A5086081822- Jewish and Middle Eastern Studies
- Reservoir Engineering and Simulation Methods
- Middle East Politics and Society
- Middle East and Rwanda Conflicts
- Hydraulic Fracturing and Reservoir Analysis
- Oil and Gas Production Techniques
- Seismic Imaging and Inversion Techniques
- Hydrocarbon exploration and reservoir analysis
- Global Peace and Security Dynamics
- Terrorism, Counterterrorism, and Political Violence
- Anomaly Detection Techniques and Applications
- Machine Learning and Data Classification
- Seismic Waves and Analysis
- European Monetary and Fiscal Policies
- Islamic Studies and History
- Open Source Software Innovations
- International Relations and Foreign Policy
- Socioeconomic Development in MENA
- State Capitalism and Financial Governance
- Political and Social Issues
- Peacebuilding and International Security
- Global Economic and Social Development
- World Systems and Global Transformations
- Machine Learning in Healthcare
- Global Financial Crisis and Policies
Shell (Netherlands)
2020-2023
Shell (United States)
2020
BP (United Kingdom)
2016
University of Colorado Denver
2008-2009
University of Windsor
1992-2003
Al-Ahram Center for Political and Strategic Studies
1990
Faculty of 1000 (United States)
1978
Migration techniques are an integral part of seismic imaging workflows. Least-squares reverse time migration (LSRTM) overcomes some the shortcomings conventional algorithms by compensating for illumination and removing sampling artifacts to increase spatial resolution. However, computational cost associated with iterative LSRTM is high convergence can be slow in complex media. We implement prestack a deep-learning framework adopt strategies from data science domain accelerate convergence....
Abstract Hydrocarbon resource identification process involves significant endeavors and persistent efforts to identify sweet spots economical discoveries. To help streamline the better support subsurface teams, a suite of machine learning models have been piloted for integration into workflow. This paper introduces sub-process classification automatic prediction reservoir rock facies types based on acquired sample well logs. We present results from synthesized dataset formation with series...
Abstract In this paper, we developed an innovative machine learning (ML) method to determine salt structures directly from gravity data. Based on a U-net deep neural network, the maps downward continuation volume body mask volume, which is easily interpretable for exploration geophyisicist. We also studied feasibility apply different field conclude that ML based data complements seismic processing and interpretation subsurface exploration. For region where no or limited are available,...
Abstract Machine Learning (ML) has proved successful in various applications and delivered tremendous value across numerous domains. ML turns data into knowledge intelligence, that can be used to make the right business decisions. The application of energy industry is increasing rapidly. This includes but not limited manufacturing, refining, distribution, other related Due unique diverse domain requirements, AI solutions must extensively customized. These specific requirements usually lead...
Abstract Effective well management and a productive wellwork program are valuable integral business objectives. Wellwork involves various interventions optimisation activities for enhancing extending hydrocarbon production. These remedial processes involve substantial CAPEX OPEX, as other resource allocations. Failure to prioritize objectives improper selection of candidate wells can have significant implications on both derived value potential risk. A primary challenge is ensure that...
Abstract To store CO2 in depleted oil and gas fields or saline aquifers, a detailed site assessment is typically done manually, which time-consuming costly, as there are large number of older wells with poor quality records. The study presented here will leverage cloud computing artificial intelligence (AI) tools like Optical Character Recognition (OCR) Natural Language Processing (NLP) to automate the legacy well for efficient decision-making storage selection, thus reducing human effort....