Digital transformation is the process of incorporating digital technologies to transform conventional and non-digital business processes and services, or to create new ones, in order to meet evolving market and customer expectations, radically altering how businesses are managed and operated, as well as how value is delivered to customers. Industry is adapting technology to alter its operational landscape and reap the benefits of enhanced productivity, efficiency, and cost savings. The oil and gas business are no stranger to this, and it is on its way to becoming digitally mature. A strategic roadmap could benefit oil and gas industries in evaluating each operation and identifying digital leaps that will help them achieve specific business goals.
- Digital Strategy in Oil & Gas
- Artificial Intelligence in Oil, Gas & Petroleum
- Big Data Analytics
Selim Sanad Shaker
Geopressure Analysis Services, United States
Saim Memon
Sanyou London Pvt Ltd, United Kingdom
Nur Hassan
Central Queensland University, Australia
Selim Sanad Shaker
Geopressure Analysis Services, United States
Nur Hassan
Central Queensland University, Australia
Matthew Godfrey
Enventure Global Technology, United States
Barbara Diaz
Automa Srl, ItalySubmit your abstract Today
Title : The Vacuum Insulated Heatable Curtain (VIHC): From conceptual invention to market deployment as a cost-effective dual solution for window heat loss reduction and localised radiant comfort
Saim Memon, Sanyou London Pvt Ltd, United Kingdom
Title : Hydrogen production from depleted or unproductive oil and gas reservoirs
Cleveland M Jones, Fronteira Energia Ltda, Brazil
Title : Predicting drilling challenges and hazards due to subsurface pressure’s drifting
Selim Sanad Shaker, Geopressure Analysis Services, United States
Title : Transforming waste plastic into hydrogen: Progress, challenges, and future directions in pyrolysis-based integrated pathways
Nur Hassan, Central Queensland University, Australia
Title : Novel expandable liner hanger platform for advanced liner drilling and reaming
Matthew Godfrey, Enventure Global Technology, United States
Title : From empirical decline to intelligent forecasting: A hybrid deep learning framework embedding arps physics for unconventional tight-gas reservoir production prediction
Emmanuel Chibueze Obasi, University of Wyoming, United States