IoT for Smart Operations in the Oil and Gas Industry: From Upstream to Downstream
Autor Razin Farhan Hussain, Ali Mokhtari, Ali Ghalambor, Mohsen Amini Salehien Limba Engleză Paperback – 21 sep 2022
- Follows a systematic and categorical taxonomy of the upstream, midstream, and downstream processes paired with cutting-edge technologies, which benefit computer scientists and engineers
- Understands advanced computing technologies reducing the costs of existing operations and carbon footprint
- Deeply dives into case studies that cover the entire oil and gas spectrum and explain bridges into applications
Preț: 627.24 lei
Preț vechi: 823.46 lei
-24% Nou
Puncte Express: 941
Preț estimativ în valută:
120.04€ • 124.69$ • 99.71£
120.04€ • 124.69$ • 99.71£
Carte tipărită la comandă
Livrare economică 27 ianuarie-10 februarie 25
Livrare express 27 decembrie 24 - 02 ianuarie 25 pentru 75.19 lei
Preluare comenzi: 021 569.72.76
Specificații
ISBN-13: 9780323911511
ISBN-10: 032391151X
Pagini: 266
Ilustrații: 55 illustrations (20 in full color)
Dimensiuni: 152 x 229 x 19 mm
Greutate: 0.36 kg
Editura: ELSEVIER SCIENCE
ISBN-10: 032391151X
Pagini: 266
Ilustrații: 55 illustrations (20 in full color)
Dimensiuni: 152 x 229 x 19 mm
Greutate: 0.36 kg
Editura: ELSEVIER SCIENCE
Cuprins
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
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