Modeling Chemical EOR Processes: Some Illustrations from Lab to Reservoir Scale

Douarche, F.; Rousseau, David; Bazin, Brigitte; Tabary, René; Moreau, Patrick; Morvan, Mikel

doi:10.2516/ogst/2012059

Cited by 8 publications

(6 citation statements)

References 21 publications

Supporting

Mentioning

Contrasting

Order By: Relevance

“…The two major technical problems are to avoid losses due to adsorption on the solid interfaces in the well, and the high variability of temperature and porosity (high surface to volume ratio) from the injection point to the production point in the oil field. 518 First applications of different formulations that are more nanoemulsions than microemulsions will probably come for oil-spill cleanup near the surface. 519 The most likely evolution of EOR using microemulsions is in conjunction with mastering microemulsions formulation in CO 2 , since CO 2 is produced in massive quantities in bituminous shale.…”

Section: Enhanced Oil Recovery (Eor)mentioning

confidence: 99%

“…Currently, best reported values lie in the range of ten to hundred times the conventional cost. The two major technical problems are to avoid losses due to adsorption on the solid interfaces in the well, and the high variability of temperature and porosity (high surface to volume ratio) from the injection point to the production point in the oil field . First applications of different formulations that are more nanoemulsions than microemulsions will probably come for oil-spill cleanup near the surface …”

Section: Microemulsions Used In Applicationsmentioning

confidence: 99%

See 1 more Smart Citation

Using Microemulsions: Formulation Based on Knowledge of Their Mesostructure

et al. 2021

View full text Add to dashboard Cite

Microemulsions, as thermodynamically stable mixtures of oil, water, and surfactant, are known and have been studied for more than 70 years. However, even today there are still quite a number of unclear aspects, and more recent research work has modified and extended our picture. This review gives a short overview of how the understanding of microemulsions has developed, the current view on their properties and structural features, and in particular, how they are related to applications. We also discuss more recent developments regarding nonclassical microemulsions such as surfactant-free (ultraflexible) microemulsions or ones containing uncommon solvents or amphiphiles (like antagonistic salts). These new findings challenge to some extent our previous understanding of microemulsions, which therefore has to be extended to look at the different types of microemulsions in a unified way. In particular, the flexibility of the amphiphilic film is the key property to classify different microemulsion types and their properties in this review. Such a classification of microemulsions requires a thorough determination of their structural properties, and therefore, the experimental methods to determine microemulsion structure and dynamics are reviewed briefly, with a particular emphasis on recent developments in the field of direct imaging by means of electron microscopy. Based on this classification of microemulsions, we then discuss their applications, where the application demands have to be met by the properties of the microemulsion, which in turn are controlled by the flexibility of their amphiphilic interface. Another frequently important aspect for applications is the control of the rheological properties. Normally, microemulsions are low viscous and therefore enhancing viscosity has to be achieved by either having high concentrations (often not wished for) or additives, which do not significantly interfere with the microemulsion. Accordingly, this review gives a comprehensive account of the properties of microemulsions, including most recent developments and bringing them together from a united viewpoint, with an emphasis on how this affects the way of formulating microemulsions for a given application with desired properties.

show abstract

Section: Enhanced Oil Recovery (Eor)mentioning

confidence: 99%

Section: Microemulsions Used In Applicationsmentioning

confidence: 99%

Using Microemulsions: Formulation Based on Knowledge of Their Mesostructure

et al. 2021

View full text Add to dashboard Cite

show abstract

“…It must be mentioned that the exact value of is influenced by how the curve fitting is performed and the range of ganglia sizes used for fitting the power law. Previous works reported the need of studying the effects of polymer concentration on the oil recovery performance using laboratory experiments [61]. In particular, CDCs are essential inputs in typical reservoir simulation software for EOR [9,21].…”

Section: Ganglia Size Distribution and Analysismentioning

confidence: 99%

Effects of shear-thinning fluids on residual oil formation in microfluidic pore networks

Castro

Oostrom

Shokri

2016

Journal of Colloid and Interface Science

View full text Add to dashboard Cite

Two-phase immiscible displacement in porous media is controlled by capillary and viscous forces when gravitational effects are negligible. The relative importance of these forces is quantified through the dimensionless capillary number Ca and the viscosity ratio M between fluid phases. When the displacing fluid is Newtonian, the effects of Ca and M on the displacement patterns can be evaluated independently. However, when the injecting fluids exhibit shear-thinning viscosity behaviour the values of M and Ca are interdependent. Under these conditions, the effects on phase entrapment and the general displacement dynamics cannot be dissociated. In the particular case of shear-thinning aqueous polymer solutions, the degree of interdependence between M and Ca is determined by the polymer concentration. In this work, two-phase immiscible displacement experiments were performed in micromodels, using shear-thinning aqueous polymer solutions as displacing fluids, to investigate the effect of polymer concentration on the relationship between Ca and M, the recovery efficiency, and the size distribution of the trapped non-wetting fluid. Our results show that the differences in terms of magnitude and distribution of the trapped phase are related to the polymer concentration which influences the values of Ca and M.

show abstract

“…Therefore, one additional series of measurements is required. For this, we use the reference set S1 (8), set an ionic strength to I µ,2 and proceed to a new series of measurements…”

Section: Determination Of Salinity/ionic Strength Dependencementioning

confidence: 99%

Reservoir simulation model calibration methodology with polymer flooding based on laboratory experiments

Preux

Malinouskaya

2019

Journal of Petroleum Science and Engineering

View full text Add to dashboard Cite

Due to its high apparent viscosity, polymer is considered as an alternative to water as injection fluid in hydrocarbon reservoirs. The mobility of the waterpolymer mixture is much smaller than that of water alone, which helps prevent undesirable viscous fingering. Nevertheless, the selection of a polymer process involves a procedure for assessing the performance of the polymer in terms of mobility reduction. This procedure involves laboratory experiments in which the pressure losses are measured during polymer displacement, as well as during water displacement. In the next step of the procedure, a model is calibrated by simulation in order to predict the efficiency of the polymer. Although the polymer models traditionally used at this stage are relatively simple, their calibration from the results of the laboratory tests is much more intricate, insofar as the mobility reduction generated by the polymer depends not only on the concentration but also on the temperature, the salinity and the shear rate. In this paper, we put forward a new approach to this multivariate problem and propose a rigorous calibration methodology which allows for a fast physical representativity, thus limiting the number of laboratory experiments. This methodology is the subject of a pending patent application (FR 18/58547).

show abstract

Modeling Chemical EOR Processes: Some Illustrations from Lab to Reservoir Scale

Cited by 8 publications

References 21 publications

Using Microemulsions: Formulation Based on Knowledge of Their Mesostructure

Using Microemulsions: Formulation Based on Knowledge of Their Mesostructure

Effects of shear-thinning fluids on residual oil formation in microfluidic pore networks

Reservoir simulation model calibration methodology with polymer flooding based on laboratory experiments

Contact Info

Product

Resources

About