Optimization of petroleum reservoir waterflooding using receding horizon approach

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dc.contributor.authorGrema, Alhaji Shehu
dc.contributor.authorCao, Yi
dc.date.accessioned2020-04-07T15:37:53Z
dc.date.available2020-04-07T15:37:53Z
dc.date.issued2013-07-25
dc.description.abstractIn this paper, static and dynamic optimization of a reservoir waterflooding process for enhanced oil recovery was studied. The dynamic optimization was achieved using receding horizon (RH) algorithms. Two forms of RH which are movingend and fixed-end RH were formulated and compared. MATLAB Reservoir Simulator (MRST) from SINTEF was used for reservoir simulation. The objective function to be maximized is net present value (NPV) of the venture while the control variable is water injection rate. Sequential quadratic programming (SQP) was applied for the optimization. It was found out that fixed-end RH gave the highest NPV with improvements of 0.81% and 1.49% over static and moving-end RH strategies respectivelyen_UK
dc.identifier.citationGrema AS, Cao Y. (2013) Optimization of petroleum reservoir waterflooding using receding horizon approach. In: 8th IEEE Conference on Industrial Electronics and Applications (ICIEA), 19-21 June 2013, Melbourne, Australia, pp. 397-402en_UK
dc.identifier.isbn978-1-4673-6322-8
dc.identifier.urihttps://doi.org/10.1109/ICIEA.2013.6566402
dc.identifier.urihttp://dspace.lib.cranfield.ac.uk/handle/1826/15382
dc.language.isoenen_UK
dc.publisherIEEEen_UK
dc.rightsAttribution-NonCommercial 4.0 International*
dc.rights.urihttp://creativecommons.org/licenses/by-nc/4.0/*
dc.subjectenhanced oil recoveryen_UK
dc.subjectwaterflooding processen_UK
dc.subjectfixed-end receding horizonen_UK
dc.subjectmoving-end receding horizonen_UK
dc.subjectstatic optimizationen_UK
dc.subjectdynamic optimizationen_UK
dc.titleOptimization of petroleum reservoir waterflooding using receding horizon approachen_UK
dc.typeConference paperen_UK

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