Computer-based solution of petroleum engineering problems- Program design, spreadsheets, scripting and numerical techniques are used for data handling, modeling and visualization- Applications are drawn from geophysics, well logging, drilling, reservoir engineering and production analysis.
Bachelor Degree in Oil and Gas Engineering (144)
Bahagan Lal et al, Machine Learning and Flow Assurance in Oil and Gas Production, Springer ED2023
| content serial | Description |
|---|
| 1 | Introduction to computer and statistical approaches |
| 2 | Description of different oil and gas industry problems |
| 3 | Screening criteria for Computer applications |
| 4 | Field examples from drilling and production for C & S applications |
| 5 | Field examples from reservoir engineering for C&S applications |
| 6 | Field examples from reservoir evaluation for C& S applications |
| 7 | 7th Week Exam |
| 8 | Importance of AIA in oil and gas industry |
| 9 | Basics of AIA |
| 10 | Basics of Big data and machine learning |
| 11 | Field examples from exploration and drilling for AIA applications |
| 12 | 12th Week Exam |
| 13 | Field examples from drilling and production for AIA applications |
| 14 | Field examples from reservoir management for AIA applications |
| 15 | Revision |
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