Evaluation of Low-Concentration Surfactant Flooding in the Absence of Mobility Control Agents

Raterman, Kevin T.; Kremesec, V.J.; Suffridge, F.E.

doi:10.2118/17394-ms

Cited by 4 publications

(2 citation statements)

References 17 publications

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“…There are a number of technical considerations that can influence the surfactant-flood design, such as conformance strategies, mobility control, chemical treatment, mixing requirements, and water source (Trantham 1983;Raterman et al 1988;Reppert et al 1990;Maerker and Gale 1992). These issues are not considered as part of the decision strategy in this study because our main aim is to demonstrate the LSM method in decision making in the context of surfactant flooding.…”

Section: Problem Definitionmentioning

confidence: 99%

Decision Making Under Uncertainty: Applying the Least-Squares Monte Carlo Method in Surfactant-Flooding Implementation

2013

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This study introduces a decision-making evaluation method for flexibility in surfactant flooding. The method aims to capture the effects of uncertainty in the time series for both technical and economic parameters and produce a near-optimal policy with respect to these uncertainties as they vary with time. The evaluation method used was the least-squares Monte Carlo (LSM) method, which is best-suited for evaluating flexibility in project implementation. The decision analyzed was that of finding the best time to start surfactant flooding during the lifetime of a field under uncertainty. The study was conducted on two reservoir models: a 3D homogeneous model and a 2D heterogeneous model. The technical uncertainties considered were the residual oil saturation (ROS) to the surfactant flood, surfactant adsorption, and reservoir heterogeneity, and the main economic uncertain parameters considered were oil price, surfactant cost, and water-injection and -production costs. The results show that the LSM method provides a decision-making tool that was able to capture the value of flexibility in surfactant-flooding implementation and provides some insight into the effect of uncertainty on decision making, which can help mitigate adverse circumstances should they arise or capture the upside potential if circumstances prove beneficial. The results found that the optimal policy obtained was reliable and that heterogeneity and different well-placement patterns affect the value of flexibility and optimal policy for different reservoir models. Furthermore, possible extensions to enhance the LSM method were discussed.

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Section: Problem Definitionmentioning

confidence: 99%

Decision Making Under Uncertainty: Applying the Least-Squares Monte Carlo Method in Surfactant-Flooding Implementation

2013

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“…There are numerous mathematical modeling and experimental studies of various aspects of surfactant flooding in the literature (Raterman et al, 1988;Sanz and Pope, 1995;Yang and Wadleigh, 2000;Sanele and Yortsos, 1986;Hornof and Morrow, 1987).…”

Section: Introductionmentioning

confidence: 99%

An Experimental Investigation of Surfactant Flooding Efficiency in Low Viscosity Oil Using a Glass Micromodel

Hematpour¹,

Arabjamloei

Nematzadeh

et al. 2012

Energy Sources, Part A: Recovery, Utilization, and Environmenta

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A surfactant flooding technique is developed to reduce the amount of residual oil saturation by reducing interfacial tension between multiple phases. Using surfactant flooding in the case of high viscosity oil has been successful, whereas there has not been a complete study of efficiency of this method when dealing with low viscosity oil. In the present study, to investigate the behavior of surfactant flooding in low viscosity oil, the transparent material (glass) was used to construct a micromodel and to study various features of micro-displacement. By implementing a micromodel, the displacement of the fluid and menisci was observed and investigated with the aid of high resolution images. In this work, three types of quarter fivespot glass micromodel patterns were designed and developed, and considered as porous medium. These patterns were saturated with a light and low viscosity oil sample from an Iranian fractured reservoir, and then flooded by surfactant slug in low pressure and low temperature conditions. Two surfactant types, PNX-2360 TM and linear alkylbenzene sulphonate, were utilized to inspect the effects of surfactant type, surfactant concentration, co-surfactant concentration, and pore structure in the presence of connate water, and their results were compared to water flooding. Moreover, high resolution images were captured, which illustrate the interaction between surfactant and connate water in micro-scale. The results of experiments illustrated that linear alkylbenzene sulphonate results in higher recovery. It was also found that recovery rises by increasing surfactant concentration. Testing different concentrations of co-surfactants demonstrated that, however, lower concentration of co-surfactants leads to higher recovery, but this increase in recovery is economically considerable. In addition, compared with water flooding, surfactant flooding resulted in a considerable growth in ultimate oil recovery.

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A review on applications of nanotechnology in the enhanced oil recovery part A: effects of nanoparticles on interfacial tension

2016

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Chemical enhanced oil recovery is another strong growing technology with the potential of a step change innovation, which will help to secure future oil supply by turning resources into reserves. While Substantial amount of crude oil remains in the reservoir after primary and secondary production, conventional production methods give access to on average only one-third of original oil in place, the use of surfactants and polymers allows for recovery of up to another third of this oil. Chemical flooding is of increasing interest and importance due to high oil prices and the need to increase oil production. Research in nanotechnology in the petroleum industry is advancing rapidly and an enormous progress in the application of nanotechnology in this area is to be expected. Nanotechnology has the potential to profoundly change enhanced oil recovery and to improve mechanism of recovery. This paper, therefore, focuses on the reviews of the application of nano technology in chemical flooding process in oil recovery and reviews the application nano in the polymer and surfactant flooding on the interfacial tension process.

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Evaluation of Low-Concentration Surfactant Flooding in the Absence of Mobility Control Agents

Cited by 4 publications

References 17 publications

Decision Making Under Uncertainty: Applying the Least-Squares Monte Carlo Method in Surfactant-Flooding Implementation

Decision Making Under Uncertainty: Applying the Least-Squares Monte Carlo Method in Surfactant-Flooding Implementation

An Experimental Investigation of Surfactant Flooding Efficiency in Low Viscosity Oil Using a Glass Micromodel

A review on applications of nanotechnology in the enhanced oil recovery part A: effects of nanoparticles on interfacial tension

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