1887

Abstract

Summary

The production chemistry data contains a wealth of knowledge on the physicochemical interactions of the formation and injected water with the reservoir rock and the hydrocarbons. This is even more pronounced in the highly reactive chalk formations of the Danish North Sea. The interpretation of the data is, however, not trivial due to the short-circuiting of the injected fluid into the production well in the fractured reservoirs, the injection of an often unknown mixture of the formation and sea water, and the reactive flow of brine in the carbonate system that continuously alters the water composition. A reactive transport model that is coupled to the multiphase flow of fluids in a well-characterized geology is a tool that can facilitate the interpretation of the production chemistry data. Our objective is to analyze the production chemistry and water cut data by constructing a reactive transport model that takes into account all the chalk-oil-brine physicochemical interactions. To that end, we use a transport model that is coupled to a surface complexation model, with parameters that are optimized by fitting the model to the chromatographic and zeta-potential data. We also include the dissolution and precipitation rate of different minerals (calcite, magnesite, and anhydrite) in the model. Moreover, we link the chalk and oil altered surface composition in the presence of sea and formation water on the transport properties of the aqueous and oleic phases in the chalk reservoir. To validate the model, we apply it to the Halfdan field, where no short-circuiting occurs due to the near piston-like displacement of the injected seawater in several sectors of the reservoir; moreover, in the Halfdan field data, clear trends in the produced water composition and the water-cut are identified in several production wells.

Our results show that the observed trends in the field data, i.e., a jump in the water-cut followed by an increase in the concentration of certain ions in the produced water, can be explained by our reactive transport model. Considering the so-called smart water effect of the seawater observed previously in the chalk outcrops, we also suggest possible mechanisms for the –possible- improved recovery of oil due to the interactions of the seawater with the chalk-oil-formation water system.

Loading

Article metrics loading...

/content/papers/10.3997/2214-4609.201900070
2019-04-08
2024-04-19
Loading full text...

Full text loading...

References

  1. Abdulla, F., Hashem, S., Abdulraheem, B., Al-Naqi, M., Al-Qattan, A., John, H., Cunningham, ; P R P, Briggs, P.J., Thawer, R.
    , 2013. First EOR Trial using Low Salinity Water Injection in the Greater Burgan Field, Kuwait10–13. doi:10.2118/164341‑MS
    https://doi.org/10.2118/164341-MS [Google Scholar]
  2. Al-qattan, A., Sanaseeri, A., Al-saleh, Z., Singh, B.B., Al-Kaaoud, H., Delshad, M., Hernandez, R., Winoto, W., Badham, S., Bouma, C.
    , others, 2018. Low Salinity Waterflood and Low Salinity Polymer Injection in the Wara Reservoir of the Greater Burgan Field. SPE EOR Conference at Oil and Gas West Asia. doi:10.2118/190481‑MS
    https://doi.org/10.2118/190481-MS [Google Scholar]
  3. Al-Shalabi, E.W., Sepehrnoori, K.
    , 2016. A comprehensive review of low salinity/engineered water injections and their applications in sandstone and carbonate rocks. Journal of Petroleum Science and Engineering139, 137–161. doi:10.1016/j.petrol.2015.11.027
    https://doi.org/10.1016/j.petrol.2015.11.027 [Google Scholar]
  4. Al-Shalabi, E.W., Sepehrnoori, K., Delshad, M.
    , 2013. Does the double layer expansion mechanism contribute to the LSWI effect on hydrocarbon recovery from carbonate rocks?SPE Reservoir Characterisation and Simulation Conference and Exhibition: New Approaches in Characterisation and Modelling of Complex Reservoirs, RCSC 2013 1, 319–335. doi:10.2118/165974‑MS
    https://doi.org/10.2118/165974-MS [Google Scholar]
  5. Al-shalabi, E.W., Sepehrnoori, K., Pope, G.
    , 2015. Mechanistic Modeling of Oil Recovery Due to Low Salinity Water Injection in Oil Reservoirs. Society of Petroleum Engineers.
