Project Details
Abstract
In response to the evolving global energy landscape and the critical need for environmental stewardship, Qatar's oil and gas industry is positioned at a pivotal juncture. Traditional exploration and production methodologies are facing mounting pressures from economic, environmental, and technological challenges. In light of these challenges, we propose a groundbreaking strategy that leverages the advanced capabilities of machine learning (ML), Large Language Models (LLMs), and artificial intelligence (AI).This proposal is designed to revolutionize subsurface resource characterization, reservoir behavior simulation, and future production forecasting in Qatar. By embracing these technologies, we aim to significantly enhance asset optimization, thereby establishing a new standard for operational efficiency and environmental sustainability within Qatar's oil and gas sector.
Submitting Institute Name
Hamad Bin Khalifa University (HBKU)
| Sponsor's Award Number | ARG02-0312-240003 |
|---|---|
| Proposal ID | EX-QNRF-ARG-155 |
| Status | Active |
| Effective start/end date | 15/04/25 → 15/04/28 |
Collaborative partners
- Hamad Bin Khalifa University (lead)
- King Abdullah University of Science and Technology
Primary Theme
- Artificial Intelligence
Primary Subtheme
- AI - Analytics & Decision Support
Secondary Theme
- Sustainability
Secondary Subtheme
- SU - Sustainable Energy
Keywords
- Energy
- Data Analytics and Machine Learning
- Reservoir Management and Characterization
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