Denis Prokofiev

Denis Prokofiev is an oil and gas industry veteran that has deep experience in oilfield development, JV governance, technology and digital transformation leadership. Trained as a nuclear physicist at St. Petersburg State and Purdue Universities, Denis has also received an Executive MBA from University of Chicago Booth School of Business with high honors. Denis has spent 10 years at Shell E&P Company working on projects in USA, Brazil, Russia and Kazakhstan. After that, Denis became principal at Quantum Reservoir Impact, a boutique international technical and strategy consulting firm. In 2016, Denis has joined Gazprom Neft Upstream division as a head for new technology. In this capacity, Denis has set up an organization, processes, and was responsible for budget and portfolio management. In 2019, Denis was appointed a CDO of GPN Upstream business. Denis joined C3 AI, a leading Enterprise AI company, in April 2022. As CTO for Industrial Asset Management vertical, Denis brings together product development with customer success and value creation across Oil and Gas, Midstream transportation, Refining, Chemicals, Fertilizer, and Metals and Mining industries.

Session Overview

Monday, 4 November

16:00

Energy ai Conference Energy AI Theatre 16:00 - 16:30

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Innovation showcase: AI: accelerating transformation in oil & gas

This presentation will explore how AI is revolutionising oil and gas operations through diverse use cases built on a technology agnostic stack, with end-to-end data integration, and robust enterprise access controls. We'll touch on predictive maintenance and process optimisation, enabling companies to foresee equipment failures, minimise downtime, and achieve higher throughput. We’ll touch on AI-driven supply chain optimisation and demand forecasting to enable better resource allocation, cost savings, and capture market imbalance opportunities.

The integration of Generative AI in every product promises to bridge the knowledge gap between the tech-savvy new generation and the retiring generation's wealth of experience. However, it necessitates stringent accuracy and hallucination elimination measures to ensure reliability in critical operations or life-impacting circumstances. This presentation will focus on how the industry should think about the diversity of these use cases and how to build an AI roadmap that ensures substantial value delivery along each step of the roadmap.