    [Google Scholar]
  6. , 2014. Geochemical Interpretation of Low Salinity Water Injection in Carbonate Oil Reservoirs. SPE Improved Oil Recovery Symposium. doi:10.2118/169101‑MS
    https://doi.org/10.2118/169101-MS [Google Scholar]
  7. Albrechtsen, T., Andersen, S.
    , … T.D.-S.A.T., 2001, U., 2001. Halfdan: Developing non-structurally trapped oil in North Sea Chalk, in: SPE Annual Technical Conference and Exhibition.
    [Google Scholar]
  8. Andersen, P., Evje, S., Madland, M. V., Hiorth, A.
    , 2012. A geochemical model for interpretation of chalk core flooding experiments. Chemical Engineering Science84, 218–241. doi:10.1016/j.ces.2012.08.038
    https://doi.org/10.1016/j.ces.2012.08.038 [Google Scholar]
  9. Austad, T., Shariatpanahi, S.F., Strand, S., Black, C.J.J., Webb, K.J.
    , 2012. Conditions for a low-salinity Enhanced Oil Recovery (EOR) effect in carbonate oil reservoirs. Energy and Fuels26, 569–575. doi:10.1021/ef201435g
    https://doi.org/10.1021/ef201435g [Google Scholar]
  10. Austad, T., Strand, S., Madland, M., Puntervold, T., Korsnes, R.
    , 2008. Seawater in Chalk: An EOR and Compaction Fluid. SPE Reservoir Evaluation & Engineering11, 648–654. doi:10.2118/118431‑PA
    https://doi.org/10.2118/118431-PA [Google Scholar]
  11. Awolayo, A., Sarma, H., Nghiem, L.
    , 2018. Brine-Dependent Recovery Processes in Carbonate and Sandstone Petroleum Reservoirs: Review of Laboratory-Field Studies, Interfacial Mechanisms and Modeling Attempts. Energies11, 3020. doi:10.1002/9781118359259.ch40
    https://doi.org/10.1002/9781118359259.ch40 [Google Scholar]
  12. Awolayo, A.N., Sarma, H.K., Nghiem, L.X.
    , 2018. Modeling the characteristic thermodynamic interplay between potential determining ions during brine-dependent recovery process in carbonate rocks. Fuel224, 701–717. doi:10.1016/j.fuel.2018.03.070
    https://doi.org/10.1016/j.fuel.2018.03.070 [Google Scholar]
  13. Bezanson, J., Edelman, A., Karpinski, S., Shah, V.B.
    , 2014. Julia: A Fresh Approach to Numerical Computing59, 65–98. doi:10.1137/141000671
    https://doi.org/10.1137/141000671 [Google Scholar]
  14. Bonto, M., Eftekhari, A.A., Nick, H.M.
    , 2019. A Calibrated Model for the Carbonate-Brine-Crude Oil Surface Chemistry and its Effect on The Rock Wettability, Dissolution, and Mechanical Properties, in: SPE Reservoir Simulation Conference, Galveston.
    [Google Scholar]
  15. Brady, P.V., Krumhansl, J.L., Mariner, P.E.
    , 2012. Surface Complexation Modeling for Improved Oil Recovery, in: SPE Improved Oil Recovery Symposium. Society of Petroleum Engineers, Tulsa, Oklahoma, USA. doi:10.2118/153744‑MS
    https://doi.org/10.2118/153744-MS [Google Scholar]
  16. Callegaro, C., Bartosek, M., Nobili, M., Masserano, F., Pollero, M., Baz, D.M.M., Kortam, M.M.
    , 2015. Design and implementation of low salinity waterflood in a North African Brown Field. Society of Petroleum Engineers - Abu Dhabi International Petroleum Exhibition and Conference, ADIPEC 2015. doi:10.2118/177590‑MS
    https://doi.org/10.2118/177590-MS [Google Scholar]
  17. Callegaro, C., Masserano, F., Bartosek, M., Buscaglia, R., Visintin, R., Hartvig, S.K., Huseby, O.K.
    , 2014. Single Well Chemical Tracer Tests to Assess Low Salinity Water and Surfactant EOR Processes in West Africa. International Petroleum Technology Conference, IPTC-17951-MS.
