Please use this identifier to cite or link to this item: https://hdl.handle.net/2440/120995
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Type: Journal article
Title: Produced water re-injection and disposal in low permeable reservoirs
Author: Kalantariasl, A.
Schulze, K.
Storz, J.
Burmester, C.
Kuenckeler, S.
You, Z.
Badalyan, A.
Bedrikovetsky, P.
Citation: Journal of Energy Resources Technology, 2019; 141(7):072905-1-072905-13
Publisher: American Society of Mechanical Engineers
Issue Date: 2019
ISSN: 0195-0738
1528-8994
Statement of
Responsibility: 
Azim Kalantariasl, Kai Schulze, Jöerg Storz, Christian Burmester, Soeren Küenckeler, Zhenjiang You, Alexander Badalyan, Pavel Bedrikovetsky
Abstract: Produced water re-injection (PWRI) is an important economic and environmental-friendly option to convert waste to value with waterflooding operations. However, it often causes rapid injectivity decline. In the present study, a coreflood test on a low permeable core sample is carried out to investigate the injectivity decline behavior. An analytical model for well impedance (normalized reciprocal of injectivity) growth, along with probabilistic histograms of injectivity damage parameters, is applied to well injectivity decline prediction during produced water disposal in a thick low permeable formation (Völkersen field). An impedance curve with an unusual convex form is observed in both coreflood test and well behavior modeling; the impedance growth rate is lower during external filter cake build-up if compared with the deep bed filtration stage. Low reservoir rock permeability and, consequently, high values of filtration and formation damage coefficients lead to fast impedance growth during deep bed filtration; while external filter cake formation results in relatively slow impedance growth. A risk analysis employing probabilistic histograms of injectivity damage parameters is used to well behavior prediction under high uncertainty conditions.
Keywords: Produced water disposal; PWRI; injectivity decline; coreflood test; mathematical model; risk analysis
Rights: © 2019 by ASME
DOI: 10.1115/1.4042230
Grant ID: ARC
Appears in Collections:Aurora harvest 8
Australian School of Petroleum publications

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