Pore-network prediction of residual oil saturation based on oil layer drainage in mixed-wet systems

    Research output: Chapter in Book/Report/Conference proceedingConference contribution

    Abstract

    Since EOR methods mobilize oil trapped by capillary and viscosity forces during waterflooding, prediction of residual oil saturation (Sor) after waterflooding is very important before carrying out any EOR process. The mechanism through which a particular EOR method, such as gas displacement, actually works to reduce residual oil depends in turn on how that oil is trapped at the pore scale. In this respect, pore-scale network modelling can be used to estimate both the nature of the trapped residual oil and the relevant flow parameters in its subsequent mobilization, if the correct physics of oil drainage are properly included. During water flooding of mixed-wet systems, oil may drain down to relatively low residual saturations. A number of studies have indicated that such low saturations can only be reached when oil layers in pore corners are included in the pore-scale modelling, van Dijke and Sorbie (2006) obtained accurate thermodynamically derived criteria for oil layers existence in pores with non-uniform wettability caused by ageing, which is more restrictive than the previously used geometrical layer existence criteria. Recently, Ryazanov at el. (2009) have included these thermodynamic criteria in a two-phase pore network model, which takes as input geometrically and topologically representative networks, to calculate realistic Sor values for mixed-wet and oil-wet sandstones. In this work, the network model has been validated through modelling of experimental data for water-wet and mixed-wet systems. A very good match has been obtained between experimental and simulated relative permeabilities for strongly water-wet Berea sandstone and oil-wet sandstone. Comparison with a range of mixed-wet core waterflooding experiments (Jadhunandan and Morrow 1995) showed good agreement with experimental residual oil and oil recovery efficiency. This paper introduces the correct thermodynamically based physics of how residual oil is trapped in systems of arbitrary wettability. It is extremely important to understand this process, since the residual oil is the "target oil" for most EOR processes. Copyright 2010, Society of Petroleum Engineers.

    Original languageEnglish
    Title of host publication17th SPE Improved Oil Recovery Symposium 2010, IOR 2010
    Pages1217-1232
    Number of pages16
    Volume2
    Publication statusPublished - 2010
    Event17th SPE Improved Oil Recovery Symposium 2010 - Tulsa, United States
    Duration: 24 Apr 201028 Apr 2010

    Conference

    Conference17th SPE Improved Oil Recovery Symposium 2010
    Abbreviated titleIOR 2010
    CountryUnited States
    CityTulsa
    Period24/04/1028/04/10

    Fingerprint

    Drainage
    Well flooding
    Sandstone
    Oils
    Wetting
    Physics
    Water
    Aging of materials

    Cite this

    Ryazanov, A. V., Van Dijke, M. I. J., & Sorbie, K. S. (2010). Pore-network prediction of residual oil saturation based on oil layer drainage in mixed-wet systems. In 17th SPE Improved Oil Recovery Symposium 2010, IOR 2010 (Vol. 2, pp. 1217-1232)
    Ryazanov, A. V. ; Van Dijke, M. I J ; Sorbie, K. S. / Pore-network prediction of residual oil saturation based on oil layer drainage in mixed-wet systems. 17th SPE Improved Oil Recovery Symposium 2010, IOR 2010. Vol. 2 2010. pp. 1217-1232
    @inproceedings{cc7e2306e0714ef0a1c25b56598087fc,
    title = "Pore-network prediction of residual oil saturation based on oil layer drainage in mixed-wet systems",
    abstract = "Since EOR methods mobilize oil trapped by capillary and viscosity forces during waterflooding, prediction of residual oil saturation (Sor) after waterflooding is very important before carrying out any EOR process. The mechanism through which a particular EOR method, such as gas displacement, actually works to reduce residual oil depends in turn on how that oil is trapped at the pore scale. In this respect, pore-scale network modelling can be used to estimate both the nature of the trapped residual oil and the relevant flow parameters in its subsequent mobilization, if the correct physics of oil drainage are properly included. During water flooding of mixed-wet systems, oil may drain down to relatively low residual saturations. A number of studies have indicated that such low saturations can only be reached when oil layers in pore corners are included in the pore-scale modelling, van Dijke and Sorbie (2006) obtained accurate thermodynamically derived criteria for oil layers existence in pores with non-uniform wettability caused by ageing, which is more restrictive than the previously used geometrical layer existence criteria. Recently, Ryazanov at el. (2009) have included these thermodynamic criteria in a two-phase pore network model, which takes as input geometrically and topologically representative networks, to calculate realistic Sor values for mixed-wet and oil-wet sandstones. In this work, the network model has been validated through modelling of experimental data for water-wet and mixed-wet systems. A very good match has been obtained between experimental and simulated relative permeabilities for strongly water-wet Berea sandstone and oil-wet sandstone. Comparison with a range of mixed-wet core waterflooding experiments (Jadhunandan and Morrow 1995) showed good agreement with experimental residual oil and oil recovery efficiency. This paper introduces the correct thermodynamically based physics of how residual oil is trapped in systems of arbitrary wettability. It is extremely important to understand this process, since the residual oil is the {"}target oil{"} for most EOR processes. Copyright 2010, Society of Petroleum Engineers.",
    author = "Ryazanov, {A. V.} and {Van Dijke}, {M. I J} and Sorbie, {K. S.}",
    year = "2010",
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    Ryazanov, AV, Van Dijke, MIJ & Sorbie, KS 2010, Pore-network prediction of residual oil saturation based on oil layer drainage in mixed-wet systems. in 17th SPE Improved Oil Recovery Symposium 2010, IOR 2010. vol. 2, pp. 1217-1232, 17th SPE Improved Oil Recovery Symposium 2010, Tulsa, United States, 24/04/10.

