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Ahmadi Mohammadali (Vanier Scholar/ Killam Laureate Reservoir Simulation Research Group Chemical And Petroleum Engineering Department Schulich School Of Engineering University Of Calgary Canada)
Ahmadi Mohammadali (Vanier Scholar/ Killam Laureate Reservoir Simulation Research Group Chemical And Petroleum Engineering Department Schulich School Of Engineering University Of Calgary Canada) - Artificial Intelligence For A More Sustainable Oil
Ahmadi Mohammadali (Vanier Scholar/ Killam Laureate Reservoir Simulation Research Group Chemical And Petroleum Engineering Department Schulich School Of Engineering University Of Calgary Canada) - Artificial Intelligence For A More Sustainable Oil
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Binding: Paperback
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.
Title: Artificial Intelligence For A More Sustainable Oil And Gas Industry And The Energy Transition Case Studies And Code Examples
Author(s): Ahmadi Mohammadali (Vanier Scholar/ Killam Laureate Reservoir Simulation Research Group Chemical And Petroleum Engineering Department Schulich School Of Engineering University Of Calgary Canada)
Publisher: Elsevier - Health Sciences Division
Barcode: 9780443240102
Pages: 516 Pages
Publication Date: 8/9/2024
Category: Artificial Intelligence
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.
Title: Artificial Intelligence For A More Sustainable Oil And Gas Industry And The Energy Transition Case Studies And Code Examples
Author(s): Ahmadi Mohammadali (Vanier Scholar/ Killam Laureate Reservoir Simulation Research Group Chemical And Petroleum Engineering Department Schulich School Of Engineering University Of Calgary Canada)
Publisher: Elsevier - Health Sciences Division
Barcode: 9780443240102
Pages: 516 Pages
Publication Date: 8/9/2024
Category: Artificial Intelligence
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