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SC-06 Forecasting Well Production Data in Unconventional Resources

Sunday, 16 June 2024, 8:00 a.m.–5:00 p.m. | Houston, Texas

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

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.

Who Should Attend:

This course is designed for 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.

Disciplines: Reservoir

Learning Level: Intermediate

Instructor

icon — Dilhan Ilk
DeGolyer and MacNaughton
View Bio

Fees

Early Pricing: – Thru 17 May: Member $550; Nonmember $750; Student $300
On-site Pricing: – Starting 18 May: Member $650; Nonmember $850; Student $350
Room Assignment:: TBD
Attendee Limit:: 36 People
Educational Credits:: 0.8 CEU

Venue

SC-06 Forecasting Well Production Data in Unconventional Resources

George R. Brown Convention Center

1001 Avenida De Las Americas

Houston, Texas 77010

United States

(713) 853-8000

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Important notes regarding short courses:

Short courses are limited in size and are reserved on a first come, first served basis and must be accompanied by full payment.
If you do not plan to attend URTeC, a $35 enrollment fee will be added to the short course fee upon registering. This fee can be applied to a full-conference registration should you change your mind later.
A wait list is automatically created when a short course sells out. You will be notified if you are on a wait list and space becomes available.
Before purchasing non-refundable airline tickets, confirm the short course will take place as some may be cancelled if undersubscribed.
Please register well before 6 May 2024 to help guarantee your spot. Short course cancellations will be considered at this time — no refunds will be accepted for cancellations after this date.
Registrations will continue to be processed for short courses that are not cancelled up until they are sold out or closed.