Artificial Intelligence for a More Sustainable Oil and Gas Industry and the Energy Transition

Case Studies and Code Examples

de

Éditeur :

Elsevier


Paru le : 2024-07-13



eBook Téléchargement , DRM LCP 🛈 DRM Adobe 🛈 ebook sans DRM
Lecture en ligne (streaming)
182,50

Téléchargement immédiat
Dès validation de votre commande
Ajouter à ma liste d'envies
Image Louise Reader présentation

Louise Reader

Lisez ce titre sur l'application Louise Reader.

Description

Artificial Intelligence for a More Sustainable Oil and Gas Industry and the Energy Transition: Case Studies and Code Examples presents a package for academic researchers and industries working on water resources and carbon capture and storage. This book contains fundamental knowledge on artificial intelligence related to oil and gas sustainability and the industry’s pivot to support the energy transition and provides practical applications through case studies and coding flowcharts, addressing gaps and questions raised by academic and industrial partners, including energy engineers, geologists, and environmental scientists. This timely publication provides fundamental and extensive information on advanced AI applications geared to support sustainability and the energy transition for the oil and gas industry.Reviews the use and applications of AI in energy transition of the oil and gas sectorsProvides fundamental knowledge and academic background of artificial intelligence, including practical applications with real-world examples and coding flowchartsShowcases the successful implementation of AI in the industry (including geothermal energy)

Elsevier Science & Technology
Pages
450 pages
Collection
n.c
Parution
2024-07-13
Marque
Elsevier
EAN papier
9780443240102
EAN PDF
9780443240119

Informations sur l'ebook
Nombre pages copiables
45
Nombre pages imprimables
45
Taille du fichier
15401 Ko
Prix
182,50 €
EAN EPUB SANS DRM
9780443240119

Prix
182,50 €

Dr. Mohammadali Ahmadi holds a BSc with distinction (Petroleum University of Technology), an MSc (Petroleum University of Technology) in Petroleum Engineering, and an MEng (Memorial University of Newfoundland) in Process Engineering, as well as a Ph.D. in Chemical and Petroleum Engineering from the University of Calgary. He published more than 160 papers in highly-ranked ISI journals and served as an invited speaker and session chair for various conferences worldwide. According to a database published in Elsevier publishing group in collaboration with Stanford University, he was named as a top 2% of the most cited scientists from 2018 to 2022. He was the recipient of multiple prestigious awards and scholarships, such as the Vanier scholarship, Izaak Walton Killam Doctoral Scholarship, the Alberta Innovates Graduate Student Scholarship, and the J. B. Hyne Research Innovation Award. As an Associate Editor, Editorial Board Member, and Advisory Board Member, he has served several international chemical engineering and energy-related journals. His research interests include molecular dynamics (MD) simulation, mathematical modeling, enhanced oil recovery (EOR), thermodynamics, and artificial intelligence and machine learning application in the oil and gas industry.

Suggestions personnalisées