X

page content

URTeC SC-05 | Forecasting Well Production Data in Unconventional Resources

Society of Petroleum Engineers (SPE)

Saturday, 18 July Sunday, 19 July 2020, 8:00 a.m.–5:00 p.m.  |  Austin, Texas

short course image

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.

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:
1.6 Credits

Includes

  • Printed Course Material
  • 2-day course with lecture
  • Access to SPE's Learning Management System
  • Class exercises and discussion
  • Morning and afternoon refreshments and lunch

Fees

Non-Members:
$1800
Members:
$1400
Students:
$500

Venue

URTeC SC-05 | Forecasting Well Production Data in Unconventional Resources
Austin Convention Center
500 E Cesar Chavez St.
Austin, Texas 78701
United States

Instructor

Dilhan Ilk
Dilhan Ilk Reservoir Engineer DeGolyer and MacNaughton, USA