Petrel Production Data Interpretation and Forecasting
This course introduces Petrel Production Interpretation (PI) as a quick engineering tool to evaluate production performance, interpret production data, identify productivity problems, and optimize completion/stimulation/production operations that are relevant to production and reservoir engineers to develop successful drilling plans, make completion choices, determine workover plans, and formulate development strategies.
During the first part of the course, analytical simulation techniques are introduced to evaluate the productivity of a single well using a range of “what if” scenarios such as: multiple well types, fracture designs for a horizontal well with multiple transverse fractures completions, and placement design of the wells for a tight gas reservoir.
Then, the course presents the basics of rate transient analysis (RTA), typical reservoir calibration RTA workflow, production data interpretation and evaluation enabling engineers to determine key well and reservoir parameters. RTA and non-linear regression techniques are used to achieve a history-matched analytical model.
The last day of the course, the attendee performs production forecasting for conventional and unconventional wells using both techniques, analytical simulation and decline curve analysis. In addition, this course covers workflows in production data analysis like identification of productivity problems using bubble mapping, data normalization and asset characterization using type wells.
- Fundamentals of Rate Transient Analysis (RTA)
- Production diagnostics with pressure transient plot and rate transient plot
- Production data preparation and processing with Petrel PI
- Single well and multiwell production forecasting
- Rate transient analysis (RTA) production interpretation with the aid of non-linear regression for conventional wells and unconventional shale wells
- Production decline analysis with standard empirical methods
- Production forecasting with analytical simulation
- Production data analysis workflows : bubble maps, data normalization, type wells
Reservoir engineer, production engineer, completions engineer and stimulation engineer with interested in learning well performance analysis and production optimization using Petrel.
Petrel fundamentals course or similar Petrel experience
Basic knowledge in Microsoft Windows and practical computing skills
Basic knowledge in reservoir and production engineering fundamentals