IoT for Smart Operations in the Oil and Gas Industry: From Upstream to Downstream

ISBN-13: 9780323911511 / Angielski / Miękka / 2022

Razin Farhan Hussain; Ali Mokhtari; Ali Ghalambor

Spis treści

1. Introduction to Smart O&G Industry
2. Smart Upstream Sector
3. Smart Midstream of O&G Industry
4. Smart Downstream Sector of O&G Industry
5. Threats and Side-Effects of Smart Solutions in Oil and Gas Industry
6. Designing a Disaster Management System for Smart Oil Fields
7. Case Study I: Analysis of Oil Spill Detection Using Deep Neural Networks
8. Case Study II: Evaluating DNN Applications in Smart O&G Industry

O autorze

Razin Farhan Hussain is currently a researcher at the High-Performance Cloud Computing (HPCC) laboratory at the University of Louisiana at Lafayette. His research interest includes efficient utilization of fog computing for Industry 4.0 applications and Deep Neural Network models. Ali Mokhtari is currently a researcher at the High-Performance Cloud Computing (HPCC) laboratory at the University of Louisiana at Lafayette. His research interest is in deploying Artificial Intelligence (AI) methods in Edge-Cloud systems. Ali Ghalambor, P.E. is currently an international consultant with more than 45 years of industrial and academic experience. He served as the API Endowed Professor, Head of the Petroleum Engineering Department, and Director of the Energy Institute at the University of Louisiana at Lafayette. Mohsen Amini Salehi is currently Associate Professor at the School of Computing and Informatics, University of Louisiana at Lafayette. He is the director of High-Performance Cloud Computing (HPCC) laboratory where researchers explore the applications of Cloud and Edge computing in Industry 4.0 use cases.