    [Google Scholar]
  18. Calvert, M., Roende, H., Herbert, I., Za, J., Break, P.H.
    , 2014, U., 2014. The impact of a quick 4D seismic survey and processing over the Halfdan Field, Danish North Sea. First Break32, 43–50.
    [Google Scholar]
  19. Chandrasekhar, S., Mohanty, K.K.
    , 2013. Wettability Alteration with Brine Composition in High Temperature Carbonate Reservoirs. SPE Annual Technical Conference and Exhibition 17. doi:10.2118/166280‑MS
    https://doi.org/10.2118/166280-MS [Google Scholar]
  20. Danish Energy Agency
    , 2018. Resource Assesment and Production forcast 1–9. doi:https://ens.dk/sites/ens.dk/files/OlieGas/ressourcer_og_prognoser_20180829_rev_en.pdf
    [Google Scholar]
  21. Eftekhari, A.A.
    , 2019. simulkade/JPhreeqc.jl: JPhreeqc 3.4 based on PhreeqcRM 3.4. doi:10.5281/ZENODO.2572538
    https://doi.org/10.5281/ZENODO.2572538 [Google Scholar]
  22. , 2017. JFVM.jl: A Finite Volume Tool for Solving Advection-Diffusion Equations. doi:10.5281/ZENODO.847056
    https://doi.org/10.5281/ZENODO.847056 [Google Scholar]
  23. Eftekhari, A.A., Thomsen, K., Stenby, E.H., Nick, H.M.
    , 2017. Thermodynamic Analysis of Chalk-Brine-Oil Interactions. Energy and Fuels31, 11773–11782. doi:10.1021/acs.energyfuels.7b02019
    https://doi.org/10.1021/acs.energyfuels.7b02019 [Google Scholar]
  24. Evje, S., Hiorth, A., Madland, M., Korsnes, R.
    , 2009. A mathematical model relevant for weakening of chalk reservoirs due to chemical reactions. Networks and Heterogeneous Media4, 755–788. doi:10.3934/nhm.2009.4.755
    https://doi.org/10.3934/nhm.2009.4.755 [Google Scholar]
  25. Fathi, S.J., Austad, T., Strand, S.
    , 2010. “smart water” as a wettability modifier in chalk: The effect of salinity and ionic composition. Energy and Fuels24, 2514–2519. doi:10.1021/ef901304m
    https://doi.org/10.1021/ef901304m [Google Scholar]
  26. Fernø, M.A., Grønsdal, R., Åsheim, J., Nyheim, A., Berge, M., Graue, A.
    , 2011. Use of sulfate for water based enhanced oil recovery during spontaneous imbibition in chalk. Energy and Fuels25, 1697–1706. doi:10.1021/ef200136w
    https://doi.org/10.1021/ef200136w [Google Scholar]
  27. Gomari, K.A.R., Hamouda, A.A., Denoyel, R.
    , 2006. Influence of sulfate ions on the interaction between fatty acids and calcite surface. Colloids and Surfaces A: Physicochemical and Engineering Aspects287, 29–35. doi:10.1016/j.colsurfa.2006.03.018
    https://doi.org/10.1016/j.colsurfa.2006.03.018 [Google Scholar]
  28. Hallenbeck, L.D., Sylte, J.E., Ebbs, D.J., Thomas, L.K.
    , 1991. Implementation of the Ekofisk Field Waterflood. SPE Formation Evaluation6, 284–290. doi:10.7860/JCDR/2017/24192.9615
    https://doi.org/10.7860/JCDR/2017/24192.9615 [Google Scholar]
  29. Hamon, G.
    , 2015. Low Salinity Water Flooding: Facts, Inconsistencies and Way Forward. International Symposium of the Society of Core Analysts1–12.
