Improvements on modelling wettability alteration by Engineered water injection: Surface complexation at the oil/brine/rock contact

Rego, Fabio Bordeaux; Mehrabi, Mehran; Sanaei, Alireza; Sepehrnoori, Kamy

doi:10.1016/j.fuel.2020.118991

Cited by 32 publications

(24 citation statements)

References 56 publications

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“…Please refer to an extensive review of laboratory work and proposed mechanisms [2][3][4][5]. Finally, we propose our framework method and verify it using the wettability alteration model proposed by Sanaei et al [6] and Bordeaux-Rego et al [7] to predict oil recovery. We use laboratory data from Lima [8] from Brazilian Pre-Salt Carbonate experiments as an example that has never been modeled previously, as far as the authors know.…”

Section: Introductionmentioning

confidence: 87%

“…In summary, the approach applies surface complexation modeling to predict surface potentials, required to calculate the disjoining force between two parallel surfaces (rock and oil) separated by an aqueous phase using Extended-DLVO theory. Bordeaux-Rego et al [7] proposed improvements to the model suggested by Sanaei for a better wettability prediction and reported a review of main surface chemistry and interfacial phenomena aspects related to wettability. The authors succeeded in predicting dozens of contact angles using ZP to calibrate surface complexation reactions.…”

Section: Experimental Observations and Mechanismsmentioning

confidence: 99%

“…We apply the model proposed by Sanaei et al [6] and Bordeaux-Rego et al [7]. The method consists of first computing interfacial forces between oil and rock surfaces that are separated by an aqueous phase (the disjoining pressure).…”

Section: Wettability Alteration Modelingmentioning

confidence: 99%

“…The model's limitations reside in computing contact angle for oil-wet regions (θ > 120) and having a large number of parameters. In order to lessen this issue, we keep all parameters used in this model similar to as proposed by Sanaei et al [6] and Bordeaux-Rego et al [7] shown in Appendix A. Wettability alteration by calcite dissolution as a possible mechanism is not considered since the mineral assemblage is stable for all mixtures (Figure 1).…”

Section: Wettability Alteration Modelingmentioning

confidence: 99%

“…We use the same brine, oil, and mineralogy composition for surface potential and contact angle estimation for all simulations. However, since Lima [8] did not measure zeta-potential for rock and oil, we use the SCM equilibrium constants and reactions proposed by Bordeaux-Rego et al [7] that matched of Al-Mahrouqi et al [28] zeta-potential data (Appendix B). The simulation equilibrium condition is the same as presented in the previous section.…”

Section: Wettability Alteration Modelingmentioning

confidence: 99%

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Modeling Oil Recovery in Brazilian Carbonate Rock by Engineered Water Injection Using Numerical Simulation

et al. 2021

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Waterflooding remains the most commonly used method to improve oil recovery. Although the injected brine type is mainly dependent on its availability, few of its characteristics can be controlled during project design. Published laboratory work indicates that the adjustment of injected brine composition can cause an increase in oil production by wettability alteration. This research objective is to propose a novel four-step framework for modeling improved oil recovery by Engineered Water Injection from laboratory to numerical simulation for carbonate formations. We use a geochemical-based model that estimates contact angles to predict wettability alteration. The steps are (1) screening criteria, (2) geochemical evaluation, (3) wettability alteration modeling, and (4) coreflood history-match. We validate our framework by conducting history-match simulations of Brazilian Pre-Salt corefloods. Incremental oil recovery factors are between 5 to 11%, consistent with those reported during experiments. The reduction in residual oil saturation varied from 3 to 5%. This work is a new systematic procedure to model oil recovery using a comprehensive approach that is fundamental to understanding the underlying wettability alteration mechanisms by Engineered Water Injection.

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Section: Introductionmentioning

confidence: 87%

Section: Experimental Observations and Mechanismsmentioning

confidence: 99%

Section: Wettability Alteration Modelingmentioning

confidence: 99%

Section: Wettability Alteration Modelingmentioning

confidence: 99%

Section: Wettability Alteration Modelingmentioning

confidence: 99%

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Modeling Oil Recovery in Brazilian Carbonate Rock by Engineered Water Injection Using Numerical Simulation

et al. 2021

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An auto-tuned hybrid deep learning approach for predicting fracture evolution

Sheng

Cheng

Yang

et al. 2022

Engineering with Computers

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In this study, a novel auto-tuned hybrid deep learning approach composed of three base deep learning models, namely, long short-term memory, gated recurrent unit, and support vector regression, is developed to predict the fracture evolution process. The novelty of this framework lies in the auto-determined hyperparameter configurations for each base model based on the Bayesian optimization technique, which guarantees the fast and easy implementation in various practical applications. Moreover, the ensemble modeling technique auto consolidates the predictive capability of each base model to generate the final optimized hybrid model, which offers a better prediction of the overall fracture pattern evolution, as demonstrated by a case study. The comparison of the different prediction strategies exhibits that the direct prediction is a better option than the recursive prediction, in particular for a longer prediction distance. The proposed approach may be applied in various sequential data predictions by adopting the adaptive prediction scheme.

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