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Production Trends of Shale Gas Wells

To obtain better well performance and improved production from shale gas
reservoirs, it is important to understand the behavior of shale gas wells and to identify
different flow regions in them over a period of time. It is also important to understand
best fracture and stimulation practice to increase productivity of wells. These objectives
require that accurate production analysis be performed. For accurate production analysis,
it is important to analyze the production behavior of wells, and field production data
should be interpreted in such a way that it will identify well parameters. This can be
done by performing a detailed analysis on a number of wells over whole reservoirs.
This study is an approach that will lead to identifying different flow regions in
shale gas wells that include linear and bilinear flow. Important field parameters can be
calculated from those observations to help improve future performance. The detailed
plots of several wells in this study show some good numbers for linear and bilinear flow,
and some unique observations were made. The purpose of this work is to also manage
the large amount of data in such a way that they can be used with ease for future studies.
A program was developed to automate the analysis and generation of different plots. The
program can also be used to perform the simple calculations to calculate different parameters. The goal was to develop a friendly user interface that would facilitate
reservoir analysis.
Examples were shown for each flow period, i.e. linear and bilinear flow.
Different plots were generated (e.g; Bob Plot (square root of time plot) and Fourth Root
of Time Plot, that will help in measuring slopes and thus reservoir parameters such as
fracture permeability and drainage area. Different unique cases were also observed that
show a different behavior of well in one type of plot from another.

Identiferoai:union.ndltd.org:tamu.edu/oai:repository.tamu.edu:1969.1/ETD-TAMU-2008-12-94
Date14 January 2010
CreatorsKhan, Waqar A.
ContributorsWattenbarger, Robert A.
Source SetsTexas A and M University
Languageen_US
Detected LanguageEnglish
TypeBook, Thesis, Electronic Thesis
Formatapplication/pdf

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