Improved convolution analysis of late wellbore storage buildup data of gas wells

Ibrahim S. Nashawi, Reyadh A. Almehaideb

Research output: Contribution to journalArticlepeer-review

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 languageEnglish
Pages (from-to)577-605
Number of pages29
JournalPetroleum Science and Technology
Volume17
Issue number5
DOIs
Publication statusPublished - 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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