    [Google Scholar]
  30. Heberling, F., Trainor, T.P., Lützenkirchen, J., Eng, P., Denecke, M.A., Bosbach, D.
    , 2011. Structure and reactivity of the calcite-water interface. Journal of Colloid and Interface Science354, 843–857. doi:10.1016/j.jcis.2010.10.047
    https://doi.org/10.1016/j.jcis.2010.10.047 [Google Scholar]
  31. Hermansen, H., Landa, G.H., Sylte, J.E., Thomas, L.K.
    , 2000. Experiences after 10 years of waterflooding the Ekofisk Field, Norway. Journal of Petroleum Science and Engineering26, 11–18. doi:10.1016/S0920‑4105(00)00016‑4
    https://doi.org/10.1016/S0920-4105(00)00016-4 [Google Scholar]
  32. Hiorth, A., Cathles, L.M., Madland, M. V.
    , 2010. The Impact of Pore Water Chemistry on Carbonate Surface Charge and Oil Wettability. Transport in Porous Media85, 1–21. doi:10.1007/s11242‑010‑9543‑6
    https://doi.org/10.1007/s11242-010-9543-6 [Google Scholar]
  33. Hiorth, A., Evje, S.
    , 2010. A mathematical model for dynamic wettability alteration controlled by water-rock chemistry. Networks and Heterogeneous Media5, 217–256. doi:10.3934/nhm.2010.5.217
    https://doi.org/10.3934/nhm.2010.5.217 [Google Scholar]
  34. Kilybay, A., Ghosh, B., Chacko Thomas, N.
    , 2017. A Review on the Progress of Ion-Engineered Water Flooding. Journal of Petroleum Engineering2017, 1–9. doi:10.1155/2017/7171957
    https://doi.org/10.1155/2017/7171957 [Google Scholar]
  35. Korrani, A.K.N., Fu, W., Sanaei, A., Sepehrnoori, K.
    , 2015. Mechanistic Modeling of Modified Salinity Waterflooding in Carbonate Reservoirs. SPE Annual Technical Conference and Exhibition 21. doi:10.2118/175102‑MS
    https://doi.org/10.2118/175102-MS [Google Scholar]
  36. Lager, A., Webb, K.J., Collins, I.R., Richmond, D.M.
    , 2008. LoSal Enhanced Oil Recovery: Evidence of Enhanced Oil Recovery at the Reservoir Scale. SPE Symposium on Improved Oil Recovery. doi:10.2118/113976‑MS
    https://doi.org/10.2118/113976-MS [Google Scholar]
  37. Ligthelm, D.J., Gronsveld, J., Hofman, J.P., Brussee, N.J., Marcelis, F., Linde, H. a Van Der
    , 2009. Novel Waterflooding Strategy by Manipulation of Injection Brine Composition. Spe 119835 1–22. doi:10.2118/119835‑MS
    https://doi.org/10.2118/119835-MS [Google Scholar]
  38. Liu, X., Yan, W., Stenby, E.H., Thormann, E.
    , 2016. Release of Crude Oil from Silica and Calcium Carbonate Surfaces: On the Alternation of Surface and Molecular Forces by High- and Low-Salinity Aqueous Salt Solutions. Energy and Fuels30, 3986–3993. doi:10.1021/acs.energyfuels.6b00569
    https://doi.org/10.1021/acs.energyfuels.6b00569 [Google Scholar]
