A simulation study on hydrogel performance for enhanced oil recovery using phase-field method.


Journal

Scientific reports
ISSN: 2045-2322
Titre abrégé: Sci Rep
Pays: England
ID NLM: 101563288

Informations de publication

Date de publication:
11 02 2022
Historique:
received: 07 11 2021
accepted: 28 01 2022
entrez: 12 2 2022
pubmed: 13 2 2022
medline: 13 2 2022
Statut: epublish

Résumé

Hydrogels are increasingly applied in oil recovery processes. This leads to more controlled flow of fluids in porous media. In this process, hydrogel is injected to the reservoir to block the high permeability areas. The trapped oil in low permeability regions, is then swept by water flooding. pH-sensitive hydrogel microspheres were synthesized in another work of the authors, which effectively increased the oil recovery factor in experimental studies. In this communication, phase-field approach was used to simulate this process and to obtain the tuning parameters of the model including thickness of the contact surface (є), phase transform parameter (M

Identifiants

pubmed: 35149758
doi: 10.1038/s41598-022-06388-0
pii: 10.1038/s41598-022-06388-0
pmc: PMC8837784
doi:

Types de publication

Journal Article

Langues

eng

Sous-ensembles de citation

IM

Pagination

2379

Informations de copyright

© 2022. The Author(s).

