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Studies of waterflood performance Trapping oil in a pore doublet by Rose, Walter

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Published by State of Illinois, Dept. of Registration and Education, Division of the State Geological Survey in Urbana, Ill .
Written in English


  • Oil field flooding,
  • Petroleum

Book details:

Edition Notes

Includes bibliographical references (p. 13).

Other titlesTrapping oil in a pore doublet.
StatementWalter Rose, Paul A. Witherspoon
SeriesIllinois State Geological Survey. Circular -- 224
ContributionsWitherspoon, Paul Adams, 1919-, Illinois State Geological Survey
LC ClassificationsQE105 .A45 no.224
The Physical Object
Pagination13 p.
Number of Pages13
ID Numbers
Open LibraryOL25412104M

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Studies of Waterflood Performance III: Use of Network Models Paperback – January 1, by Walter Rose (Author) See all formats and editions Hide other formats and editions. Price New from Used from Paperback, January 1, "Please retry" — — — Paperback — Author: Walter Rose. Studies of waterflood performance. II, Trapping oil in a pore doublet. Urbana, Ill.: State of Illinois, Dept. of Registration and Education, Division of the State Geological Survey, (OCoLC) Material Type: Government publication, State or province government publication: Document Type: Book: All Authors / Contributors. STUDIESOFWATERFLOODPERFORMANCE NGOILINAPOREDOUBLET by spoon ABSTRACT Thispaperdiscussestheporedoublet,aparallelarrangement ofasmall-andlarge-diametercapillarytube,placementofoilbywaterisanalyzedforthe pore . STUDIESOFWATERFLOOD PERFORMANCE III.-UseofNetworkModels WalterRose ILLINOISGEOLOGICAL SURVEYLIBRARY DIVISIONOFTHE ILLINOISSTATEGEOLOGICALSURVEY ,Chief URBANA CIRCULAR DigitizedbytheInternetArchive inwithfundingfrom UniversityofIllinoisUrbana-Champaign.

SPE Member Price USD Waterflooding is an important method of improving recovery, but successful waterflood performance requires a sound design. Waterflooding begins with understanding the basic principles of immiscible displacement, then presents a systematic procedure for designing a waterflood. The emphasis is on fundamental concepts and their application in solving various waterflooding problems.   study waterflood reservoirs, petroleum engineers still need simple predictive tools to forecast production decline, estimate ultimate oil recovery, and diagnose the production performance . Using the reservoir data presented in Table 1, construct a set of performance curves to predict the waterflood performance up to a surface WOR of 45 (economic limit). Assume E A = E V = % and gas saturation = 0. Recall the following parameters at breakthrough calculated above: S wf = S wBT= Figure 2 f wf = f wBT = Figure 2 (dfw/dSw). This course covers well performance diagnosis and performance forecasting. Attendees will learn modern analytical tools and deal with data and their quality that enter into various studies. Topics: WOR type-curve for flood performance; Production-well behavior with reciprocal-PI plot; Injection-well performance monitoring with modified-Hall plot.

Empirical and/or semianalytical tools are frequently applied in most waterflood operations, although grid-based models are also often used. This paper examines the performance of some commonly. Case studies demonstrate the power of integrating analytical models for better understanding of evolving waterfloods. Highlights A new model for discerning non-uniform aquifer strength acting on each well. Dynamic flow-storage capacity curve concept is developed using production data. Coupled capacitance-resistance/aquifer model. Integration of modern analytical techniques. The life of a waterflood project, reflecting the rate at which oil is recovered, depends upon the number of injector wells, water injection rate and well injectivity, distance between injectors and producers, and reservoir quality. Reservoir performance under waterflood is greatly influenced by . Abstract. Three-dimensional geologic characterizations of reservoirs are used in waterflood simulation studies to predict oil and gas field recovery efficiencies, quantities of water, oil and gas production over time, and for well optimization and economic studies. Quantitative global characterizations of the static reservoir, for example, reservoir connectivity or permeability heterogeneity, can be used to help explain waterflood performance.