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6 - Data

Published online by Cambridge University Press:  06 January 2010

Dean S. Oliver
Affiliation:
University of Oklahoma
Albert C. Reynolds
Affiliation:
University of Tulsa
Ning Liu
Affiliation:
Chevron Energy Technology Company, California
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Summary

To get an explicit solution of a given boundary value problem is in this age of large electronic computers no longer a basic question. The problem can be coded for the machine and the numerical answer obtained. But of what value is the numerical answer if the scientist does not understand the peculiar analytical properties and idiosyncrasies of the given operator? [26]

The main purpose of this chapter is to develop an understanding of the spatial dependence of the sensitivity of measurements to reservoir variables, particularly porosity and permeability. The measurements provide information that improve the quality of predictions of reservoir performance. Different types of measurements are sensitive to model variables in different volumes of reservoir, and have much different complexity. Because the focus in this chapter is on qualitative understanding, for each type of data we present a plot of the sensitivity to values of reservoir properties at various locations, without equations. A straightforward, but inefficient, approach to estimating sensitivities would be to make a small change to the value of permeability or porosity in a region, then compute the change in the theoretical measurement. Vela and McKinley [27] used this approach to estimate sensitivity of pulse test data (a type of interference test between wells) to permeability and porosity.

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Publisher: Cambridge University Press
Print publication year: 2008

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  • Data
  • Dean S. Oliver, University of Oklahoma, Albert C. Reynolds, University of Tulsa, Ning Liu
  • Book: Inverse Theory for Petroleum Reservoir Characterization and History Matching
  • Online publication: 06 January 2010
  • Chapter DOI: https://doi.org/10.1017/CBO9780511535642.007
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  • Data
  • Dean S. Oliver, University of Oklahoma, Albert C. Reynolds, University of Tulsa, Ning Liu
  • Book: Inverse Theory for Petroleum Reservoir Characterization and History Matching
  • Online publication: 06 January 2010
  • Chapter DOI: https://doi.org/10.1017/CBO9780511535642.007
Available formats
×

Save book to Google Drive

To save content items to your account, please confirm that you agree to abide by our usage policies. If this is the first time you use this feature, you will be asked to authorise Cambridge Core to connect with your account. Find out more about saving content to Google Drive.

  • Data
  • Dean S. Oliver, University of Oklahoma, Albert C. Reynolds, University of Tulsa, Ning Liu
  • Book: Inverse Theory for Petroleum Reservoir Characterization and History Matching
  • Online publication: 06 January 2010
  • Chapter DOI: https://doi.org/10.1017/CBO9780511535642.007
Available formats
×