FRINK Linked Data Fragments server

Matches in SemOpenAlex for { <https://semopenalex.org/work/W4246394096> ?p ?o ?g. }

• W4246394096 abstract "Prediction of Steamflood Performance in Heavy Oil Reservoirs Using Correlations Developed by Factorial Design Method C. Chu C. Chu Texaco Inc. Search for other works by this author on: This Site Google Scholar Paper presented at the SPE California Regional Meeting, Ventura, California, April 1990. Paper Number: SPE-20020-MS https://doi.org/10.2118/20020-MS Published: April 04 1990 Cite View This Citation Add to Citation Manager Share Icon Share Twitter LinkedIn Get Permissions Search Site Citation Chu, C. Prediction of Steamflood Performance in Heavy Oil Reservoirs Using Correlations Developed by Factorial Design Method. Paper presented at the SPE California Regional Meeting, Ventura, California, April 1990. doi: https://doi.org/10.2118/20020-MS Download citation file: Ris (Zotero) Reference Manager EasyBib Bookends Mendeley Papers EndNote RefWorks BibTex Search Dropdown Menu nav search search input Search input auto suggest search filter All ContentAll ProceedingsSociety of Petroleum Engineers (SPE)SPE Western Regional Meeting Search Advanced Search AbstractBy using the factorial design method, statistically significant correlations have been developed which enable one to predict steamflood performance in terms of project life, oil recovery and cumulative steam-oil ratio. The effects of various reservoir rock and fluid properties and steamflood design and operating variables on steamflood performance were discussed.IntroductionThe ideal way of predicting reservoir performance under steamflood is through numerical simulation. However, this approach may not be always feasible due to either the lack of a reliable thermal simulator or the lack of qualified personnel to run the simulator. In some instances, such as estimation of oil reserves, screening thermal prospects or making preliminary engineering design, detailed simulation may not preliminary engineering design, detailed simulation may not be warranted. Besides, early in the development of a detailed simulation, a simple method of predicting reservoir performance will provide a means of comparison. Under all performance will provide a means of comparison. Under all these circumstances, some correlations which allow the prediction of steamflood performance without resorting to prediction of steamflood performance without resorting to numerical simulation will be useful. The purpose of this work is to develop such correlations. The end result of this study is a simple computer program, written in BASIC, which can be used to predict steamflood performance in heavy oil reservoirs (Appendix A).A large amount of simulation by use of a three-dimensional numerical model has been made in this work so that the users of the correlations can predict steamflood performance without the expense of doing simulation. The independent variables used in the correlations include reservoir rock and fluid properties such as reservoir thickness, porosity, permeability, initial oil saturation, and oil viscosity, along permeability, initial oil saturation, and oil viscosity, along with steamflood design and operating variables such as pattern size, steam injection rate, and steam quality. With these quantities known, one can use the correlations hereby developed to predict steamflood performance in regard to project life, oil recovery and cumulative steam-oil ratio project life, oil recovery and cumulative steam-oil ratio (SOR).In 1980 Gomaa developed a set of correlation charts for predicting oil recovery and cumulative oil-steam ratio, predicting oil recovery and cumulative oil-steam ratio, emphasizing the effects of steam quality, mobile oil saturation, reservoir thickness and net-gross ratio. One conspicuous absence in the independent variables included in his work is the oil viscosity which could greatly affect the steamflood performance. Gomaa's method uses graphical solutions which usually lack precision because the reading of values from a chart is subject to the user's judgment. The errors will be compounded if several charts needed to be read to obtain the answer. In his method, finding the oil recovery requires the use of no less than four charts.BASIC ASSUMPTIONSThe reservoir is horizontal, with no dipping.The reservoir is homogeneous throughout the entire thickness, with no intervening shale breaks.There is neither gas cap at the top nor free gas inside the oil sand.There is no water sand underneath the oil sand.The oil is sufficiently heavy to be adequately represented by a single hydrocarbon component which is non-volatile.P. 67 Keywords: saturation, initial oil saturation, oil saturation, oil viscosity, flow in porous media, reservoir, thermal method, thickness, steamflood performance, pattern size Subjects: Reservoir Fluid Dynamics, Improved and Enhanced Recovery, Flow in porous media, Thermal methods This content is only available via PDF. 1990. Society of Petroleum Engineers You can access this article if you purchase or spend a download." @default.
• W4246394096 created "2022-05-12" @default.
• W4246394096 creator A5052557689 @default.
• W4246394096 date "1990-04-01" @default.
• W4246394096 modified "2023-09-25" @default.
• W4246394096 title "Prediction of Steamflood Performance in Heavy Oil Reservoirs Using Correlations Developed by Factorial Design Method " @default.
• W4246394096 doi "https://doi.org/10.2523/20020-ms" @default.
• W4246394096 hasPublicationYear "1990" @default.
• W4246394096 type Work @default.
• W4246394096 citedByCount "0" @default.
• W4246394096 crossrefType "proceedings-article" @default.
• W4246394096 hasAuthorship W4246394096A5052557689 @default.
• W4246394096 hasConcept C119857082 @default.
• W4246394096 hasConcept C127413603 @default.
• W4246394096 hasConcept C169222746 @default.
• W4246394096 hasConcept C39432304 @default.
• W4246394096 hasConcept C41008148 @default.
• W4246394096 hasConcept C78762247 @default.
• W4246394096 hasConceptScore W4246394096C119857082 @default.
• W4246394096 hasConceptScore W4246394096C127413603 @default.
• W4246394096 hasConceptScore W4246394096C169222746 @default.
• W4246394096 hasConceptScore W4246394096C39432304 @default.
• W4246394096 hasConceptScore W4246394096C41008148 @default.
• W4246394096 hasConceptScore W4246394096C78762247 @default.
• W4246394096 hasLocation W42463940961 @default.
• W4246394096 hasOpenAccess W4246394096 @default.
• W4246394096 hasPrimaryLocation W42463940961 @default.
• W4246394096 hasRelatedWork W2356805007 @default.
• W4246394096 hasRelatedWork W2357811016 @default.
• W4246394096 hasRelatedWork W2363664644 @default.
• W4246394096 hasRelatedWork W2377525504 @default.
• W4246394096 hasRelatedWork W2381403314 @default.
• W4246394096 hasRelatedWork W2385218128 @default.
• W4246394096 hasRelatedWork W2393669559 @default.
• W4246394096 hasRelatedWork W2899084033 @default.
• W4246394096 hasRelatedWork W4237271129 @default.
• W4246394096 hasRelatedWork W4328029775 @default.
• W4246394096 isParatext "false" @default.
• W4246394096 isRetracted "false" @default.
• W4246394096 workType "article" @default.