour basic competence program for university pedagogical education in 2020. I am currently teaching masters and PhD courses (complete list below) including reservoir simulation and reservoir fluids (PVT) and flow:

  • TPG4145- Reservoir Fluids and Flow (2019-)
  • PG8601- Specialized Reservoir Simulation Models (2020-)
  • TPG4112- Geomechanics and Flow in Porous Media (2023)
  • TMR4325- Engineering and ICT, introduction (2019-2022)
  • TPG4115- Reservoir Property Determination by Core Analysis and Well Testing (2012-2015, 2019-2020)
  • TPG4117- Unconventional Reservoirs (2012-2014)
  • TPG4177- Carbonate Reservoir Characterization (2012-2014)

I was also the project manager and lecturer in Teknostart course (for 1st year Engineering students) in both Geoscience and Petroleum (2019) and I&IKT (2020) study programs at NTNU.

Supervision

I have been the supervisor for 20 master students at NTNU and 4 Erasmus+ exchange students. I have been the main supervisor for 4 PhD candidates:

  • 2022-2025: Jinjie Mao, Advanced Modeling – Optimization Framework for Sustainable Utilization of the Subsurface by CO2 Injection
  • 2021-2024: Markus Hays Nielsen, End-to-end fluid model development- Doctoral Innovation Project in Industry funded by Research Council of Norway and Whitson AS
  • 2019-2022: Cuthbert Shang Wui Ng, Data-driven reservoir modeling (completed)
  • 2023-2026: Behnam Tavagh Mohammadi, CO2 storage in depleted fields

Also:

  • 2023-2024: Luciano António Zandamela & Luis Filipe De Pina Jr, CO2 injection and storage modelling

I was the main supervisor for Dr. Kheireddine Redouane, an EU MSCA-PF postdoc on Smart Field Development 2023-2025 (HORIZON-MSCA-2022-PF-01, 101111369). 

I was also the main supervisor for EU MSCA-IF postdoc on Smart Proxy Models for Reservoir Simulation (H2020-MSCA-2019, project SPM-RS 895406), which was terminated due to COVID19.

Outreach

2026

  • Poster
    Cornelio, Jodel; Zhao, Wenhan; Mao, Jinjie; Ghahfarokhi, Ashkan Jahanbani; Jafarpour, Behnam. (2026) Spatio–Temporal Disentanglement Framework for Knowledge Transfer Between CO2-EOR and CO2 Storage. CCUS 2026 , The Woodlands, Texas 30.03.2026 - 01.04.2026

2025

  • Lecture
    Ghahfarokhi, Ashkan Jahanbani. (2025) ML-Powered Reservoir Simulation and Optimization. SPE Trondheim Section Christmas Party 10.12.2025 - 10.12.2025
  • Poster
    Mao, Jinjie; Hannanu, Muhammad Iffan; Ghahfarokhi, Ashkan Jahanbani; Hovd, Morten. (2025) Comparative Analysis of Derivative-Free Optimization Algorithms in Geological CO2 Storage Well Placement Problem with Nonlinear Constraints. SPE Reservoir Simulation Conference , Galveston, Texas 25.03.2025 - 27.03.2025
  • Poster
    Redouane, Kheireddine; Ghahfarokhi, Ashkan Jahanbani. (2025) Hybrid Optimization Framework for Well-Placement Using Gradient-Free Algorithm and Physics-Informed Artificial Intelligence. SPE Reservoir Simulation Conference , Galveston, Texas 25.03.2025 - 27.03.2025
  • Poster
    Redouane, Kheireddine; Hatleli, Vegard; Freitas, Vinicius Rafael de; Ghahfarokhi, Ashkan Jahanbani. (2025) A Hybrid Model of ANN and KNN for Predicting Reservoir Properties in Geothermal Resource Development. 86th EAGE Annual Conference & Exhibition , Toulouse 02.06.2025 - 05.06.2025
  • Academic lecture
    Mao, Jinjie; Ghahfarokhi, Ashkan Jahanbani. (2025) Leveraging Machine Learning to Optimize Well Placement for Geological CO2 Storage and Utilization. InterPore 2025 , Albuquerque 19.05.2025 - 22.05.2025