Références

Han, D. An approach to deep development of high water-cut oil fields to improve oil recovery. Pet. Explor. Dev. 22, 47–55 (1995).
Vahdanikia, N. et al. Integrating new emerging technologies for enhanced oil recovery: Ultrasonic, microorganism, and emulsion. J. Petrol. Sci. Eng. 192, 107229 (2020).
Fahandezhsaadi, M. et al. Laboratory evaluation of nitrogen injection for enhanced oil recovery: Effects of pressure and induced fractures. Fuel 253, 607–614 (2019).
Sofla, S. J. D., Sharifi, M. & Sarapardeh, A. H. Toward mechanistic understanding of natural surfactant flooding in enhanced oil recovery processes: The role of salinity, surfactant concentration and rock type. J. Mol. Liq. 222, 632–639 (2016).
Divandari, H., Hemmati-Sarapardeh, A., Schaffie, M. & Ranjbar, M. Integrating synthesized citric acid-coated magnetite nanoparticles with magnetic fields for enhanced oil recovery: Experimental study and mechanistic understanding. J. Petrol. Sci. Eng. 174, 425–436 (2019).
Ameli, F., Moghadam, S. & Shahmarvand, S. in Chemical Methods (eds Abdolhossein Hemmati-Sarapardeh et al.) 33–94 (Gulf Professional Publishing, 2022).
Ameli, F., Moghbeli, M. R. & Alashkar, A. On the effect of salinity and nano-particles on polymer flooding in a heterogeneous porous media: Experimental and modeling approaches. J. Petrol. Sci. Eng. 174, 1152–1168. https://doi.org/10.1016/j.petrol.2018.12.015 (2019).
doi: 10.1016/j.petrol.2018.12.015
Dakuang, H. Discussions on concepts, countermeasures and technical routes for the redevelopment of high water-cut oilfields. Pet. Explor. Dev. 37, 583–591 (2010).
Liu, R., Pu, W., Sheng, J. J. & Du, D. Star-like hydrophobically associative polyacrylamide for enhanced oil recovery: Comprehensive properties in harsh reservoir conditions. J. Taiwan Inst. Chem. Eng. 80, 639–649 (2017).
Feng, Y. et al. in International Symposium on Oilfield Chemistry. (Society of Petroleum Engineers).
Hu, S., Zhang, L., Yu, H., Wei, W. & Luo, J. Development and prospect of the profile control/water shutoff technology in reservoir high-capacity channels. Drill. Prod. Technol. 29, 117 (2006).
Liu, Y., Bai, B. & Wang, Y. Applied technologies and prospects of conformance control treatments in China. Oil Gas Sci. Technol. Rev. d’IFP Energies Nouvelles 65, 859–878 (2010).
Ma, S., Dong, M., Li, Z. & Shirif, E. Evaluation of the effectiveness of chemical flooding using heterogeneous sandpack flood test. J. Petrol. Sci. Eng. 55, 294–300 (2007).
Maurya, N. K., Kushwaha, P. & Mandal, A. Studies on interfacial and rheological properties of water soluble polymer grafted nanoparticle for application in enhanced oil recovery. J. Taiwan Inst. Chem. Eng. 70, 319–330 (2017).
Tessarolli, F. G., Gomes, A. S. & Mansur, C. R. Hydrogels applied for conformance-improvement treatment of oil reservoirs. Hydrogels, Haider S., Haider A.; Intechopen Limited: London, United Kingdom, 69–87 (2018).
Bai, B. et al. Conformance control by preformed particle gel: Factors affecting its properties and applications. SPE Reserv. Eval. Eng. 10, 415–421 (2007).
Bai, B., Liu, Y., Coste, J.-P. & Li, L. Preformed particle gel for conformance control: Transport mechanism through porous media. SPE Reserv. Eval. Eng. 10, 176–184 (2007).
Sengupta, B., Sharma, V. & Udayabhanu, G. Gelation studies of an organically cross-linked polyacrylamide water shut-off gel system at different temperatures and pH. J. Petrol. Sci. Eng. 81, 145–150 (2012).
Nishinari, K. in Gels: Structures, properties, and functions 87–94 (Springer, 2009).
Al-Muntasheri, G. A. Conformance control with polymer gels: What it takes to be successful. Arab. J. Sci. Eng. 37, 1131–1141 (2012).
Zhao, H., Zhao, P., Bai, B., Xiao, L. & Liu, L. Using associated polymer gels to control conformance for high temperature and high salinity reservoirs. J. Can. Petrol. Technol. 45 (2006).
Gehrke, S. H. in Responsive gels: Volume transitions II 81–144 (Springer, 1993).
Vasquez, J. E. & Eoff, L. S. in SPE Latin American and Caribbean Petroleum Engineering Conference. (Society of Petroleum Engineers).
Seright, R., Lane, R. & Sydansk, R. A strategy for attacking excess water production. SPE Prod. Facil. 18, 158–169 (2003).
Sydansk, R. D. & Southwell, G. in SPE/AAPG Western Regional Meeting. (Society of Petroleum Engineers).
Seright, R. & Liang, J. in SPE Latin America/Caribbean Petroleum Engineering Conference. (Society of Petroleum Engineers).
Choi, S. K. A Study of a pH-Sensitive Polymer for Novel Conformance Control Applications (2005).
Shiyi, Y. A mathematical model of high permeability channel blockage in a heterogeneous reservoir by in-situ polymer gelation process. Shíyóu xuébào 12, 49–59 (1991).
Chen, G., Zhao, G. & Ma, Y. Mathematical model of polymer linked profile control enhanced oil recovery. Qinghua Daxue Xuebao/J. Tsinghua Univ. China 44, 1606–1609 (2004).
Xu, L. & Guyenne, P. Numerical simulation of three-dimensional nonlinear water waves. J. Comput. Phys. 228, 8446–8466 (2009).
Feng, Q., Yuan, S. & Han, D. A new 3D streamline simulation model for weak gel driving. J. Basic Sci. Eng. 13, 146–153 (2005).
Wu, X.-C. et al. WU Xing-Cai, PetroChina Huabei Oilfield Company, Renqiu 062552, Hebei, China; Study on nonlinearity seepage characteristic and mathematical model of movable gel. Oil Drilling & Production Technology 5 (2006).
Cui, Y., Zhu, W., Sun, Y. & Ma, Q. Mathematical models of nonlinear porous flow for weak gel flooding system. J. Liaon. Tech. Univ. Nat. Sci. 28, 283–285 (2009).
