Supply Chain in Upstream Oil & Gas: Purchasing & Procurement
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A focused program on building resilient, compliant, and cost-effective supply chains for exploration and production. The course translates category strategies, contracting frameworks, and market intelligence into disciplined purchasing, assured delivery, and measurable value.
Workshop Objectives
• Develop category plans and sourcing strategies aligned to drilling, projects, and operations.
• Execute competitive bidding, contract models, and negotiations with clear risk and performance terms.
• Strengthen vendor qualification, quality assurance, expediting, and logistics for on-time, in-full delivery.
• Use KPIs, cost analytics, and governance to track savings, compliance, and supplier performance.
About the Presenter
Delivered by a senior supply chain practitioner with experience across upstream categories, contracting, and field logistics. Instruction emphasizes proven frameworks, auditable controls, and practical tools suitable for high-consequence, schedule-driven environments.
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Modern Reservoir Characterization : Integrating Artificial Intelligence (AI) with Traditional Methods
During this workshop, participants will develop a more comprehensive grasp of the geophysical theory of seismic inversion and explore advanced seismic reservoir characterization techniques. Discover the essential steps in the seismic reservoir characterization workflow using machine learning, covering data processing to inversion analysis. Acquire valuable knowledge applicable to your everyday projects.In classical reservoir characterization, it is commonly assumed that the reservoir exhibits both elastic and hydraulic isotropy. However, real reservoirs often exhibit anisotropic characteristics and spatial heterogeneity on multiple scales. Relying solely on core and log data may not accurately represent the larger reservoir volume. Therefore, the most effective way to accurately analyze the physical properties of most actual reservoirs, across their entire volume, involves utilizing advanced machine learning methods for acquired and interpreted seismic data.