  39. Madland, M. V., Hiorth, A., Omdal, E., Megawati, M., Hildebrand-Habel, T., Korsnes, R.I., Evje, S., Cathles, L.M.
    , 2011. Chemical Alterations Induced by Rock-Fluid Interactions When Injecting Brines in High Porosity Chalks. Transport in Porous Media87, 679–702. doi:10.1007/s11242‑010‑9708‑3
    https://doi.org/10.1007/s11242-010-9708-3 [Google Scholar]
  40. Mahani, H., Keya, A.L., Berg, S., Nasralla, R.
    , 2017. Electrokinetics of Carbonate/Brine Interface in Low-Salinity Waterflooding: Effect of Brine Salinity, Composition, Rock Type, and pH on zeta-potential and a Surface-Complexation Model. SPE Journal22, 053–068. doi:10.2118/181745‑PA
    https://doi.org/10.2118/181745-PA [Google Scholar]
  41. , 2015. The Effect of Salinity, Rock Type and pH on the Electrokinetics of Carbonate-Brine Interface and Surface Complexation Modeling. SPE Reservoir Characterisation and Simulation Conference and Exhibition in Abu Dhabi, UAE,14–16 September 2015 25. doi:10.2118/175568‑MS
    https://doi.org/10.2118/175568-MS [Google Scholar]
  42. Megawati, M., Hiorth, A., Madland, M. V.
    , 2013. The impact of surface charge on the mechanical behavior of high-porosity chalk. Rock mechanics and rock engineering46, 1073–1090.
    [Google Scholar]
  43. Parkhurst, D., Wissmeier, L.
    , 2015. PhreeqcRM: A reaction module for transport simulators based on the geochemical model PHREEQC. Advances in Water Resources.
    [Google Scholar]
  44. Pierre, A., Lamarche, J.M., Mercier, R., Foissy, A., Persello, J.
    , 1990. Calcium as Potential Determining Ion in Aqueous Calcite Suspensions. Journal of Dispersion Science and Technology11, 611–635. doi:10.1080/01932699008943286
    https://doi.org/10.1080/01932699008943286 [Google Scholar]
  45. Pope, G.A.
    , 1980. The Application of Fractional Flow Theory to Enhanced Oil Recovery I _.
    [Google Scholar]
  46. Puntervold, T., Strand, S., Ellouz, R., Austad, T.
    , 2015. Modified seawater as a smart EOR fluid in chalk. Journal of Petroleum Science and Engineering133, 440–443. doi:10.1016/j.petrol.2015.06.034
    https://doi.org/10.1016/j.petrol.2015.06.034 [Google Scholar]
  47. Qiao, C., Li, L., Johns, R.T., Xu, J.
    , 2015. A Mechanistic Model for Wettability Alteration by Chemically Tuned Waterflooding in Carbonate Reservoirs. SPE Journal20, 767–783. doi:10.2118/170966‑PA
    https://doi.org/10.2118/170966-PA [Google Scholar]
  48. Samuelsen, E.H., Frederiksen, R.A., Heath, S.M., Thornton, A., Arefjord, A., McAra, E.K.
    , 2015. Downhole Scale Control Through Continuous Injection of Scale Inhibitor in the Downhole Scale Control Through Continuous Injection of Scale Inhibitor in the Water Injection–A Field Case.
    [Google Scholar]
  49. Sánchez, V.M., Miranda, C.R.
    , 2014. Modeling acid oil component interactions with carbonate reservoirs: A first-principles view on low salinity recovery mechanisms. Journal of Physical Chemistry C118, 19180–19187. doi:10.1021/jp505259t
    https://doi.org/10.1021/jp505259t [Google Scholar]
  50. Seccombe, J., Lager, A., Jerauld, G., Jhaveri, B., Buikema, T., Bassler, S., Denis, J., Webb, K., Cockin, A., Fueg, E.
