Estimating Reserves in Unconventional Resources
Instructor John Lee

Technical Disciplines: MI, RDD

Description

This webinar will cover major strengths and limitations of traditional and newer methods useful for forecasting production and estimating reserves in unconventional resources, particularly shales. Methods considered will include

·         Arps’ decline model

·         Arps’ model with terminal minimum decline rate

·         Stretched exponential decline model

·         Long duration linear flow

·         Duong’s decline model

·         Analytical reservoir models

Applications will concentrate on gas shales, but will include a review of application of these models to oil shales, to the extent information is available. 

Who Should Attend 

This webinar is for engineers, geophysicists, and managers who have an interest in reserves estimates in unconventional resources, and in the uncertainty in estimating those reserves.

Why You Should Attend

Learn the strengths and weaknesses of various models for developing production forecasts and reserves estimates with a focus on oil and gas shales. 

CEUs 

0.15 CEUs (Continuing Education Units) will be awarded for this webinar course.

Instructor 

John Lee holds the Hugh Roy and Lillie Cranz Cullen Distinguished University Chair at the University of Houston’s petroleum engineering program. Prior to this, Lee held the L.F. Peterson Chair in petroleum engineering at Texas A&M University. He was the former executive vice president of S.A. Holditch & Associates, where he specialized in reservoir engineering for unconventional gas reservoirs. He served as an academic engineering fellow with the US Securities & Exchange Commission (SEC) in Washington during 2007–2008, and was a principal architect of the new SEC rules for reporting oil and gas reserves. 

Prior to beginning his career in academia, Lee managed Exxon’s Major Fields Study Group. He has written many technical papers and three SPE textbooks: Well Testing, Gas Reservoir Engineering, and Pressure Transient Testing. Lee is a Distinguished Member of SPE, a member of the US National Academy of Engineering, and the Russian Academy of Natural Sciences. He received his BS, MS, and PhD degrees in chemical engineering from the Georgia Institute of Technology.