[CCoE Notice] Master's Thesis Defense: July 28, 9:00a

[Grayson, Audrey A]

Production Forecasting using Type Wells, Diagnostic Plots and Hybrid Models
AYUSH RASTOGI
Master of Science in Petroleum Engineering
Date: Monday, July 28th, 2014
Time: 9:00 am
Location:  Room 125, Building 9
                Energy Research Park
                University of Houston
Committee Members: Dr. W. John Lee, Dr. Thomas K. Holley, Dr. Robello Samuel
Abstract:
With recent advancements in the field of unconventional shale gas production, there lies a need to estimate the gas reserves in the best possible manner. Production forecasting for unconventional wells is one of the areas which is still being explored in the industry.
In order to get the estimated ultimate recovery (EUR) of unconventional wells, industry uses the method of type wells to calculate well rate. A flaw in the method is identified during the calculation of well rates, which may result in incorrect EUR values. A new method will be proposed to solve this problem, so that a standard can be maintained to forecast the production using type wells. During the analysis of diagnostic plots to identify flow regimes, one of the issues faced is the presence of outliers. The current methods used tend to overlook this problem which not only adds extra noise to the data, but can also cause incorrect interpretation if not removed. An alternative method of removing outliers and filtering data using decline curves is suggested. One of the issues, while creating a reservoir model to forecast production, involves the type of completion design. Application of a homogeneous model in wells where heterogeneous completion is encountered, might lead to an incorrect evaluation. A hybrid reservoir model will be developed to forecast cases with transient and boundary dominated flow.



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