Polymer flooding design and optimization under economic uncertainty

AlSofi, Abdulkareem M.; Blunt, Martin J.

doi:10.1016/j.petrol.2014.10.014

Cited by 37 publications

(26 citation statements)

References 19 publications

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“…In terms of the use in offshore heavy-oil reservoirs, Kang and Jian presented the main problems on oil recovery and concluded that the water salinity was the most important factor affecting the success of polymer flooding processes [7]. Alsofi et al demonstrated that the streamline simulation scheme showed better performance than the conventional simulation scheme for polymer core-flood tests; further, they determined that the polymer solution should be injected as soon as possible before any water flooding for achieving the best outcomes [8]. In contrast, Zhou et al conducted experiments on various chemical flooding sequences and showed the importance of a second polymer slug after the first chemical injection with an injected water slug in between [9].…”

Section: Introductionmentioning

confidence: 99%

Chemical Flooding in Heavy-Oil Reservoirs: From Technical Investigation to Optimization Using Response Surface Methodology

Van

Chon

2016

Energies

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Heavy-oil resources represent a large percentage of global oil and gas reserves, however, owing to the high viscosity, enhanced oil recovery (EOR) techniques are critical issues for extracting this type of crude oil from the reservoir. According to the survey data in Oil & Gas Journal, thermal methods are the most widely utilized in EOR projects in heavy oil fields in the US and Canada, and there are not many successful chemical flooding projects for heavy oil reported elsewhere in the world. However, thermal methods such as steam injection might be restricted in cases of thin formations, overlying permafrost, or reservoir depths over 4500 ft, for which chemical flooding becomes a better option for recovering crude oil. Moreover, owing to the considerable fluctuations in the oil price, chemical injection plans should be employed consistently in terms of either technical or economic viewpoints. The numerical studies in this work aim to clarify the predominant chemical injection schemes among the various combinations of chemical agents involving alkali (A), surfactant (S) and polymer (P) for specific heavy-oil reservoir conditions. The feasibilities of all potential injection sequences are evaluated in the pre-evaluation stage in order to select the most efficient injection scheme according to the variation in the oil price which is based on practical market values. Finally, optimization procedures in the post-evaluation stage are carried out for the most economic injection plan by an effective mathematic tool with the purpose of gaining highest Net Present Value (NPV) of the project. In technical terms, the numerical studies confirm the predominant performances of sequences in which alkali-surfactant-polymer (ASP) solution is injected after the first preflushing water whereby the recovery factor can be higher than 47%. In particular, the oil production performances are improved by injecting a buffering viscous fluid right after the first chemical slug rather than using a water slug in between. The results of the pre-evaluation show that two sequences of the ASP group have the highest NPV corresponding to the dissimilar applied oil prices. In the post-evaluation, the successful use of response surface methodology (RSM) in the estimation and optimization procedures with coefficients of determination R 2 greater than 0.97 shows that the project can possibly gain 4.47 $MM at a mean oil price of 46.5 $/bbl with the field scale of a quarter five-spot pattern. Further, with the novel assumption of normal distribution for the oil price variation, the chemical flooding sequence of concurrent alkali-surfactant-polymer injection with a buffering polymer solution is evaluated as the most feasible scheme owing to the achievement of the highest NPV at the highly possible oil price of 40-55 $/bbl compared to the other scheme.

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Section: Introductionmentioning

confidence: 99%

Chemical Flooding in Heavy-Oil Reservoirs: From Technical Investigation to Optimization Using Response Surface Methodology

Van

Chon

2016

Energies

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“…The effect of the first slug of surfactant and polymer noticeably appears for the wells P 3 and P 4 where it manages to reduce the rise of the water rate. But the injected concentrations are clearly not sufficient here.…”

Section: First Numerical Resultsmentioning

confidence: 99%

“…Optimization workflows based on Response Surface Modeling (RSM) can help choose an optimal design. Different methodologies have already been proposed in previous works [3][4][5][6] for EOR processes based on P, SP or ASP injections of polymer and/or surfactants with or without alkalines (A stands for alkaline, S for surfactant and P for polymer). These workflows consist of three main steps.…”

Section: Introductionmentioning

confidence: 99%

Sensitivity Analysis and Optimization of Surfactant-Polymer Flooding under Uncertainties

