Well Test Interpretation Using Laplace Space Type Curves
Abstract/Contents
- Abstract
- This study presents the mathematical background which justifies the use of Laplace space in well test analysis. It enables us to perform the whole parameter identification (CD, Skin. kh...) in Laplace space, or at least gives us a powerful tool to treat the pressure data in order to recognize the model to use for the parameter identification in real space. It shows a manner in which the Laplace transform can be plotted, showing exactly the same behaviour as the real pressure function so the plots keep their familiar shape. The coefficients of the dimensionless parameters remain the same, too. This enables us to display a new set of characteristic and easily understandable type curves in Laplace space.The mathematical background also sheds light on the use of the Laplace transform to achieve flowrate deconvolution, using modifications of earlier techniques which had been found to be extremely sensitive to noise in the data.The treatments displayed are numerically stable, and it is explained why numerical instability can occur in flowrate deconvolution. The effectiveness of the treatments is explained whenever possible, and the effect of the late-time extrapolation is discussed as well.The Laplace space approach provides an entirely new way of examining and understanding well test results. It has been successfully applied to noisy, simulated data where a conventional interpretation could not illuminate ambiguities.
Description
| Type of resource | text |
|---|---|
| Date created | April 1992 |
Creators/Contributors
| Author | Bourgeois, Marcel |
|---|---|
| Primary advisor | Horne, Roland N. |
| Degree granting institution | Stanford University, Department of Petroleum Engineering |
Subjects
| Subject | School of Earth Energy & Environmental Sciences |
|---|---|
| Genre | Thesis |
Bibliographic information
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- User agrees that, where applicable, content will not be used to identify or to otherwise infringe the privacy or confidentiality rights of individuals. Content distributed via the Stanford Digital Repository may be subject to additional license and use restrictions applied by the depositor.
Preferred citation
- Preferred Citation
- Bourgeois, Marcel. (1992). Well Test Interpretation Using Laplace Space Type Curves. Stanford Digital Repository. Available at: https://purl.stanford.edu/sx402ph6635
Collection
Master's Theses, Doerr School of Sustainability
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