Deterministic Smart Tools to Predict Recovery Factor Performance of Saline Water Injection in Carbonated Reservoirs

References

1. Al-Shalabi, E.W., Sepehrnoori, K. and Pope, G.
   , 2014. Mysteries behind the low salinity water injection technique. Journal of Petroleum Engineering, 2014.
   [Google Scholar]
2. Alameri, W., Teklu, T.W., Graves, R.M., Kazemi, H. and AlSumaiti, A.M.
   , 2014. Wettability alteration during low-salinity waterflooding in carbonate reservoir cores, SPE Asia Pacific Oil & Gas Conference and Exhibition. Society of Petroleum Engineers.
   [Google Scholar]
3. Alotaibi, M.B., Azmy, R. and Nasr-El-Din, H.A.
   , 2010. Wettability challenges in carbonate reservoirs, SPE Improved Oil Recovery Symposium. Society of Petroleum Engineers.
   [Google Scholar]
4. Chandrasekhar, S.
   , 2013. Wettability alteration with brine composition in high temperature carbonate reservoirs.
   [Google Scholar]
5. Chandrasekhar, S., Sharma, H. and Mohanty, K.K.
   , 2016. Wettability alteration with brine composition in high temperature carbonate rocks, SPE Annual Technical Conference and Exhibition. Society of Petroleum Engineers.
   [Google Scholar]
6. Derkani, M.H. et al.
   , 2018. Low salinity waterflooding in carbonate reservoirs: review of interfacial mechanisms. Colloids and Interfaces, 2(2): 20.
   [Google Scholar]
7. Esene, C., Zendehboudi, S., Shiri, H. and Aborig, A.
   , 2020. Deterministic tools to predict recovery performance of carbonated water injection. Journal of Molecular Liquids, 301: 111911.
   [Google Scholar]
8. Hamouda, A.A. and Gupta, S.
   , 2017. Enhancing oil recovery from chalk reservoirs by a low-salinity water flooding mechanism and fluid/rock interactions. Energies, 10(4): 576.
   [Google Scholar]
9. Hamouda, A.A. and Maevskiy, E.
   , 2014. Oil recovery mechanism (s) by low salinity brines and their interaction with chalk. Energy & fuels, 28(11): 6860–6868.
   [Google Scholar]
10. Hao, J., Mohammadkhani, S., Shahverdi, H., Esfahany, M.N. and Shapiro, A.
    , 2019. Mechanisms of smart waterflooding in carbonate oil reservoirs-A review. Journal of Petroleum Science and Engineering, 179: 276–291.
    [Google Scholar]
11. Katende, A. and Sagala, F.
    , 2019. A critical review of low salinity water flooding: mechanism, laboratory and field application. Journal of Molecular Liquids, 278: 627–649.
    [Google Scholar]
12. Kondori, J., Miah, M.I., Zendehboudi, S., Khan, F. and Heagle, D.
    , 2020. Hybrid connectionist models to assess recovery performance of low salinity water injection. Journal of Petroleum Science and Engineering: 107833.
    [Google Scholar]
13. Li, H., Yu, H., Cao, N., Tian, H. and Cheng, S.
    , 2020. Applications of Artificial Intelligence in Oil and Gas Development. Archives of Computational Methods in Engineering: 1–13.
    [Google Scholar]
14. Liu, F. and Wang, M.
    , 2020. Review of low salinity waterflooding mechanisms: Wettability alteration and its impact on oil recovery. Fuel, 267: 117112.
    [Google Scholar]
15. Maghsoudian, A., Esfandiarian, A., Izadpanahi, A., Hasanzadeh, M. and Famoori, F.
    , 2020a. Applying the Synergistic Effect of Chemically Low Salinity Water Flooding Assisted Fines Migration in Coated Micromodel, 82nd EAGE Annual Conference & Exhibition. European Association of Geoscientists & Engineers, pp. 1–5.
    [Google Scholar]
16. Maghsoudian, A., Esfandiarian, A., Kord, S., Tamsilian, Y. and Soulgani, B.S.
    , 2020b. Direct insights into the micro and macro scale mechanisms of symbiotic effect of SO42−, Mg2+, and Ca2+ ions concentration for smart waterflooding in the carbonated coated micromodel system. Journal of Molecular Liquids: 113700.
    [Google Scholar]
17. Mohammadkhani, S., Shahverdi, H. and Esfahany, M.N.
    , 2018. Impact of salinity and connate water on low salinity water injection in secondary and tertiary stages for enhanced oil recovery in carbonate oil reservoirs. Journal of Geophysics and Engineering, 15(4): 1242–1254.
    [Google Scholar]
18. Mohsenzadeh, A., Pourafshary, P. and Al-Wahaibi, Y.
    , 2016. Oil recovery enhancement in carbonate reservoirs via low saline water flooding in presence of low concentration active ions; A case study, SPE EOR Conference at Oil and Gas West Asia. Society of Petroleum Engineers.
    [Google Scholar]
19. Nasralla, R.A. et al.
    , 2018. Low salinity waterflooding for a carbonate reservoir: Experimental evaluation and numerical interpretation. Journal of Petroleum Science and Engineering, 164: 640–654.
    [Google Scholar]
20. Nasralla, R.A. et al.
    , 2014. Demonstrating the potential of low-salinity waterflood to improve oil recovery in carbonate reservoirs by qualitative coreflood, Abu Dhabi International Petroleum Exhibition and Conference. Society of Petroleum Engineers.
    [Google Scholar]
21. Sari, A., Xie, Q., Chen, Y., Saeedi, A. and Pooryousefy, E.
    , 2017. Drivers of low salinity effect in carbonate reservoirs. Energy & Fuels, 31(9): 8951–8958.
    [Google Scholar]
22. Searson, D.P.
    , 2015. GPTIPS 2: an open-source software platform for symbolic data mining, Handbook of genetic programming applications. Springer, pp. 551–573.
    [Google Scholar]
23. Winoto, W., Loahardjo, N., Xie, S.X., Yin, P. and Morrow, N.R.
    , 2012. Secondary and tertiary recovery of crude oil from outcrop and reservoir rocks by low salinity waterflooding, SPE Improved Oil Recovery Symposium. Society of Petroleum Engineers.
    [Google Scholar]