Forecasting Well Production Data in Unconventional Resources

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Disciplines: Reservoir

Course Description

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

Learning Level

Intermediate

Course Length

2 Days

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.

Who Attends

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.

Special Requirements

Laptops are required for this course. Participants should have a basic understanding of petroleum engineering terms. 

CEUs

1.6 CEUs (Continuing Education Units) are awarded for this 2-day course.

Cancellation Policy

All cancellations must be received no later than 14 days prior to the course start date. Cancellations made after the 14-day window will not be refunded. Refunds will not be given due to no show situations.

Training sessions attached to SPE conferences and workshops follow the cancellation policies stated on the event information page. Please check that page for specific cancellation information.

SPE reserves the right to cancel or re-schedule courses at will. Notification of changes will be made as quickly as possible; please keep this in mind when arranging travel, as SPE is not responsible for any fees charged for cancelling or changing travel arrangements.

We reserve the right to substitute course instructors as necessary.

Instructor