Petroleum Production Optimization in Oil & Gas
Building physics based and data driven reduced order models (data driven proxy models) for dynamic simulation and value quantification of reservoir processes
- Duration
- Varies
- Next session
- 13 Apr – 17 Apr 2026
- Fee from
- $6,500
- Location
- Houston
About this course
Building physics based and data driven reduced order models (data driven proxy models) for dynamic simulation and value quantification of reservoir processes
Validation of simulation models using past records for constraining reservoir description, reservoir characterization and improving prediction accuracy
Assessment of uncertainty in the estimation of reservoir connectivity through integration of measurement and model uncertainty to generate multiple plausible geologic scenarios
Using simulation based optimization tools to optimally operate petroleum production systems and support real time decision making (what if scenario analysis)
Performing lifecycle production assessment and management of petroleum reservoirs
Field wide multi objective optimization strategies to determine optimal operating set points and meet business goals
Assessing impact of optimization strategies on system performance plan operational response
Scheduled sessions
| Dates | Location | Duration | Fee | Ref |
|---|---|---|---|---|
| 13 Apr – 17 Apr 2026 | Houston, TX | — | $6,500 | — |