Please use this identifier to cite or link to this item: http://hdl.handle.net/2440/113063
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dc.contributor.authorYerramilli, R.en
dc.contributor.authorZitha, P.en
dc.contributor.authorYerramilli, S.en
dc.contributor.authorBedrikovetsky, P.en
dc.date.issued2015en
dc.identifier.citationSPE Journal, 2015; 20(6):1200-1211en
dc.identifier.issn1086-055Xen
dc.identifier.issn1930-0220en
dc.identifier.urihttp://hdl.handle.net/2440/113063-
dc.description.abstractInjectivity decline is an issue during produced-water reinjection (PWRI) for water disposal in aquifers, waterflooding, chemical enhanced oil recovery, and geothermal-energy exploitation. A novel model for injectivity decline under flow conditions reminiscent of PWRI was developed taking into account deep-bed filtration and buildup of external filter cake. A distinct feature of the model is that it describes particle-retention kinetics responsible for internal filtration by an exponential decaying function of the retained-particle concentration. The corresponding nonlinear governing partial-differential equations were solved numerically and coupled with a known analytical model for external filtration with the concept of transition time. Coreflood experiments consisting of the injection of brine containing suspended hematite particles (volume fractions in the range of 2 to 6 ppm) were also performed. Computed-tomography (CT) scans of the core were taken to obtain deposition profiles along the core at different times. In addition, effect of various parameters (particle concentration and number of grids) on injectivity was investigated. From CT-scan and optical-microscope analyses, it was found that surface deposition in the porous medium and face plugging at the injection face of the core were responsible for decline in injectivity. The transition time from pure internal to external filtration was accurately determined from the CT-scan and pressure data. The newly proposed model and experiments were found to be in excellent agreement, indicating that the adopted retention function is a good heuristic description of particle retention.en
dc.description.statementofresponsibilityRamesh Chandra Yerramilli, P. L. J. Zitha, Sanjay Surya Yerramilli, Pavel Bedrikovetskyen
dc.language.isoenen
dc.publisherSociety of Petroleum Engineersen
dc.rights© 2015.Society of Petroleum Engineersen
dc.titleA novel water-injectivity model and experimental validation with CT-scanned corefloodsen
dc.typeJournal articleen
dc.identifier.rmid0030042186en
dc.identifier.pubid233325-
pubs.library.collectionAustralian School of Petroleum publicationsen
pubs.library.teamDS10en
pubs.verification-statusVerifieden
pubs.publication-statusPublisheden
Appears in Collections:Australian School of Petroleum publications

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