eprintid: 9453
rev_number: 2
eprint_status: archive
userid: 1
dir: disk0/00/00/94/53
datestamp: 2023-11-09 16:36:06
lastmod: 2023-11-09 16:36:06
status_changed: 2023-11-09 16:29:02
type: conference_item
metadata_visibility: show
creators_name: Negash, B.M.
creators_name: Tufa, L.D.
creators_name: Ramasamy, M.
title: System identification based proxy modeling of a reservoir under iWAG
ispublished: pub
keywords: Information analysis; Petroleum reservoirs; Process engineering; Religious buildings, Algorithm's performance; Blind validations; Computational costs; Experimental realizations; Experimental simulations; Geological properties; Water production rate; Water-alternating gas injections, Water injection
note: cited By 1; Conference of 5th International Conference on Process Engineering and Advanced Materials, ICPEAM 2018 ; Conference Date: 13 August 2018 Through 14 August 2018; Conference Code:143521
abstract: The high computational cost associated with first principle based numerical reservoir models create a barrier for realizing their full potential. Currently, high fidelity proxy models, capable of mimicking the numerical reservoir models, are used to undertake some of the tasks. Nonetheless, large number of experimental simulations are required to generate modeling data. Moreover, experimental realizations are obtained by sampling static geological properties, hence, the resulting proxy model does not honor the dynamic nature of reservoirs, especially during immiscible water alternating gas injection (iWAG) process. In this study, a system identification based proxy modeling algorithm is developed for a reservoir under iWAG. A case study is used to evaluate the algorithm's performance in reproducing oil, gas and water production rates. By systematically designing the input pattern, only a single experimental run is used to generate modeling data. A blind validation and a cross plot analysis resulted in an average percentage fit of 89 and a tolerance level of up to 10, respectively. The algorithm can have potential application for optimization of injection scenario and hence for automatic well control during iWAG. © Published under licence by IOP Publishing Ltd.
date: 2018
publisher: Institute of Physics Publishing
official_url: https://www.scopus.com/inward/record.uri?eid=2-s2.0-85059395853&doi=10.1088%2f1757-899X%2f458%2f1%2f012055&partnerID=40&md5=f2a601e5ac72e9f8b95ab22cc098c2ea
id_number: 10.1088/1757-899X/458/1/012055
full_text_status: none
publication: IOP Conference Series: Materials Science and Engineering
volume: 458
number: 1
refereed: TRUE
issn: 17578981
citation:   Negash, B.M. and Tufa, L.D. and Ramasamy, M.  (2018) System identification based proxy modeling of a reservoir under iWAG.  In: UNSPECIFIED.