PhD Candidate at College of Petroleum Engineering and Geosciences, King Fahd university of Petroleum & Minerals, Saudi Arabia.
Abdulrahman Ahmed Al-Fakih is a leading researcher specializing in geothermal energy exploration and reservoir characterization, with a focus on applying machine learning techniques in the petroleum industry. His work encompasses a diverse array of topics, including the study of geothermal energy resources, reservoir property prediction, and the application of artificial intelligence in static formation temperature estimation. Through his numerous publications in reputable journals and conference proceedings, Abdulrahman has demonstrated a keen insight into leveraging advanced data analysis methods to enhance understanding and utilization of geothermal resources. He is recognized for his collaborative efforts and interdisciplinary approach, which have contributed significantly to advancing knowledge in geothermal energy exploration and reservoir characterization. Abdulrahman’s dedication to research excellence underscores his commitment to addressing critical challenges and driving innovation in the energy sector.
Professional Profiles:
Education
Abdulrahman Ahmed Al-Fakih is currently pursuing his Ph.D. at King Fahd University of Petroleum and Minerals in Dhahran, Saudi Arabia, from September 2021 to July 2025. His research focuses on the application of artificial intelligence in geophysics, petroleum, and geothermal fields. Prior to this, he obtained his Master’s degree in Energy Resources from the Department of Oil and Gas Fields Development Engineering at China University of Geosciences (Beijing), China, from September 2017 to July 2020. His master’s research centered on Geothermal Energy and Petroleum Engineering, alongside machine and deep learning. Abdulrahman holds a Bachelor’s degree in Petroleum Engineering from Hadhramout University of Science & Technology in Hadhramout, Yemen, which he completed between September 2007 and July 2012. His undergraduate studies covered various aspects of petroleum engineering, including drilling, directional drilling, mud logging, wireline, reservoir engineering, and production engineering. His educational journey began at AbdulNasser, Capital Trust Secondary School in Sana’a, Yemen, where he completed his high school education from September 2003 to July 2006, with a strong emphasis on foundational sciences and mathematics.
Professional Experience
Abdulrahman Ahmed Al-Fakih is currently a Teaching Assistant at King Fahd University of Petroleum and Minerals in Dhahran, where he has been assisting in geophysics courses since September 2021. Previously, he taught Arabic to bachelor’s and master’s students at Beijing Language and Culture University from 2016 to 2020. His industry experience includes internships at Weatherford Oil Tool Middle East Ltd. (2013-2014), where he worked on Tubular Running Services and Wireline Services, and Safer Exploration and Production Operation Company (SEPOC) (2014), where he gained experience in production and safety systems. Additionally, he interned at Calvalley Petroleum in Yemen (2012-2013), focusing on well-site and CPF operations, and at the Petroleum Exploration and Production Authority (PEPA) (2012-2014), training in exploration, drilling, reservoir engineering, and production operations. These experiences have honed his technical skills and adaptability in various practical environments.
Research Interest
Abdulrahman Ahmed Al-Fakih’s research interests focus on the intersection of artificial intelligence and geosciences. His work primarily involves the application of machine learning and deep learning techniques to geophysics, petroleum, and geothermal fields. Abdulrahman is dedicated to exploring innovative AI solutions for complex problems in these areas, leveraging his expertise to advance the understanding and efficiency of subsurface resource exploration and extraction. His research aims to enhance predictive models, optimize resource management, and improve the accuracy of geological and geophysical data interpretation. Through his contributions, he seeks to bridge the gap between cutting-edge technology and practical applications in energy resources and geophysical engineering.
Award and Honors
Abdulrahman Ahmed Al-Fakih has received several prestigious awards and honors throughout his academic and professional journey. In March 2023, he secured second place in the SPWLA Paper Contest, organized by SPWLA-KFUPM-Aramco RDD, recognizing his outstanding research presentation and paper submission. Demonstrating his leadership and community engagement, Abdulrahman was elected Vice-President of the Yemeni Students Union in Beijing, serving from December 2016 to December 2017. In March 2019, he showcased his research expertise by presenting on the Yemen-China Belt and Road Initiative and geothermal energy at the Seventh Annual Deep Geothermal Energy Conference in Beijing. Additionally, Abdulrahman excelled in the First Iranian Statistical Competition held in Tehran, Iran, in 2000. He achieved second place in the individual category for statistical software, highlighting his analytical skills, and also secured second place as part of a team, emphasizing his collaborative problem-solving abilities. These accolades underscore his commitment to excellence and his significant contributions to his field.
Research Skills
Abdulrahman Ahmed Al-Fakih is equipped with advanced research skills essential for his work in geophysics, petroleum, and geothermal energy. Proficient in machine learning and deep learning, he employs Python and MATLAB for data analysis and modeling. With strong analytical capabilities, Abdulrahman interprets complex datasets using geophysical and petroleum engineering software like Petrel and Eclipse. His adeptness in project management and teamwork ensures efficient collaboration and goal achievement. Known for his leadership and mentorship, he inspires others in their research pursuits. With a collaborative approach and commitment to excellence, Abdulrahman contributes significantly to advancing knowledge and innovation in his field.
Publications
- Study of geothermal energy resources of Yemen for electric power generation”
- Authors: A. Al-Fakih, K. Li
- Year: 2018
- Citations: 7
- “Estimating electrical resistivity from logging data for oil wells using machine learning”
- Authors: A. Al-Fakih, AF Ibrahim, S. Elkatatny, A. Abdulraheem
- Year: 2023
- Citations: 4
- “Estimation of bottom-hole temperature based on machine/deep learning”
- Authors: A. Al-Fakih, KW Li
- Year: 2021
- Citations: 3
- “Application of Artificial Intelligence in static Formation temperature estimation”
- Authors: A. Al-Fakih, S. Kaka
- Year: 2023
- Citations: 2
- “Reservoir Property Prediction in the North Sea Using Machine Learning”
- Authors: A. Al-Fakih, S. Kaka, AI Koeshidayatullah
- Year: 2023
- Citations: 2
- “Neuro-Fuzzy Approach for Gas Compressibility Factor Prediction”
- Authors: AA Al-Gathe, AM Al-Khudafi, A. Al-Fakih, AA Al-Wahbi
- Year: 2021
- Citations: 2
- “Exploring Machine Learning Techniques for Predicting Geothermal Temperature in Western Yemen”
- Authors: SIK Abdulrahman Al-Fakih, Abbas Alkhudafi, A. Koeshidayatullah
- Year: 2024
- “Deep Learning in Reservoir Characterization: a GAN-based Approach”
- Authors: AAA Al-Fakih, S. Kaka, A. Koeshidayatullah
- Year: 2024
- “Enhancing Geoscience Analysis: AI-Driven Imputation of Missing Data in Well Logging Using Generative Models”
- Authors: A. Al-Fakih, A. Koeshidayatullah
- Year: 2024
- “Unlocking the Potential of Geothermal Energy in Yemen: A Comparative Analysis with Global Trends”
- Authors: A. Al-Fakih, A. Al-Khudafi
- Year: 2024