Wu, D. et al. Review of experimental and simulation studies of enhanced oil recovery using viscoelastic particles. J. Dispers. Sci. Technol. 1–14 (2020).
Herzig, J., Leclerc, D. & Le Goff, P. Flow of suspensions through porous media-new differential equation for clogged beds is derived. Ind. Eng. Chem. 62, 8–35 (1970).
Zhang G., Feng Q.-H., Tong D.-K. Study on radial model of gel particle profile-control. J. Guangxi Univ. Nat. Sci. Edn. 3 (2009).
Wang, J., Liu, H., Wang, Z., Xu, J. & Yuan, D. Numerical simulation of preformed particle gel flooding for enhancing oil recovery. J. Petrol. Sci. Eng. 112, 248–257 (2013).
Jacqmin, D. Calculation of two-phase Navier–Stokes flows using phase-field modeling. J. Comput. Phys. 155, 96–127 (1999).
Brackbill, J. U., Kothe, D. B. & Zemach, C. A continuum method for modeling surface tension. J. Comput. Phys. 100, 335–354 (1992).
Kothe, D., Rider, W., Mosso, S., Brock, J. & Hochstein, J. in 34th Aerospace Sciences Meeting and Exhibit. 859.
Lafaurie, B., Nardone, C., Scardovelli, R., Zaleski, S. & Zanetti, G. Modelling merging and fragmentation in multiphase flows with SURFER. J. Comput. Phys. 113, 134–147 (1994).
Zaleski, B. N. S. Investigations of a two-phase fluid model. Eur. J. Mech. B/Fluids 15, 885 (1996).
Anderson, D. & McFadden, G. A diffuse-interface description of internal waves in a near-critical fluid. Phys. Fluids 9, 1870–1879 (1997).
Antanovskii, L. K. A phase field model of capillarity. Phys. Fluids 7, 747–753 (1995).
Santos, A. & Bedrikovetsky, P. Size exclusion during particle suspension transport in porous media: Stochastic and averaged equations. Comput. Appl. Math. 23, 259–284 (2004).
Bedrikovetsky, P. Upscaling of stochastic micro model for suspension transport in porous media. Transp. Porous Media 75, 335–369 (2008).
You, Z., Badalyan, A. & Bedrikovetsky, P. Size-exclusion colloidal transport in porous media–stochastic modeling and experimental study. SPE J. 18, 620–633 (2013).
Liu, Y. et al. Flow of preformed particle gel through porous media: a numerical simulation study based on the size exclusion theory. Ind. Eng. Chem. Res. 56, 2840–2850 (2017).
Luan, Y., Liu, B., Hao, P., Zhan, K. & Liu, J. Oil displacement by supercritical CO
Cui, M., Wang, R., Lv, C. & Tang, Y. Research on microscopic oil displacement mechanism of CO
Fang, T. et al. Enhanced oil recovery with CO
Wang, W. et al. Simulation of liquid flow transport in nanoscale porous media using lattice Boltzmann method. J. Taiwan Inst. Chem. Eng. 121, 128–138 (2021).
Han, K., Feng, Y. & Owen, D. Numerical simulations of irregular particle transport in turbulent flows using coupled LBM-DEM. Comput. Model. Eng. Sci. 18, 87 (2007).
Ohtsuki, S. & Matsuoka, T. A study on the effect of particle transport on permeability in porous media by using hybrid LBM-DEM simulation. J. MMIJ 126, 503–511 (2010).
Xiong, Q., Madadi-Kandjani, E. & Lorenzini, G. A LBM–DEM solver for fast discrete particle simulation of particle–fluid flows. Continuum Mech. Thermodyn. 26, 907–917 (2014).
Cho, Y.-S. & Roh, S. H. Sol–gel synthesis of porous titania fibers by electro-spinning for water purification. J. Dispers. Sci. Technol. 39, 33–44 (2018).
Zhou, K. et al. An efficient LBM-DEM simulation method for suspensions of deformable preformed particle gels. Chem. Eng. Sci. 167, 288–296 (2017).
Yue, P., Feng, J. J., Liu, C. & Shen, J. A diffuse-interface method for simulating two-phase flows of complex fluids. J. Fluid Mech. 515, 293 (2004).
Amiri, H. A. & Hamouda, A. A. in Proceedings of 2012 COMSOL Conference in Milan.
Jamali, A., Moghbeli, M., Ameli, F., Roayaie, E. & Karambeigi, M. Synthesis and characterization of pH-sensitive poly (acrylamide-co-methylenebisacrylamide-co-acrylic acid) hydrogel microspheres containing silica nanoparticles: Application in enhanced oil recovery processes. J. Appl. Polym. Sci. 137, 48491 (2020).
Valvatne, P. H. & Blunt, M. J. Predictive pore‐scale modeling of two‐phase flow in mixed wet media. Water Resour. Res. 40 (2004).
Yue, P., Zhou, C. & Feng, J. J. Spontaneous shrinkage of drops and mass conservation in phase-field simulations. J. Comput. Phys. 223, 1–9 (2007).
Biben, T., Misbah, C., Leyrat, A. & Verdier, C. An advected-field approach to the dynamics of fluid interfaces. EPL Europhys. Lett. 63, 623 (2003).
Yang, X., Feng, J. J., Liu, C. & Shen, J. Numerical simulations of jet pinching-off and drop formation using an energetic variational phase-field method. J. Comput. Phys. 218, 417–428 (2006).
Akhlaghi Amiri, H. A. in COMSOL Conference 2014.
Boyer, F. & Lapuerta, C. Study of a three component Cahn–Hilliard flow model. ESAIM: Math Model. Numer. Anal. 40, 653–687 (2006).
Mirzaii, I. & Passandideh-Fard, M. Modeling free surface flows in presence of an arbitrary moving object. Int. J. Multiph. Flow 39, 216–226 (2012).
Saghafi, H. R., Naderifar, A., Gerami, S. & Farasat, A. Performance evaluation of viscosity characteristics of enhanced preformed particle gels (PPGS). Iran. J. Chem. Chem. Eng. (IJCCE) 35, 83–92 (2016).
Vasilopulus, Y. Computations of Two-phase Fluid Flows with Phase-Field Models (2016).

Auteurs

Seyed Hosein Hayatolgheibi (SH)

School of Chemical, Petroleum and Gas Engineering, Iran University of Science and Technology, 16846-13114, Tehran, Iran.

Forough Ameli (F)

School of Chemical, Petroleum and Gas Engineering, Iran University of Science and Technology, 16846-13114, Tehran, Iran. Ameli@iust.ac.ir.

Mohammad Reza Moghbeli (MR)

School of Chemical, Petroleum and Gas Engineering, Iran University of Science and Technology, 16846-13114, Tehran, Iran.

Classifications MeSH