Non-Darcy Flow and Wellbore Storage Effects in Pressure Build-Up and Drawdown of Gas Wells

1965 ◽  
Vol 17 (02) ◽  
pp. 223-233 ◽  
Author(s):  
H.J. Ramey
Keyword(s):  
Darcy Flow ◽  
Gas Wells ◽  
Wellbore Storage ◽  
Storage Effects

Changing Wellbore Storage Effects In Gas Well Testing

1997 ◽  
Author(s):  
S. Al-Haddad ◽  
M. LeFlore ◽  
T. Lacy
Keyword(s):  
Well Testing ◽  
Gas Well ◽  
Wellbore Storage ◽  
Storage Effects

IMPROVED CONVOLUTION ANALYSIS OF LATE WELLBORE STORAGE BUILDUP DATA OF GAS WELLS

1999 ◽  
Vol 17 (5-6) ◽  
pp. 577-605
Author(s):  
Ibrahim S. Nashawi ◽  
Reyadh A. Almehaideb
Keyword(s):  
Gas Wells ◽  
Wellbore Storage

scholarly journals Explicit Deconvolution of Well Test Data Dominated by Wellbore Storage

2014 ◽  
Vol 2014 ◽  
pp. 1-12
Author(s):  
K. Razminia ◽  
A. Hashemi ◽  
A. Razminia ◽  
D. Baleanu
Keyword(s):  
Test Data ◽  
Material Balance ◽  
Early Time ◽  
Time Behavior ◽  
Well Test ◽  
Deconvolution Method ◽  
Pressure Data ◽  
Practical Applications ◽  
Wellbore Storage ◽  
Storage Effects

This paper addresses some methods for interpretation of oil and gas well test data distorted by wellbore storage effects. Using these techniques, we can deconvolve pressure and rate data from drawdown and buildup tests dominated by wellbore storage. Some of these methods have the advantage of deconvolving the pressure data without rate measurement. The two important methods that are applied in this study are an explicit deconvolution method and a modification of material balance deconvolution method. In cases with no rate measurements, we use a blind deconvolution method to restore the pressure response free of wellbore storage effects. Our techniques detect the afterflow/unloading rate function with explicit deconvolution of the observed pressure data. The presented techniques can unveil the early time behavior of a reservoir system masked by wellbore storage effects and thus provide powerful tools to improve pressure transient test interpretation. Each method has been validated using both synthetic data and field cases and each method should be considered valid for practical applications.

The Impact of Non-Darcy Flow on Production from Hydraulically Fractured Gas Wells

2001 ◽  
Author(s):  
Patrick Handren ◽  
C. Mark Pearson ◽  
John Kullman ◽  
Robert J. Coleman ◽  
Jay Foreman ◽  
...  
Keyword(s):  
Darcy Flow ◽  
Gas Wells ◽  
The Impact

Estimating Non-Darcy Flow Coefficient from Buildup Test Data With Wellbore Storage

2002 ◽  
Author(s):  
J.P. Spivey ◽  
K.G. Brown ◽  
W.K. Sawyer ◽  
J.H. Frantz
Keyword(s):  
Test Data ◽  
Flow Coefficient ◽  
Darcy Flow ◽  
Wellbore Storage

Formation-Tester Pulse Testing in Tight Formations (Shales and Heavy Oil): Where Wellbore Storage Effects Favor the Determination of Reservoir Pressure

2012 ◽  
Author(s):  
Nishaboori Abdolhamid Hadibeik ◽  
Mark A. Proett ◽  
Dingding Chen ◽  
Abbas Sami Sami Eyuboglu ◽  
Carlos Torres-Verdin ◽  
...  
Keyword(s):  
Heavy Oil ◽  
Reservoir Pressure ◽  
Wellbore Storage ◽  
Pulse Testing ◽  
Storage Effects ◽  
Tight Formations
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