URTeC SC-05 | Forecasting Well Production Data in Unconventional Resources
Society of Petroleum Engineers (SPE)
Friday, 24 July 2020, 8:00 a.m.–5:00 p.m. | Austin, Texas
Who Should Attend
Technologists, engineers, and managers involved in evaluating well performance (time-ratepressure) data for optimizing production, understanding completion efficiency, and estimating reserves and ultimate recoveries.
Objectives
Production analysis and forecasting in unconventional resources are challenging tasks due to the high degree of uncertainty and non-uniqueness associated with evaluating well completion and understanding reservoir properties.
This course provides guidelines on the interpretation of data behavior and a consistent approach to analyze and forecast production in unconventional resources.
Course Content
This course provides a comprehensive methodology for the diagnosis, analysis, and forecasting of well production data in unconventional resources. An extensive evaluation of the diagnostic tools for assessing data viability, checking data correlation along with flow regime identification is presented. The principal focus is to diagnose the characteristic flow regimes associated with well production and apply methodologies to estimate performance parameters and forecast production. These methodologies include simple analytical tools, decline curves, and more complex techniques such as nonlinear numerical simulation. Examples from tight gas sands, gas shales, and liquids-rich shale systems will illustrate the theoretical considerations and practical aspects.
Why Attend:
Production analysis and forecasting in unconventional resources are challenging tasks due to the high degree of uncertainty and non-uniqueness associated with evaluating well completion and understanding reservoir properties. This course provides guidelines on the interpretation of data behavior and a consistent approach to analyze and forecast production in unconventional resources.
Topics:
- Collect, analyze, and interpret critical data for well performance analysis
- Identify well performance characteristics and flow regimes using diagnostic plots
- Estimate key reservoir and completion parameters
- Forecast future performance for various production/completion and field development scenarios
- Establish the optimal workflow to help quantify well performance uncertainty and non-uniqueness
Details
- Limit:
- 40 People
- CEU:
- 0.8 Credits
Fees
- Non-Members:
- $400
- Members:
- $300
- Students:
- $150
Includes
- Access to virtual Classroom via Microsoft Teams
- Access to SPE's Learning Management System
- Class exercises and discussion"
Technical Requirements
- Personal Computer
- High-Speed Internet Connection
- Search Engine (Google preferred)
Venue
Austin Convention Center
500 E Cesar Chavez St.
Austin,
Texas
78701
United States