2024

  • Lecture
    Ghahfarokhi, Ashkan Jahanbani. (2024) Some tips, opportunities/challenges, supervisor perspective/experience. NTNU MSCA – Postdoctoral Fellowships Symposium 2024 14.05.2024 - 15.05.2024
  • Poster
    Yu, Jiaxin; Mao, Jinjie; Lenes, Marit Rønnekleiv; Redouane, Kheireddine; Mohammadi, Behnam Tavagh; Ghahfarokhi, Ashkan Jahanbani. (2024) Leveraging AI for Geothermal Energy: Seismic Inversion Using Deep Learning with SCAN Dataset. BRU21 Conference 2024 , Trondheim 03.06.2024 - 04.06.2024
  • Lecture
    Ghahfarokhi, Ashkan Jahanbani. (2024) Machine-Learning for Efficient Simulation and Optimization of Geological CO2 Storage. Netherlands Energy Day , The Hague 17.06.2024 - 17.06.2024
  • Academic lecture
    Redouane, Kheireddine; Ghahfarokhi, Ashkan Jahanbani; Benamara, Mustapha; Boussaber, Marwa; Sedoud, Maroua; Guidoum, Yousra. (2024) Flow Rate Prediction in a Real Oil Field Using Random Forest Algorithm. EAGE Annual 2024 , Oslo 10.06.2024 - 13.06.2024
  • Academic lecture
    Ghahfarokhi, Ashkan Jahanbani. (2024) Student-active class with dynamic reference group and group project-based learning. Læringsfestivalen digital 2024 19.11.2024 - 20.11.2024
  • Academic lecture
    Redouane, Kheireddine; Ghahfarokhi, Ashkan Jahanbani. (2024) Machine learning applications in reservoir simulation and management. Reservoir & Production Management Conference , Stavanger 26.11.2024 - 27.11.2024
  • Academic lecture
    Redouane, Kheireddine; Ghahfarokhi, Ashkan Jahanbani; Benamara, Mustapha; Zeraibi, Noureddine. (2024) Accurate prediction of bottom-hole pressure in vertical wells of Algerian fields using a new hybrid intelligent system based on neural network-fuzzy logic and PSO algorithm. 3rd Edition of the International Conference on Oil, Gas, and Petroleum Engineering (IOGP 2024) , Rome, Italy 19.09.2024 - 21.09.2024
  • Academic lecture
    Ghahfarokhi, Ashkan Jahanbani. (2024) Fast reservoir simulation and optimization for CO2 storage. NEXT 2024 - New Energy X Subsurface , Bergen 24.01.2024 - 25.01.2024
  • Academic lecture
    Mao, Jinjie; Ghahfarokhi, Ashkan Jahanbani. (2024) Intelligent Multi-Well Placement Optimization for CO2-EOR and Storage (CEORS) in Complex Reservoirs. The 19th European Conference on the Mathematics of Geological Reservoirs (ECMOR 2024) , Oslo 02.09.2024 - 05.09.2024
  • Academic lecture
    Ghahfarokhi, Ashkan Jahanbani. (2024) Keynote Speech: Application of Proxy Models in Reservoir Simulation and Management. The International Conference on Oil & Gas for Energy Security (ICOGES 2024) 16.02.2024 - 17.02.2024