    , 2010. Demonstration of Low-Salinity EOR at Interwell Scale, Endicott Field, Alaska. SPE Improved Oil Recovery Symposium 2008. doi:10.2118/129692‑MS
    https://doi.org/10.2118/129692-MS [Google Scholar]
  51. Seyyedi, M., Tagliaferri, S., Abatzis, J., Nielsen, S.M.
    , 2018. An integrated experimental approach to quantify the oil recovery potential of seawater and low-salinity seawater injection in North Sea chalk oil reservoirs. Fuel232, 267–278. doi:10.1016/J.FUEL.2018.05.158
    https://doi.org/10.1016/J.FUEL.2018.05.158 [Google Scholar]
  52. Skrettingland, K., Holt, T., Tweheyo, M.T., Skjevrak, I.
    , 2011. Snorre Low-Salinity-Water Injection--Coreflooding Experiments and Single-Well Field Pilot. SPE Reservoir Evaluation & Engineering14, 182–192. doi:10.2118/129877‑PA
    https://doi.org/10.2118/129877-PA [Google Scholar]
  53. Sohal, M.A., Thyne, G., Søgaard, E.G.
    , 2016. Review of Recovery Mechanisms of Ionically Modified Waterflood in Carbonate Reservoirs. Energy and Fuels30, 1904–1914. doi:10.1021/acs.energyfuels.5b02749
    https://doi.org/10.1021/acs.energyfuels.5b02749 [Google Scholar]
  54. Strand, S., Standnes, D.C., Austad, T.
    , 2003. Spontaneous imbibition of aqueous surfactant solutions into neutral to oil-wet carbonate cores: Effects of brine salinity and composition. Energy and Fuels17, 1133–1144. doi:10.1021/ef030051s
    https://doi.org/10.1021/ef030051s [Google Scholar]
  55. Sulak, R.M.
    , 1991. Ekofisk Field: The First 20 Years. Journal of Petroleum Technology43, 1265–1271. doi:10.1007/BF01700323
    https://doi.org/10.1007/BF01700323 [Google Scholar]
  56. Taheriotaghsara, M., Bonto, M., Eftekhari, A.A., Nick, H.M.
    , 2019. Towards Identifying the Mechanisms of the Modified-Salinity Waterflooding by a Novel Combination of Core flooding and Mathematical Modeling. Society of Petroleum Engineers - Middle East oil & gas show and conference.
    [Google Scholar]
  57. Thompson, D.W., Pownall, P.G.
    , 1989. Surface electrical properties of calcite. Journal of Colloid And Interface Science131, 74–82. doi:10.1016/0021‑9797(89)90147‑1
    https://doi.org/10.1016/0021-9797(89)90147-1 [Google Scholar]
  58. Undall-Behrend, G.
    , 2012. Produceret vand på Tyra Øst F. Bachelorprojekt Århus Maskinmesterskole, 75 pp.
    [Google Scholar]
  59. Vledder, P., Gonzalez, I., Carrera Fonseca, J., Wells, T., Ligthelm, D.
    , 2010. Low Salinity Water Flooding: Proof Of Wettability Alteration On A Field Wide Scale. Proceedings of SPE Improved Oil Recovery Symposium 1–10. doi:10.2118/129564‑MS
    https://doi.org/10.2118/129564-MS [Google Scholar]
  60. Webb, K.J., Black, C.J.J., Tjetland, G., Exploration, B.P.
    , 2005. A Laboratory Study Investigating Methods for Improving Oil Recovery in Carbonates 70 Cross-Section of GASM Apparatus. International Petroleum Technology Conference 1–7. doi:10.2523/IPTC‑10506‑MS
    https://doi.org/10.2523/IPTC-10506-MS [Google Scholar]
  61. Yousef, A.A., Al-Saleh, S., Al-Jawfi, M.
    , 2011. New recovery method for carbonate reservoirs through tuning the injection water salinity: Smart WaterFlooding. 73rd European Association of Geoscientists and Engineers Conference and Exhibition 2011: Unconventional Resources and the Role of Technology. Incorporating SPE EUROPEC 2011 4, 2814–2830. doi:10.2118/143550‑MS
    https://doi.org/10.2118/143550-MS [Google Scholar]
