Applications of artificial intelligence techniques in the petroleum industry
Material type:
TextLanguage: English Publication details: UK: Gulf Professional Publishing, 2021. Description: x, 312p.; 23cmsISBN: 9780128186800Subject(s): Petroleum industry and trade -- Data processing | Artificial intelligence -- Industrial applications | Drilling, reservoir and productionDDC classification: 338.2728028563 H46
| Item type | Current library | Call number | Status | Date due | Barcode |
|---|---|---|---|---|---|
Books
|
Dr. S. R. Ranganathan Library General Stacks | 338.2728028563 S27 (Browse shelf(Opens below)) | Available | 2750 |
Browsing Dr. S. R. Ranganathan Library shelves, Shelving location: General Stacks Close shelf browser (Hides shelf browser)
|
|
|
|
|
|
|
||
| 338.27 Y47:1 The prize: the epic quest for oil, money & power | 338.27 Y47:2 The prize: the epic quest for oil, money & power | 338.2728 W57 Introduction to oil and gas operational safety: revision guide for the NEBOSH international technical certificate in oil and gas operational safety | 338.2728028563 S27 Applications of artificial intelligence techniques in the petroleum industry | 338.2728209536 E65 The oil era: emerging challenges | 338.276 S56, 4 Mineral economics | 338.276 S56, 4:1 Mineral economics |
Applications of Artificial Intelligence Techniques in the Petroleum Industry gives engineers a critical resource to help them understand the machine learning that will solve specific engineering challenges. The reference begins with fundamentals, covering preprocessing of data, types of intelligent models, and training and optimization algorithms. The book moves on to methodically address artificial intelligence technology and applications by the upstream sector, covering exploration, drilling, reservoir and production engineering. Final sections cover current gaps and future challenges.
Key Features
Teaches how to apply machine learning algorithms that work best in exploration, drilling, reservoir or production engineering
Helps readers increase their existing knowledge on intelligent data modeling, machine learning and artificial intelligence, with foundational chapters covering the preprocessing of data and training on algorithms
Provides tactics on how to cover complex projects such as shale gas, tight oils, and other types of unconventional reservoirs with more advanced model input