Modern Production Data Analysis for Unconventional Reservoirs
This course provides attendees with a comprehensive Rate Transient Analysis (RTA)- based methodology for analyzing well performance data, with specific focus on unconventional oil and gas. The course combines the use of several powerful techniques and promotes a practical, objectives-based approach to production data analysis.
- RTA / PTA fundamentals, including flow regimes, type curves, specialized analysis and derivative analysis
- The flowing material balance and material balance time
- RTA for gas reservoirs and multi-phase oil reservoirs
- Considerations for Unconventional Reservoirs, including bounded linear flow, stimulated reservoir volume and Asqrt(k)
- Practical methodology for unconventional RTA
- History matching and forecasting
- Practical examples from popular North American plays including Marcellus, Montney, Bakken and Eagle Ford (time-permitting). The IHSMarkit Harmony software program will be used to demonstrate the field examples
Upon completion of this course, participants should have an understanding of:
- Basic reservoir engineering principles that underpin rate transient analysis
- How to assess and quantify the important well performance characteristics of unconventional oil and gas reservoirs
- How to apply diagnostic and analytical plotting tools to solve practical well performance problems such as reservoir and completion characterization and production forecasting
Well performance data is the only widely available and continuous “window” we have into the reservoir. Understanding what that data is telling us is critical for making good decisions regarding field development strategy. The Rate Transient Analysis approach allows us to critically evaluate this data efficiently, within an objectives-based framework, thereby leaving no stone unturned and ensuring maximum probability of success. This course will provide RTA novices with the basic tools required to extract critical insight from production data.
This course is intended for any petroleum engineers, geoscientists and technologists possessing a reasonably solid foundation in reservoir fundamentals, who wish to get more mileage out of their production data. This is an introductory-level RTA course. This instructor also offers advanced-level RTA courses.
0.8 CEUs (Continuing Education Units) awarded for this 1-day course.
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.
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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.
David Anderson David Anderson is the co-founder and CEO of SAGA Wisdom, a technology company specializing in practical on-the-job training for the oil and gas industry. David is a recognized authority in the discipline of Rate Transient Analysis and is one of the original architects of Fekete's RTA software (now IHSMarkit Harmony), which is now an industry standard for production data analysis. David was previously the Director of Anderson Thompson Reservoir Strategies (an NCS Multistage business) where he oversaw a multi-disciplinary reservoir advisory team supporting NCS’s completion business. Prior to that, David was a managing partner at Fekete Associates, where he helped build a multi-million-dollar petroleum engineering software business. He has 23+ years of petroleum engineering experience and has taught training courses around the world, leading to his appointment as distinguished lecturer for the Society of Petroleum Engineers in 2014. David has co-authored 40+ technical publications and has served in multiple program and technical committee positions with the SPE.
06 Nov 2020
Virtual [CDT; UTC -5]
Held in conjunction with SPE Virtual Annual Technical Conference and Exhibition