Technological advancements in the energy industry increasingly depend on the ability to understand reservoir behavior more accurately and efficiently. Through numerical modeling, reservoir simulation, and data-driven approaches, various field development scenarios can be evaluated to support better decision-making. This approach has become one of the primary areas of expertise of Billal Aslam, S.T., M.T., Ph.D., Senior Researcher OGRINDO ITB.
Expertise in Reservoir Engineering
Billal Aslam specializes in reservoir simulation, numerical modeling, data-driven reservoir analysis, and fluid flow in porous media. His research focuses on integrating physics-based approaches with machine learning to develop faster and more efficient reservoir simulation methods, including applications for Enhanced Oil Recovery (EOR) and Carbon Capture, Utilization and Storage (CCUS).
Academic Background and Professional Experience
Billal menyelesaikan pendidikan Sarjana dan Magister Teknik Perminyakan di Institut Teknologi Bandung (ITB), kemudian meraih gelar Ph.D. in Petroleum Engineering from King Abdullah University of Science and Technology (KAUST). His doctoral research focused on Hybrid Physics–Data Driven Reduced-Order Modeling for Reservoir Simulation.
His professional experience spans academia, research, and industry, including roles at KAUST, Institut Teknologi Bandung, Pertamina EP, and PT LAPI ITB. Throughout his career, he has contributed to various studies involving reservoir simulation, reservoir surveillance, Chemical EOR, reserves evaluation, and CCUS feasibility studies.
Contributions to Research and Industry Projects
In addition to his academic and industry experience, Billal has actively contributed to a wide range of research and consulting projects. His experience includes Carbon Capture, Utilization and Storage (CCUS), reservoir simulation for Chemical EOR, as well as oil and gas reserves estimation, reserves certification, and reserves auditing.
In the field of research, Billal has authored several scientific publications in the SPE Journal and has presented his work at international Society of Petroleum Engineers (SPE) conferences. His research focuses on the development of deep learning, hybrid physics–data driven modelingand their applications to simulation fractured reservoirs dan CO₂ sequestration. These contributions reflect his commitment to advancing reservoir engineering solutions that address industry needs while contributing to scientific progress.
Contributing to OGRINDO ITB
As a Senior Researcher at OGRINDO ITB, Billal contributes to strengthening the organization's research and consulting capabilities through the development of reservoir simulation, numerical modeling, and data-driven approaches to support various studies in EOR, CCUS, and reservoir analysis. With a combination of academic, research, and industry experience, he plays an important role in supporting OGRINDO ITB's commitment to delivering innovative, practical, and research-based engineering solutions for the energy industry.
Let’s Collaborate
OGRINDO ITB is committed to delivering research-based solutions that support technological advancement and innovation in the energy sector. Backed by researchers with extensive academic and industry experience, we are ready to become your trusted partner in research, technical studies, and consulting services.
Interested in learning more about OGRINDO ITB's expertise or exploring collaboration opportunities? Visit www.ogrindoitb.com or contact us at info@ogrindoitb.com.
