2017
DOI: 10.1016/j.petlm.2017.05.006
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Optimized polymer flooding projects via combination of experimental design and reservoir simulation

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Cited by 18 publications
(8 citation statements)
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“…Extensive research has proven that PF numerical simulation is a powerful tool for feasibility evaluation, scheme optimization, and production forecasting of PF, which can effectively reduce the risks associated with PF and play a guiding role in assessing and controlling PF [ 19 ]. An ideal PF numerical simulator should comprehensively consider the most relevant mechanisms and describe a PF process as accurately as possible in order to assure reliable results [ 20 ].…”
Section: Introductionmentioning
confidence: 99%
“…Extensive research has proven that PF numerical simulation is a powerful tool for feasibility evaluation, scheme optimization, and production forecasting of PF, which can effectively reduce the risks associated with PF and play a guiding role in assessing and controlling PF [ 19 ]. An ideal PF numerical simulator should comprehensively consider the most relevant mechanisms and describe a PF process as accurately as possible in order to assure reliable results [ 20 ].…”
Section: Introductionmentioning
confidence: 99%
“…Bevillon and Mohagerani [14] used Latin Hypercube design to check sensitivities and quantify uncertainties in a miscible EOR project in the Middle East. Bengar et al [15] conducted sensitivity analysis for polymer injection using two-level full factorial design. Adepoju et al [16] proposed a lumped approach to account for parameter dependency in a surfactant-polymer flood and demonstrated their method on a field case.…”
Section: Introductionmentioning
confidence: 99%
“…Polymer flooding simulation was chosen due to its effectiveness in forecasting, estimating, and analyzing the factors that influence polymer flooding [26]. Most polymer physicochemical properties can be characterized [27].…”
Section: Introductionmentioning
confidence: 99%