Abstract
An extension of the convolutional method is presented to analyze late wellbore storage buildup data of high-flow-rate gas wells. The improved convolution technique permits a direct estimation of the formation permeability, the mechanical and the rate-dependent skin factors, and the extrapolated reservoir pressure from three different analysis plots. Two simulated cases and a field example are presented to demonstrate the effectiveness of the improved method in analyzing high-flow-rate gas wells.
| Original language | English |
|---|---|
| Pages (from-to) | 577-605 |
| Number of pages | 29 |
| Journal | Petroleum Science and Technology |
| Volume | 17 |
| Issue number | 5 |
| DOIs | |
| Publication status | Published - 1999 |
ASJC Scopus subject areas
- General Chemistry
- General Chemical Engineering
- Fuel Technology
- Energy Engineering and Power Technology
- Geotechnical Engineering and Engineering Geology
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