0
Petroleum Engineering

A Noniterative Blind Deconvolution Approach to Unveil Early Time Behavior of Well Testings Contaminated by Wellbore Storage Effects

[+] Author and Article Information
Arash Moaddel Haghighi

 Institute of Petroleum Engineering, University of Tehranarashmh@gmail.com

Peyman Pourafshary

 Institute of Petroleum Engineering, University of Tehranpourafshari@ut.ac.ir

J. Energy Resour. Technol 134(2), 022901 (Apr 04, 2012) (7 pages) doi:10.1115/1.4005661 History: Received September 03, 2010; Revised October 29, 2011; Published April 02, 2012; Online April 04, 2012

Deconvolution method is generally used to eliminate wellbore storage dominant period of well testing. Common Deconvolution techniques require knowledge of both pressure and rate variations within test duration. Unfortunately, accurate rate data are not always available. In this case, blind deconvolution method is used. In this work, we present a new approach to improve the ability of blind deconvolution method in well testing. We examined the behavior of rate data by comparing it with a special class of images and employed their common properties to represent gross behavior of extracted rate data. Results of examinations show ability of our developed algorithm to remove the effect of wellbore storage from pressure data. Our Algorithm can deal with different cases where wellbore storage has made two different reservoirs behave identical in pressure response. Even if there is no wellbore effect or after wellbore storage period is passed, proposed algorithm can work routinely without any problem.

FIGURES IN THIS ARTICLE
<>
Copyright © 2012 by American Society of Mechanical Engineers
Your Session has timed out. Please sign back in to continue.

References

Figures

Grahic Jump Location
Figure 9

Comparison made between our algorithm and frequency domain algorithm

Grahic Jump Location
Figure 8

Pressure derivative plot of a homogenous reservoir with a single fault. The algorithm removes the wellbore effects as much as possible but does not affect late time pressure responses.

Grahic Jump Location
Figure 7

Pressure derivative plot of a dual porosity reservoir without wellbore storage effects

Grahic Jump Location
Figure 6

Pressure derivative plot of a dual porosity reservoir with wellbore effects and output of the algorithm

Grahic Jump Location
Figure 5

Pressure derivative plot of a homogenous reservoir and output of the algorithm

Grahic Jump Location
Figure 4

Pressure response of a reservoir in presence (upper trend) and absence (lower trend) of wellbore effects. The dramatic change in slope of the line can be a clue in removing wellbore effects.

Grahic Jump Location
Figure 3

Flowchart of the steps to correct b(t) values

Grahic Jump Location
Figure 2

FFT spectrum estimate for flow rate derivative (b = 1). Vertical axis shows spectrum magnitudes in Decibels

Grahic Jump Location
Figure 1

A typical w-class image and its corresponding plot of natural log of absolute value of FFT of the image for different frequencies. (Adopted from Carasso (2001).)

Tables

Errata

Discussions

Some tools below are only available to our subscribers or users with an online account.

Related Content

Customize your page view by dragging and repositioning the boxes below.

Related Journal Articles
Related eBook Content
Topic Collections

Sorry! You do not have access to this content. For assistance or to subscribe, please contact us:

  • TELEPHONE: 1-800-843-2763 (Toll-free in the USA)
  • EMAIL: asmedigitalcollection@asme.org
Sign In