2023

  • Academic lecture
    Ghahfarokhi, Ashkan Jahanbani. (2023) Testing different tools for CO2 injection and storage modelling in the Aurora storage site. Fourth EAGE Eastern Mediterranean Workshop , Athens 04.12.2023 - 06.12.2023
  • Lecture
    Ghahfarokhi, Ashkan Jahanbani. (2023) Pep talk for NTNU students about Society of Petroleum Engineers. SPE Autumn party 04.10.2023 - 04.10.2023
  • Academic lecture
    Abdelkareem, Sherif; Grimstad, Alv-Arne; Bergmo, Per Eirik Strand; Gaol, Calvin; Ghahfarokhi, Ashkan Jahanbani; Lothe, Ane Elisabet. (2023) Dynamic CO2 Storage Capacity for a Fault-Bounded Structure in the Trøndelag Platform, Offshore Mid-Norway. EAGE Annual 2023 , Vienna 05.06.2023 - 08.06.2023
  • Academic lecture
    Ghahfarokhi, Ashkan Jahanbani. (2023) CO2 storage modeling and optimization (CEORS Gemini Center research). Invited talk at Memorial University of Newfoundland 07.09.2023 - 07.09.2023
  • Academic lecture
    Mao, Jinjie; Ghahfarokhi, Ashkan Jahanbani. (2023) Impact of Uncertainties and Decision Variables on CO2 Enhanced Oil Recovery and Storage: A Numerical Investigation. EAGE Annual 2023 , Vienna 05.06.2023 - 08.06.2023
  • Poster
    Wiranda, Wilson; Ghahfarokhi, Ashkan Jahanbani; Ringstad, Cathrine; Grimstad, Alv-Arne. (2023) Simulation of CO2 Injection and Development of Proxy Models for Svelvik CO2 Field Lab. InterPore 2023 , Edinburgh 22.05.2023 - 25.05.2023
  • Academic lecture
    Zeynolabedini, Mohammadsajjad; Ghahfarokhi, Ashkan Jahanbani; Bergmo, Per Eirik Strand. (2023) MRST vertical equilibrium model analysis for CO2 storage. MRST Symposium 2023 26.09.2023 - 27.09.2023
  • Academic lecture
    Ghahfarokhi, Ashkan Jahanbani; Chaturvedi, Arpita. (2023) Well Control Optimization using Smart Proxy Models. EAGE Digitalization 2023 20.03.2023 - 22.03.2023

2022

  • Academic lecture
    Ghahfarokhi, Ashkan Jahanbani. (2022) Implementing student-active learning: use of flipped classroom and project-based assessment. Læringsfestivalen digital 2022 23.11.2022 - 23.11.2022
  • Lecture
    Ghahfarokhi, Ashkan Jahanbani. (2022) CEORS Gemini center (CO2 EOR and Storage). The November Conference - Brazil and Norway , Rio de Janeiro 07.11.2022 - 09.11.2022
  • Academic lecture
    Ghahfarokhi, Ashkan Jahanbani. (2022) Overview of BRU21, SUBPRO and CEORS at IGP/NTNU (Part 2)- CEORS Gemini-Center (2020-2024): CO2 Enhanced Oil Recovery & Storage. Joining Forces – Solving the energy challenge together 05.04.2022 - 06.04.2022
  • Poster
    Ghahfarokhi, Ashkan Jahanbani; Ng, Cuthbert Shang Wui; Amar, Menad Nait. (2022) Artificial Intelligence/Machine Learning for Sustainable Utilization of the Subsurface. GET2022- 3rd EAGE Global Energy Transition Conference & Exhibition 07.11.2022 - 09.11.2022
  • Academic lecture
    Ghahfarokhi, Ashkan Jahanbani. (2022) CEORS Gemini-Center (2020-2024): CO2 Enhanced Oil Recovery & Storage. Digital lunch meeting: Carbon Capture and Storage 16.02.2022 - 16.02.2022
  • Lecture
    Ghahfarokhi, Ashkan Jahanbani. (2022) Fractured carbonates well testing. Expert lecture for DNO 16.12.2022 - 16.12.2022
  • Poster
    Eliasson, Peder; Ringstad, Cathrine; Marashi, Vahid; Bergmo, Per Eirik Strand; Ghahfarokhi, Ashkan Jahanbani; Porté, Julien. (2022) Using the Aurora model for CO2 storage modelling and CSEM sensitivity assessment. GHGT-16 conference 23.10.2022 - 27.10.2022

2021

  • Academic lecture
    Ghahfarokhi, Ashkan Jahanbani. (2021) Promoting Student-Active Learning in Two Engineering Courses. Læringsfestivalen 2021 10.05.2021 - 11.05.2021