Douarche

Veiga

Feraille

et al. 2014

Oil Gas Sci. Technol. – Rev. IFP Energies nouvelles

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Geosciences Numerical Methods Modélisation numérique en géosciencesOil & Gas Science and Technology -Rev. IFP Energies nouvelles, Vol. 69 (2014), No. 4, Copyright © 2014, IFP Energies nouvelles > EditorialJ. E. Roberts > Modeling Fractures in a Poro-Elastic MediumUn modèle de fracture dans un milieu poro-élastique > Modeling Fluid Flow in Faulted BasinsModélisation des transferts fluides dans les bassins faillés Re´sume´-Analyse de sensibilite´et optimisation sous incertitudes de proce´de´s EOR de type surfactant-polyme`re -La re´cupe´ration ame´liore´e des hydrocarbures, base´e sur l'injection d'agents chimiques, est actuellement une solution conside´re´e comme une des plus prometteuses pour ame´liorer la re´cupe´ration de champs matures. Pour des proce´de´s base´s sur une injection de polyme`res et de surfactants, plusieurs parame`tres doivent eˆtre pris en compte pour pouvoir estimer le retour sur investissement : concentrations des espe`ces chimiques injecte´es, tailles des bouchons, saturation en huile re´siduelle, taux d'adsorption des agents sur la roche, etc. Parmi ces parame`tres, certains sont des parame`tres de controˆle et d'autres des parame`tres incertains. Pour des ope´rateurs, de´terminer les valeurs optimales des parame`tres de controˆle tout en tenant compte des incertitudes lie´es aux parame`tres incertains n'est pas une taˆche facile dans la pratique. Cet article propose une me´thodologie comme support a`la re´solution de ce type de proble`me. À partir d'un mode`le synthe´tique de re´servoir ou`une injection de surfactant et de polyme`re est effectue´e, quelques parame`tres de controˆle et incertains sont retenus comme pouvant potentiellement influencer la production. Certains sont des entre´es fonctionnelles du simulateur de re´servoir de´finies sous forme tabule´e, de fac¸on a`offrir plus de flexibilite´al 'utilisateur. Puisqu'une modification point par point de ces tables engendrerait un nombre de parame`tres trop e´leve´, une parame´trisation spe´cifique est propose´e pour ce type de donne´es. Nous pre´sentons ensuite une me´thodologie base´e sur une mode´lisation par surface de re´ponse pour pouvoir estimer la production d'huile calcule´e par le simulateur de re´servoir a`partir des parame`tres retenus, et identifier parmi eux les parame`tres les plus influents. Cette mode´lisation par surface de re´ponse est base´e sur une de´composition de type Karhunen-Loe`ve de la re´ponse en temps du simulateur et sur une approximation des composantes de cette de´composition par processus Gaussien. Cette technique nous permet d'acce´le´rer de manie`re substantielle les temps de calcul au moment de la construction des surfaces de re´ponse. Une fois que les surfaces sont suffisamment pre´dictives, celles-ci sont utilise´es pour optimiser les parame`tres de controˆle en tenant compte a`la fois des incertitudes et de contraintes e´conomiques. Aucune simulation de re´servoir supple´mentaire n'est re´alise´e dans cette dernie`re e´tape.Abstract -Sensitivity Analysis and Optimization of Surfactant-Polymer...

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“…Douarche et al [16] utilized response surface methodology to develop a surrogate model by which oil recovery from a surfactant-polymer flood was estimated and optimized. AlSofi and Blunt [17] simulated rheological behavior of polymer as a non-Newtonian fluid using streamline approach to evaluate polymer-flooding design.…”

Section: Introductionmentioning

confidence: 99%

Multi-Objective Optimization of Microemulsion Flooding for Chemical Enhanced Oil Recovery

Karambeigi

Asl

Nasiri

2018

Oil & Gas Science and Technology - Rev. IFP Energies nouvel

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-Microemulsion flooding is one of the most effective methods of Chemical Enhanced Oil Recovery (CEOR), particularly for the production of residual oil trapped in unconventional reservoirs. A critical step for successful application of this technique is to achieve a suitable formulation. Previous studies have almost focused on the technical aspects while considering both practical and economic matters as conflicting objectives have been neglected. In the present paper, the formulation of microemulsion is optimized based on the trade-off between scientific and financial responses using a hybrid workflow in which experimental design and artificial intelligence methodologies are composed. To appraise the efficiency of developed algorithm, a challenge case study is first evaluated and compared to previous approaches. Thereafter, the second case is examined in which a newly developed formulation of microemulsion for high temperature carbonate reservoirs is optimized. The outcomes of this multi-attribute workflow are compared to a single-objective algorithm. The results indicate the outstanding performance of the proposed approach for multi-objective optimization of microemulsion formulation. Eventually, the possible concerns regarding the application of microemulsion flooding in unconventional reservoirs are discussed.

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Polymer flooding design and optimization under economic uncertainty

Cited by 37 publications

References 19 publications

Chemical Flooding in Heavy-Oil Reservoirs: From Technical Investigation to Optimization Using Response Surface Methodology

Chemical Flooding in Heavy-Oil Reservoirs: From Technical Investigation to Optimization Using Response Surface Methodology

Sensitivity Analysis and Optimization of Surfactant-Polymer Flooding under Uncertainties

Multi-Objective Optimization of Microemulsion Flooding for Chemical Enhanced Oil Recovery

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