Asma Kamil S. Aljuwaei
Programmer Remote Sensing Laboratory, Laboratory Technical Support & Services
Asma has joined the Department of Remote Sensing in 2020. She is graduated from the Arab Open University with a Bachelor’s Degree in Information Technology and computing. Asma has also worked for Al-Hazm Industrial Equipment in Dammam, KSA as an IT administrator for 5 years and 7 months.
Educational Qualification
- B.S. in Information technology and computing form Arab open University, Dammam KSA, 2010
- Diploma in Computer Science and Programming tech ,Dammam KSA, 2005
Mohammed Zaki Al-AbdulJabbar
3D Graphic Designer Remote Sensing Laboratory, Laboratory Technical Support & Services
Graduated from Multimedia University majoring in Virtual Reality. Passionate about building interactive 3D environments (Virtual Environments), 3D Modeling (3D content modeling) and a little into 3D animation.
Developing skills in 3D Game Engines in free time.
Educational Qualification
• Diploma in Management Information Systems, Institute of Industrial Management and Information Technology (IIMIT), Dhahran, KSA, 2004
• B.S. in Virtual Reality, Multimedia University, Malaysia, 2011
Research Interests
- VR, AR, MR, XR
- 3D Modeling & Animation
- C# Programming
Awards & Honors
- Our Team (Internship) has won the Golden Medal in the I’TEX Convention, Virtual Hajj Project, Kuala Lumpur, 2010
Bayan Abdullah Aldahlawi
Programmer Remote Sensing Laboratory, Laboratory Technical Support & Services
Ms. Bayan graduated with a bachelor’s in Computer Information Systems in 2018. Bayan excels with using the language of technology to present information in a clear and polished way. Besides website design, her skills also include graphic design, video editing. She is comfortable with modern web application architectures such as having a website front end and database back end, and she is experienced with querying information from sources such as the database and generating charts, tables, and graphs to present the information in a meaningful way. Bayan joined RSDS team on April 26th with her first day occurring during the work from home period. Despite the challenges, Bayan kept a positive attitude and put real effort into her assigned tasks, collaborating and working remotely. As regular work resumes back at the office. Bayan is on track to continue developing her technical skills in web development and she is the team authority on issues relating to the visual design and appearance of websites, apps, and other digital media. RSDS believes Bayan will continue to develop herself and contribute significantly to the strategic vision of the software development unit.
- Assisting the Research Administration office helping Mr. Abdulwahab to administer the new Elements system for tracking publications and Dimensions system.
- Working together with the other members of the software development unit on assigned tasks and especially working to enhance the visual design of the created software, and web applications including the design and layout of the various pages and the overall styling of the website and continuing to develop her range of technical expertise and ability to individually solve technical challenges, including the design of complete web applications including front end and back end
- Soliciting guidance and feedback in order to stay productively engaged in various projects
- Contributing to RSDS’s graphic design expertise as well as video editing capability, as needed
Educational Qualification
- B.S. in Computer Information Systems from Imam Abdulrahman Bin Faisal University (2018).
Ali Khaer el Seed Bashir
Team Lead Digitalization, Laboratory Technical Support & Services
Educational Qualification
- B.S., Computer Science with Honors (First Class), University of Nottingham, 2020
Research Interests
- Human Computer Interactions
- Proactive Systems
- Remote Sensing
- 3D data capture
- AI
- Computer Vision
Ahmed Al-Sabaa
Drilling Lab Specialist, Laboratory Technical Support & Services
Focused and results-oriented professional with relevant experience in oil and gas drilling operations. Possess aptitude in coordinating with rig crews, and utilizing equipment to drill directional wells and to conduct training in well control & HSE for different oilfield personnel.
Gained great analytical skills to detect gaps in research and construct scientific methodologies to tackle problems using new artificial intelligence techniques along with lab experiments and data science. Has a proven experience in scientific research by a good number of published journal papers beside conference papers and presentations.
Lecturer for undergraduate and graduate drilling engineering courses in highly ranked university. Recognized as an expert in drilling engineering topics and assisting professors in building new curriculums in addition to reviewing and improving courses to update them with the latest results and discoveries.
Educational Qualification
- M.S., Petroleum Engineering, King Fahd University of Petroleum & Minerals – KFUPM.
- B.S., Petroleum Engineering, Suez University.
Research Interests
- Well Control
- Artificial Intelligence Applications
- Drilling Engineering
Selected Publications
- Alsabaa, A., & Elkatatny, S. (2021). Improved Tracking of the Rheological Properties of Max-Bridge Oil-Based Mud Using Artificial Neural Networks. ACS Omega, acsomega.1c01230. https://doi.org/10.1021/acsomega.1c01230
- Alsabaa, A., Gamal, H. A., Elkatatny, S. M., & Abdulraheem, A. (2020a). Real-time prediction of rheological properties of all-oil mud using artificial intelligence. 54th U.S. Rock Mechanics/Geomechanics Symposium.
