Amega Yasutra, Dr., S.T., M.T.

Dr. Amega Yasutra

Amega Yasutra, Dr., S.T., M.T.

Assistant Professor | Drilling Engineering, Production and Oil and Gas Management

Scopus | ResearchGate | Google Scholar | Science and Technology Index

amega.yasutra@itb.ac.id

Education

B.Sc., Petroleum Engineering, UPN “Veteran” Yogyakarta, Indonesia (1995)

M.Sc., Petroleum Engineering, Bandung Institute of Technology (ITB), Indonesia (2003)

Ph.D., Petroleum Engineering, Bandung Institute of Technology (ITB), Indonesia (2014)

Research Interests

  • Artificial Intelligence (AI) & Machine Learning in Petroleum Engineering
  • Production Optimization & Decline Curve Analysis
  • Enhanced Oil Recovery (EOR) Screening & Economics
  • Unconventional Reservoir Engineering
  • Well Integrity & Pressure Analysis
  • Production Data Analytics & Pattern Recognition
  • Reservoir Management & Field Revitalization

Courses Taught

  • TM3104 — Production Engineering
  • TM4000 — Integrated Study
  • TM4034 — Artificial Intelligence in Petroleum Engineering

Selected Publications

  • Salam, D.D., Gunardi, I., Yasutra, A.: Production Optimization Strategy Using Hybrid Genetic Algorithm, Proceedings of the Abu Dhabi International Petroleum Exhibition and Conference, SPE-177442-MS, November 2015.
  • Yasutra, A., Ariadji, T., Syihab, Z., Sukarno, P.: Integration Optimization Method for Subsurface–Surface System for Development of Oil and Gas Fields, Journal of Petroleum and Gas Technology, April 2013.
  • Yasutra, A.: Integration Optimization Method for Subsurface System with Constraint from Surface Facility, Dissertation, Bandung Institute of Technology, 2013.
  • Yasutra, A., Ariadji, T., Syihab, Z., Sukarno, P.: Integration Optimization Method for Subsurface–Surface System for Development of Oil and Gas Fields, National Consortium XII IATMI, Jakarta, 3–5 December 2012.
  • Yasutra, A.: IPR for Solution Gas Drive, IATMI, 2006.

Projects & Activities

  • Development of Teaching and Learning Materials (2025)
  • Mature Field Evaluation (2025)
  • Application of Machine Learning in Predictive Maintenance and Petrophysical Analysis (2025)
  • Optimization of Integrated CCS/CCUS Hubs (2024)
  • Oil and Gas Field Production Optimization (2024)