    Pore-network prediction of residual oil saturation based on oil layer drainage in mixed-wet systems. / Ryazanov, A. V.; Van Dijke, M. I J; Sorbie, K. S.

    17th SPE Improved Oil Recovery Symposium 2010, IOR 2010. Vol. 2 2010. p. 1217-1232.

    Research output: Chapter in Book/Report/Conference proceedingConference contribution

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    N2 - Since EOR methods mobilize oil trapped by capillary and viscosity forces during waterflooding, prediction of residual oil saturation (Sor) after waterflooding is very important before carrying out any EOR process. The mechanism through which a particular EOR method, such as gas displacement, actually works to reduce residual oil depends in turn on how that oil is trapped at the pore scale. In this respect, pore-scale network modelling can be used to estimate both the nature of the trapped residual oil and the relevant flow parameters in its subsequent mobilization, if the correct physics of oil drainage are properly included. During water flooding of mixed-wet systems, oil may drain down to relatively low residual saturations. A number of studies have indicated that such low saturations can only be reached when oil layers in pore corners are included in the pore-scale modelling, van Dijke and Sorbie (2006) obtained accurate thermodynamically derived criteria for oil layers existence in pores with non-uniform wettability caused by ageing, which is more restrictive than the previously used geometrical layer existence criteria. Recently, Ryazanov at el. (2009) have included these thermodynamic criteria in a two-phase pore network model, which takes as input geometrically and topologically representative networks, to calculate realistic Sor values for mixed-wet and oil-wet sandstones. In this work, the network model has been validated through modelling of experimental data for water-wet and mixed-wet systems. A very good match has been obtained between experimental and simulated relative permeabilities for strongly water-wet Berea sandstone and oil-wet sandstone. Comparison with a range of mixed-wet core waterflooding experiments (Jadhunandan and Morrow 1995) showed good agreement with experimental residual oil and oil recovery efficiency. This paper introduces the correct thermodynamically based physics of how residual oil is trapped in systems of arbitrary wettability. It is extremely important to understand this process, since the residual oil is the "target oil" for most EOR processes. Copyright 2010, Society of Petroleum Engineers.

    AB - Since EOR methods mobilize oil trapped by capillary and viscosity forces during waterflooding, prediction of residual oil saturation (Sor) after waterflooding is very important before carrying out any EOR process. The mechanism through which a particular EOR method, such as gas displacement, actually works to reduce residual oil depends in turn on how that oil is trapped at the pore scale. In this respect, pore-scale network modelling can be used to estimate both the nature of the trapped residual oil and the relevant flow parameters in its subsequent mobilization, if the correct physics of oil drainage are properly included. During water flooding of mixed-wet systems, oil may drain down to relatively low residual saturations. A number of studies have indicated that such low saturations can only be reached when oil layers in pore corners are included in the pore-scale modelling, van Dijke and Sorbie (2006) obtained accurate thermodynamically derived criteria for oil layers existence in pores with non-uniform wettability caused by ageing, which is more restrictive than the previously used geometrical layer existence criteria. Recently, Ryazanov at el. (2009) have included these thermodynamic criteria in a two-phase pore network model, which takes as input geometrically and topologically representative networks, to calculate realistic Sor values for mixed-wet and oil-wet sandstones. In this work, the network model has been validated through modelling of experimental data for water-wet and mixed-wet systems. A very good match has been obtained between experimental and simulated relative permeabilities for strongly water-wet Berea sandstone and oil-wet sandstone. Comparison with a range of mixed-wet core waterflooding experiments (Jadhunandan and Morrow 1995) showed good agreement with experimental residual oil and oil recovery efficiency. This paper introduces the correct thermodynamically based physics of how residual oil is trapped in systems of arbitrary wettability. It is extremely important to understand this process, since the residual oil is the "target oil" for most EOR processes. Copyright 2010, Society of Petroleum Engineers.

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    SN - 9781617384158

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    Ryazanov AV, Van Dijke MIJ, Sorbie KS. Pore-network prediction of residual oil saturation based on oil layer drainage in mixed-wet systems. In 17th SPE Improved Oil Recovery Symposium 2010, IOR 2010. Vol. 2. 2010. p. 1217-1232