SC-03 Forecasting Well Production Data in Unconventional Resources (SPE)
Sunday, 8 June 2025, 8:00 a.m.–5:00 p.m. | Houston, Texas
Who Should Attend
Technologists, engineers, and managers involved in evaluating well performance (time-rate-pressure) data for optimizing production, understanding completion efficiency, and estimating reserves and ultimate recoveries.
Course Content
This course provides a comprehensive methodology for 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.
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.
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.
Discipline: Reservoir
Learning Level: Intermediate
Instructors
Neha Bansal
Dr. Neha Bansal joined DeGolyer and MacNaughton in 2020 with a strong background in reservoir characterization studies. She has extensive experience in the development and evaluation of both unconventional and conventional reservoirs. Prior to joining D&M, she worked at Anadarko Petroleum Corporation and Reliance Industries Ltd. Neha earned a bachelor’s degree in petroleum engineering from the University of Petroleum & Energy Studies, India in 2008. She received a master’s degree in petroleum engineering from Texas A&M University in 2013. Neha is a member of the Society of Petroleum Engineers (SPE) and serves in various leadership roles at technical conferences and workshop committees. She is a technical reviewer for the Journal of Petroleum Science & Engineering. She was named a Vice President of D&M in 2022.
Eric W. Bryan
Eric W. Bryan joined DeGolyer and MacNaughton in 2020 as an engineer in the North America Division. Prior to joining D&M, Eric worked as a production engineer at Marathon Oil. Eric earned his bachelor’s degree in petroleum engineering from Colorado School of Mines in 2017. In May 2020, he earned his master’s degree in petroleum engineering from Texas A&M University. His research primarily focused on production forecasting in unconventional reservoirs. Eric is a member of the Society of Petroleum Engineers.
Fees
Registration Fees: TBD
Attendee Limit: 40
Educational Credits: .8 CEUs/ 8 PDH's will be awarded for attending this 1-day course
Venue
George R. Brown Convention Center
1001 Avenida De Las Americas
Houston,
Texas
77010
United States