2020

  • Academic lecture
    Ghahfarokhi, Ashkan Jahanbani; Mavroudi, Anna. (2020) Critical reflection on the use of flipped classroom in an engineering university course. Webinarfestivalen 2020 24.11.2020 - 25.11.2020
  • Academic lecture
    Fedorov, Semyon; Hagspiel, Verena; Lerdahl, Thomas; Idris, Abdulrahman; Ghahfarokhi, Ashkan Jahanbani. (2020) Staged Development of a Marginal Oil Field Under Technical and Market Uncertainty: The Olympus Case. SPE Annual Technical Conference and Exhibition , Virtual 26.10.2020 - 29.10.2020

2019

  • Poster
    Ghahfarokhi, Ashkan Jahanbani; Torsæter, Ole. (2019) Modeling Wettability Alteration in Low Salinity Water Flooding. 81st EAGE Conference & Exhibition 2019 , London 03.06.2019 - 06.06.2019

2018

  • Poster
    Ghahfarokhi, Ashkan Jahanbani; Torsæter, Ole. (2018) Numerical Simulation Of Low Salinity Water Flooding: Wettability Alteration Considerations. ECMOR XVI - 16th European Conference on the Mathematics of Oil Recovery , Barcelona 03.09.2018 - 06.09.2018
  • Lecture
    Ghahfarokhi, Ashkan Jahanbani; Kleppe, Jon; Torsæter, Ole. (2018) In-depth reservoir placement of pH-sensitive polymer gels - Importance of geochemical reactions in numerical simulations. 80th EAGE Conference and Exhibition 2018 , Copenhagen 11.06.2018 - 14.06.2018

2017

  • Academic lecture
    Ghahfarokhi, Ashkan Jahanbani; Kleppe, Jon; Torsæter, Ole. (2017) Key Concepts in the Simulation Study of a New Polymer Gel System for Enhanced Oil Recovery. 79th EAGE Conference and Exhibition , Paris 12.06.2017 - 15.06.2017
  • Poster
    Ghahfarokhi, Ashkan Jahanbani; Kleppe, Jon; Torsæter, Ole. (2017) Numerical Simulation of a Polymer Gel System for In-Depth Conformance Control. 9th International Conference on Porous Media & Annual Meeting (Interpore) , Rotterdam 08.05.2017 - 11.05.2017
  • Academic lecture
    Ghahfarokhi, Ashkan Jahanbani; Kleppe, Jon; Torsæter, Ole. (2017) A Comprehensive Simulation Study of Application of Polymer Gels for Enhancing Oil Recovery. Colloids and Complex fluids for Energies – C2E IFPEN 04.12.2017 - 06.12.2017
  • Poster
    Ghahfarokhi, Ashkan Jahanbani; Kleppe, Jon; Torsæter, Ole. (2017) Numerical Simulation of pH-Sensitive Polymer Gel for In-Depth Conformance Control. Asia Petroleum and Geoscience Conference & Exhibition 2017 20.11.2017 - 21.11.2017

2016

  • Poster
    Ghahfarokhi, Ashkan Jahanbani; Kleppe, Jon; Torsæter, Ole. (2016) Investigation of Water Diversion by a Gel System for Enhancing Oil Recovery. IOR Norway 2016 , Stavanger 26.04.2016 - 27.04.2016
  • Poster
    Ghahfarokhi, Ashkan Jahanbani; Kleppe, Jon; Torsæter, Ole. (2016) Investigation of Water Diversion by a Novel Polymer Gel System for Enhancing Oil Recovery. 15th European Conference on the Mathematics of Oil Recovery (ECMOR XV) 29.08.2016 - 01.09.2016
  • Academic lecture
    Ghahfarokhi, Ashkan Jahanbani; Kleppe, Jon; Torsæter, Ole. (2016) Simulation study of application of a water diverting gel in enhanced oil recovery. SPE Europec featured at 78th EAGE Conference and Exhibition. , Vienna 30.05.2016 - 02.06.2016

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