The Research Center for Advanced Decision Technologies (R-CADT) presents the specialized graduate-level course on Supply Chain Optimization and Artificial Intelligence for the Oil & Gas Industry. This course focuses on leveraging advanced AI methodologies and optimization techniques to address the complexities of the entire supply chain in the O&G sector, from exploration to distribution. It integrates parallel mathematical thinking and large-scale optimization to ensure efficient and practical solutions for real-time, multi-problem environments.
Key Concepts Covered Include:
- Supply Chain Processes in Oil & Gas:
- Oil Exploration & Exploitation
- Multimodal Transportation of Petroleum and Petroleum Products
- Oil Pipeline Transportation
- Oil Blending and Refining of Biomass
- Distribution of Refined Products
- Blending of Derivative Products
- Natural Gas Supply Chain Management
- Methodologies in Artificial Intelligence:Predictive Artificial Intelligence (Forecasting):
- Advanced Probabilistic Models
- Neural Networks
- Support Vector Machines
- Hybrid Methods (e.g., Kalman Filter)
Prescriptive Artificial Intelligence (Optimization):
- Economics and Supply Chain Optimization
- Process Optimization
- Enterprise-Wide Optimization (EWOS)
- Mathematical Programming with Equilibrium Constraints
- Parallel and Real-Time Distributed Optimization
HAI’s Knowledge Factory Model in Artificial Intelligence and Mathematical Modeling drives innovation in the O&G supply chain by focusing on:
- Artificial Business Management: Autonomous AI systems that guarantee objective, data-driven decisions across the supply chain.
- Artificial Brains: Integrating neuroscience-inspired decision-making processes into organizational strategies.
- Enterprise-Wide Optimization Systems (EWOS): Customized AI solutions that integrate complex, multi-problem model systems for optimal decision-making.
- High Complexity Mathematical Models: Advanced, traditional mathematical models that are core components of the Artificial Brains system, enabling real-time, scalable decision-making.
This course equips professionals with the critical skills needed to navigate and optimize O&G supply chains in a rapidly evolving technological landscape. The emphasis on parallel mathematical thinking and AI-driven solutions ensures that participants are prepared to lead in industries where real-time, distributed systems are the new standard.