  62. Yousef, A.A., Al-Saleh, S., Al-Kaabi, A.U., Al-Jawfi, M.S.
    , 2010. Laboratory Investigation of Novel Oil Recovery Method for Carbonate Reservoirs. Canadian Unconventional Resources & International Petroleum Conference 1–35. doi:10.2118/137634‑MS
    https://doi.org/10.2118/137634-MS [Google Scholar]
  63. Yousef, A.A., Al-Saleh, S.H., Al-Kaabi, A., Al-Jawfi, M.S.
    , 2011. Laboratory Investigation of the Impact of Injection-Water Salinity and Ionic Content on Oil Recovery From Carbonate Reservoirs. SPE Reservoir Evaluation & Engineering14, 578–593. doi:10.2118/137634‑PA
    https://doi.org/10.2118/137634-PA [Google Scholar]
  64. Yousef, A.A., Blanchard, G., Al-saleh, salah, Al-Zahrani, T., Al-Zahrani, R., Al-Tammar, H., Al-Mulhim, N.
    , 2012. SmartWater Flooding: Industry's first Field Test in Carbonate Reservoirs. Society of Petroleum Engineers.
    [Google Scholar]
  65. Yu, L., Evje, S., Kleppe, H., Kårstad, T., Fjelde, I., Skjaeveland, S.M.
    , 2009. Spontaneous imbibition of seawater into preferentially oil-wet chalk cores - Experiments and simulations. Journal of Petroleum Science and Engineering66, 171–179. doi:10.1016/j.petrol.2009.02.008
    https://doi.org/10.1016/j.petrol.2009.02.008 [Google Scholar]
  66. Yuksel, H., Meric, H.
    , 2012. Turbulence simulation in diverse conditions for FSO links. Proceedings of SPIE - The International Society for Optical Engineering 8517, 1–12. doi:10.1117/12.929592
    https://doi.org/10.1117/12.929592 [Google Scholar]
  67. Zahid, A., Bülow, S., Stenby, E.H., Solms, N. Von, Shapiro, A.
    , 2011. Advanced waterflooding in chalk reservoirs?: Understanding of underlying mechanisms. Colloids and Surfaces A: Physicochemical and Engineering Aspects389, 281–290. doi:10.1016/j.colsurfa.2011.08.009
    https://doi.org/10.1016/j.colsurfa.2011.08.009 [Google Scholar]
  68. Zhang, P., Austad, T.
    , 2006. Wettability and oil recovery from carbonates: Effects of temperature and potential determining ions. Colloids and Surfaces A: Physicochemical and Engineering Aspects279, 179–187. doi:10.1016/j.colsurfa.2006.01.009
    https://doi.org/10.1016/j.colsurfa.2006.01.009 [Google Scholar]
  69. Zhang, P., Tweheyo, M.T., Austad, T.
    , 2007. Wettability alteration and improved oil recovery by spontaneous imbibition of seawater into chalk: Impact of the potential determining ions Ca2+, Mg2+, and SO42-. Colloids and Surfaces A: Physicochemical and Engineering Aspects301, 199–208. doi:10.1016/j.colsurfa.2006.12.058
    https://doi.org/10.1016/j.colsurfa.2006.12.058 [Google Scholar]
  70. , 2006. Wettability alteration and improved oil recovery in chalk: The effect of calcium in the presence of sulfate. Energy and Fuels20, 2056–2062. doi:10.1021/ef0600816
    https://doi.org/10.1021/ef0600816 [Google Scholar]
http://instance.metastore.ingenta.com/content/papers/10.3997/2214-4609.201900070
Loading
/content/papers/10.3997/2214-4609.201900070
Loading

Data & Media loading...

This is a required field
Please enter a valid email address
Approval was a Success
Invalid data
An Error Occurred
Approval was partially successful, following selected items could not be processed due to error