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Assoc Prof Dr. Tarek Ganat, Sultan Qaboos University, Oman: Petroleum Engineering, Most Cited Article Award

Summary:

Tarek Ganat is an accomplished professional with over 25 years of experience in the oil and gas industry and academia. His expertise spans production and reservoir engineering, with a focus on reservoir development planning, simulation, forecasting, and enhanced oil recovery (EOR) studies.

Application of supervised machine learning paradigms in the prediction of petroleum reservoir properties: Comparative analysis of ANN and SVM models

Objective:

  • Prediction of petroleum reservoir properties using supervised machine learning.
  • Comparative analysis of Artificial Neural Networks (ANN) and Support Vector Machines (SVM) models.

Authors:

  • DA Otchere
  • TOA Ganat
  • R Gholami
  • S Ridha

Journal:

  • Published in the Journal of Petroleum Science and Engineering.

Year:

  • The paper was published in the year 2021.

Citations:

  • The paper has received a substantial number of citations, indicating its impact and relevance in the research community.

Focus:

  • The primary focus is on the application of machine learning in predicting properties related to petroleum reservoirs.
  • Specifically, the study compares the performance of ANN and SVM models in this predictive task.

Significance:

  • The comparative analysis provides insights into the strengths and weaknesses of ANN and SVM models in the context of petroleum reservoir characterization.
  • The research contributes to advancements in reservoir engineering and the application of machine learning techniques in the petroleum industry.

Professional Profile:

๐ŸŽ“ Education:

  • PhD in Petroleum Engineering, IIUM-Kuala Lumpur, Malaysia (2016)
  • MSc Eng in Engineering Management, Tripoli University, Libya (2005)
  • MSc Eng in Petroleum Engineering, ISE University-Spain/Madrid (2003)
  • BSc in Petroleum Engineering, Tripoli University, Libya (1992)

Research Focus:

Reservoir Engineering:

  • Development of innovative reservoir engineering techniques.
  • Simulation modeling for reservoir management.

Enhanced Oil Recovery (EOR):

  • Studies and applications of enhanced oil recovery methods.
  • Investigating the impact of EOR on reservoir dynamics.

Fluid Flow and Multiphase Flow Measurements:

  • Analysis of fluid flow patterns in oil wells.
  • Reliability analysis of multiphase flow measurements.

Machine Learning Applications:

  • Developing machine learning-based models for surface wettability determination.
  • Integration of artificial intelligence in petroleum engineering.

Environmental Impact Studies:

  • Experimental studies evaluating the environmental impacts of produced water on ecosystems.

Rock Properties and Reservoir Engineering:

  • Fundamentals of reservoir rock properties.
  • Practical aspects of rock properties in reservoir engineering.

Teaching and Education in Petroleum Engineering:

  • Effective teaching methodologies in petroleum engineering.
  • Curriculum development for undergraduate and postgraduate programs.

Pressure Transient Analysis:

  • Modern approaches to pressure transient analysis in petroleum reservoirs.

๐Ÿ“š Teaching Experience:

University (Undergraduate and Postgraduate):

  • Reservoir Engineering
  • Applied Reservoir Engineering I & II
  • Production Technology I & II
  • Introduction to Fluid Mechanics
  • Pressure Transient
  • Enhanced Oil Recovery
  • Reservoir Rock and Fluid Properties

Training Centers:

  • Production Technology
  • Pressure Transient
  • PVT Fluid Analysis
  • Reserve Estimations
  • Scale Analysis

๐ŸŒ Key Competencies:

  • Over 25 years in oil & gas development planning, production forecasting, and reservoir management.
  • Specialist in reservoir development planning, simulation, monitoring, and reserves estimation.
  • Expertise in performance review and recovery improvement of major fields.
  • Leadership in multinational and multicultural joint ventures.
  • Strong mentoring skills and experience in advising new field acquisition and prospect evaluation.

๐Ÿ‘จโ€๐Ÿ’ผ Employment History: Sultan Qaboos University, Muscat, Oman (September 2021 โ€“ Present)

  • Faculty member in Petroleum Engineering.
  • Subjects taught: Production Engineering, Advanced Production Engineering, Well Stimulation, Field Processing of Natural Gas.
  • Advising undergraduate and graduate students.
  • Actively engaged in research to contribute to the field.

๐Ÿ“– Professional Books:

Tarek Ganat, (2019). “Fundamentals of Reservoir Rock Properties” Published by Springer, ISBN: 9783030281397. Link. doi.org/10.1007/978-3-030-28140-3_1.

Tarek Ganat (2020). “Technical Guidance for Petroleum Exploration and Production Plans”, Published by Springer. DOI:10.1007/978-3-030-45250-6.

Tarek Ganat and Amr Badawi (2021). “Rock Properties Reservoir Engineering Practical View”, Published by Springer. DOI.org/10.1007/978-3-030-87462-9.

Tare Ganat (2023). “Modern Pressure Transient Analysis of Petroleum Reservoirs.” DOI:https://doi.org/10.1007/978-3-031-28889-0. Published by Springer Cham.

“Advancements in Chemical Enhanced Oil Recovery.” Tushar Sharma, Krishna Raghav, Tarek Ganat, Imtiaz Ali. ISBN: 9781774915080. Published by Elsevier, November, 2023.

Publication Top Noted:

Title: Application of supervised machine learning paradigms in the prediction of petroleum reservoir properties: Comparative analysis of ANN and SVM models

  • Authors: DA Otchere, TOA Ganat, R Gholami, S Ridha
  • Journal: Journal of Petroleum Science and Engineering
  • Year: 2021
  • Citations: 255

Title: Application of gradient boosting regression model for the evaluation of feature selection techniques in improving reservoir characterization predictions

  • Authors: DA Otchere, TOA Ganat, JO Ojero, BN Tackie-Otoo, MY Taki
  • Journal: Journal of Petroleum Science and Engineering
  • Year: 2022
  • Citations: 64

Title: Emerging applications of nanomaterials in chemical enhanced oil recovery: Progress and perspective

  • Authors: N Lashari, T Ganat
  • Journal: Chinese Journal of Chemical Engineering
  • Year: 2020
  • Citations: 61

Title: A novel custom ensemble learning model for an improved reservoir permeability and water saturation prediction

  • Authors: DA Otchere, TOA Ganat, R Gholami, M Lawal
  • Journal: Journal of Natural Gas Science and Engineering
  • Year: 2021
  • Citations: 42

Title: A perspective on the potential application of bio-inhibitors for shale stabilization during drilling and hydraulic fracturing processes

  • Authors: AK Quainoo, BM Negash, CB Bavoh, TO Ganat, BN Tackie-Otoo
  • Journal: Journal of Natural Gas Science and Engineering
  • Year: 2020
  • Citations: 42

Title: Chemical sand consolidation: From polymers to nanoparticles

  • Authors: FS Alakbari, ME Mohyaldinn, AS Muhsan, N Hasan, T Ganat
  • Journal: Polymers
  • Year: 2020
  • Citations: 37

Title: Recent advances in multifunctional proppant technology and increased well output with micro and nano proppants

  • Authors: DK Danso, BM Negash, TY Ahmed, N Yekeen, TAO Ganat
  • Journal: Journal of Petroleum Science and Engineering
  • Year: 2021
  • Citations: 34

Title: Fundamentals of reservoir rock properties

  • Author: TAAO Ganat
  • Publisher: Springer
  • Year: 2020
  • Citations: 29

 

 

Tarek Ganat | Petroleum Engineering | Most Cited Article Award

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