eprintid: 13035
rev_number: 2
eprint_status: archive
userid: 1
dir: disk0/00/01/30/35
datestamp: 2023-11-10 03:27:36
lastmod: 2023-11-10 03:27:36
status_changed: 2023-11-10 01:50:11
type: conference_item
metadata_visibility: show
creators_name: Geravand, R.
creators_name: Foroozesh, J.
creators_name: Nakhaee, A.
creators_name: Abbasi, M.
title: Integrated reservoir study using well-test deconvolution analysis and well-logging data in a gas condensate carbonate reservoir
ispublished: pub
note: cited By 0; Conference of 5th UTP-UMP-UAF Symposium on Energy Systems 2019, SES 2019 ; Conference Date: 1 October 2019 Through 2 October 2019; Conference Code:161025
abstract: This paper presents an integrated approach to characterize a gas-condensate carbonate reservoir using the combination of well-test deconvolution analysis, and well logging interpretation. Each set of data from the subject well, namely, petrophysical logs, production logs, surface well tests and drill-stem tests was analysed. Well test analyses was implemented using both pressure-derivative and variable-rate deconvolution techniques. An integrated analysis and interpretation of the results from different sources was performed. This approach was especially beneficial in reducing some uncertainties such as the layered nature of the reservoir, the heterogeneous behaviour, and boundary-dominated flow regimes. The application of deconvolved derivative increased the radius of investigation and duration of original constant-rate pressure from 24 hours to 140 hours, enabling us to detect the possible fault effect at late-times. This method was also used for performance evaluation of an acid treatment job in the wellbore. It was found that after acidizing, the total skin factor was severely reduced from 33 to 1.2, indicating a successful performance of the acidizing job. © 2020 Published under licence by IOP Publishing Ltd.
date: 2020
publisher: Institute of Physics Publishing
official_url: https://www.scopus.com/inward/record.uri?eid=2-s2.0-85087085684&doi=10.1088%2f1757-899X%2f863%2f1%2f012009&partnerID=40&md5=117564e499a05d9d13a6a444a11d19b4
id_number: 10.1088/1757-899X/863/1/012009
full_text_status: none
publication: IOP Conference Series: Materials Science and Engineering
volume: 863
number: 1
refereed: TRUE
issn: 17578981
citation:   Geravand, R. and Foroozesh, J. and Nakhaee, A. and Abbasi, M.  (2020) Integrated reservoir study using well-test deconvolution analysis and well-logging data in a gas condensate carbonate reservoir.  In: UNSPECIFIED.