- Alsabaa, A., Gamal, H.A., Elkatatny, S. M., & and Abdulraheem, A. (2020). Real-Time Prediction of Rheological Properties of All-Oil Mud Using Artificial Intelligence. American Rock Mechanics Association. https://doi.org/https://www.onepetro.org/conference-paper/ARMA-2020-1645
- Alsabaa, A., Gamal, H., Elkatatny, S., & Abdelraouf, Y. (2022). Machine Learning Model for Monitoring Rheological Properties of Synthetic Oil-Based Mud. ACS Omega. https://doi.org/10.1021/ACSOMEGA.2C00404
- Alsabaa, A., Gamal, H., Elkatatny, S., & Abdulraheem, A. (2020c). Real-time prediction of rheological properties of invert emulsion mud using adaptive neuro-fuzzy inference system. Sensors (Switzerland), 20(6). https://doi.org/10.3390/s20061669
- Alsabaa, A., Gamal, H., Elkatatny, S., & Abdulraheem, A. (2021). New correlations for better monitoring the all-oil mud rheology by employing artificial neural networks. Flow Measurement and Instrumentation, 101914. https://doi.org/https://doi.org/10.1016/j.flowmeasinst.2021.101914
- Alsabaa, A., Gamal, H., Elkatatny, S., & al Shehri, D. A. (2022). Rheology Predictive Model Based on an Artificial Neural Network for Micromax Oil-Based Mud. Arabian Journal for Science and Engineering. https://doi.org/10.1007/S13369-022-07123-7
- Mahmoud, A. A., Elkatatny, S., Alsabaa, A., & Shehri, D. al. (2020). Functional neural networks-based model for prediction of the static young’s modulus for sandstone formations. 54th U.S. Rock Mechanics/Geomechanics Symposium, 1–8.
- Salem, A. M., Attia, M., Alsabaa, A., Abdelaal, A., & Tariq, Z. (2022a). Machine Learning Approaches for Compressibility Factor Prediction at High- and Low-Pressure Ranges. Arabian Journal for Science and Engineering. https://doi.org/10.1007/S13369-022-06905-3
Syed Shahul Hamid
Laboratory Technician, Laboratory Technical Support & Services
From February 1992 to the present day, Syed has been working as Technician II, Earth Sciences Department, KFUPM.
He is also a team member of many NSTIP, DSR & KACST projects assumed by the Geosciences Dept. and other KFUPM’s department faculties.
Educational Qualification
- M.S., Geology, Bangalore University, India
Jafar Sadeq Al Hamad
Research Assistant, Laboratory Technical Support & Services
Mr. Al Hamad is a very active young research assistant and served exceptionally to advance the Petroleum Engineering academic community. He nurtured from lab technician “2018 – 2021” and managed foundation of various labs to make industry impact. He oversees HSE, produced best practices and SOPs and passionately train faculty, undergrad and grad students. His leadership and support attributed to substantial new knowledge in research and publications.
Educational Qualification
- B.S. in Petroleum Engineering, King Fahd University of Petroleum and Minerals – 2008-2014
Research Interests
- Enhance Oil and Gas Recovery
- Rheological Applications
- Gas Storage
Selected Publications
- Saikia, T., Sultan, A. & Al Hamad, J.S. Effect of mixing method on the rheokinetics of pickering emulsified gel system used as disproportionate permeability reducer. Rheol Acta 59, 875–885 (2020). https://doi.org/10.1007/s00397-020-01249-x
- Olalekan S. Alade, Dhafer Al Shehri, Mohamed Mahmoud, Esmail M.A. Mokheimer, Jafar Al Hamad, Muhammad Shahzad Kamal, Ayman Al-Nakhli, K. Sasaki, A novel technique for heavy oil recovery using poly vinyl alcohol (PVA) and PVA-NaOH with ethanol additive,Fuel,Volume 285,2021,119128,ISSN 0016-2361, https://doi.org/10.1016/j.fuel.2020.119128
- Malki, Faisal Al, Alade, Olalekan, Hamad, Jafar Al, Shehri, Dahfer Al, and Mohamed Mahmoud. “Improved Viscosity Model for Bitumen-Solvent Binary Mixtures.” Paper presented at the International Petroleum Technology Conference, Riyadh, Saudi Arabia, February 2022.doi: https://doi.org/10.2523/IPTC-22561-EA
Bandar Dhaifallah Al-Otaibi
Laboratory Technician, Laboratory Technical Support & Services
Educational Qualification
- B.S. Major in Geology / Petroleum Geology and Sedimentology – King AbdulAziz University
Research Interests
- Sedimentology.
- Paleontology.
Selected Publications
- High-resolution X–ray diffraction datasets: Carbonates, Abduljamiu O. Amao , Bandar Al-Otaibi , Khalid Al-Ramadan, https://doi.org/10.1016/j.dib.2022.108204
- Source rock potential, thermal maturity, and depositional environment of the Ordovician Ra’an Shale Member, central Saudi Arabia, Faisal AlGhamdi*, Lamidi Babalola, Abdullah Alqubalee, Israa S. Abu-Mahfouz, Bandar Alotaibi, Mohammed Abouelresh, https://doi.org/10.1016/j.jaesx.2024.100174
- Impact of Quartz/Argillaceous Sandstone and Siliceous/Kaolinitic Claystone Contamination of Drilling Fluid and Filter Cake Properties, Badr Bageri, Mohammed Benaafi, Jaber Al Jaberi , Mashaer A. Alfaraj,and Bandar Al-Otaibi, https://doi.org/10.1155/2023/1093287
Abbas Ahmed Ayesh Al-Abdullah
Laboratory Technician, Laboratory Technical Support & Services
Educational Qualification
- Tech. Diploma , Automatic control systems , Technology college in Al Ahsa
Research Interests
- Geology
- Petrophysics
Ammar M. Al-Ramadhan
Laboratory Engineer, Laboratory Technical Support & Services
In 2011 Ammar graduated from KFUPM with B.S. in Petroleum Engineering. He has a diverse work experience from Sales to Academic and Oil field. 2016 – 2018. Drilling Fluid Engineer/ Mud Engineer with MB Petroleum Services. 2012 – 2016. Petroleum engineering Trainer/Instructor with Petroleum and Natural Gas Institute of Technology and Training. 2011 Sales engineer with Arif Al-Saeed Advanced Technology Corp. Provided analytical & educational instruments & equipment university labs.
Educational Qualification
- B.S. in Petroleum Engineering from KFUPM, 2011.
Research Interests
- Drilling Fluids