Pseudo-adsorption isotherm matching for oil field scale squeeze treatments using a Simple Genetic Algorithm

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

    Abstract

    The most common method for preventing downhole scale formation in oil fields is by injecting a scale inhibitor (SI) “squeeze” treatment. For modelling purposes, the interaction of the SI with the rock is often described by a retention function or adsorption isotherm. Generally, field SI return profiles are not matched exactly in the models simply by using an isotherm derived from corefloods. The process of matching the SI return profiles is currently performed manually, by trial and error, which can be very labour intensive. Once a match has been achieved, subsequent treatments can generally be predicted and optimized with a high degree of accuracy.

    The main aim of this paper is to implement a Simple Genetic Algorithm (SGA) to automate the adsorption isotherm matching process and turn it into a history matching exercise. In addition, we assess the performance of the SGA on synthetic and field cases. The results from the synthetic cases demonstrated the existence of more than one possible isotherm match (i.e. local minima exist in the misfit between observations and predictions). Moreover, a sensitivity study showed that they might be equivalent, in the sense that both isotherms show similar predictions in different squeeze treatment scenarios (where SI concentrations, flow rates and volume stages were changed). The SGA was tested against two real field cases (smooth and scattered) showing satisfactory results. The match for the smooth profile was very good, while for the scattered case, it seemed to follow the trend of the observed data.
    Original languageEnglish
    Title of host publication22nd International Oil Field Chemistry Symposium
    Place of PublicationLondon
    PublisherEnergy Institute
    ISBN (Electronic)9780852936078
    Publication statusPublished - 2011
    Event22nd International Oil Field Chemistry Symposium - Geilo, Norway
    Duration: 27 Mar 201130 Mar 2011

    Conference

    Conference22nd International Oil Field Chemistry Symposium
    CountryNorway
    CityGeilo
    Period27/03/1130/03/11

    Fingerprint

    genetic algorithm
    oil field
    inhibitor
    isotherm
    adsorption
    prediction
    labor
    history
    rock
    modeling

    Cite this

    Vazquez, O., Skrepnyuk, K., & Stephen, K. D. (2011). Pseudo-adsorption isotherm matching for oil field scale squeeze treatments using a Simple Genetic Algorithm. In 22nd International Oil Field Chemistry Symposium London: Energy Institute.
    Vazquez, Oscar ; Skrepnyuk, Kiril ; Stephen, Karl Dunbar. / Pseudo-adsorption isotherm matching for oil field scale squeeze treatments using a Simple Genetic Algorithm. 22nd International Oil Field Chemistry Symposium. London : Energy Institute, 2011.
    @inproceedings{82183b727a144ccda122f915792c3e3a,
    title = "Pseudo-adsorption isotherm matching for oil field scale squeeze treatments using a Simple Genetic Algorithm",
    abstract = "The most common method for preventing downhole scale formation in oil fields is by injecting a scale inhibitor (SI) “squeeze” treatment. For modelling purposes, the interaction of the SI with the rock is often described by a retention function or adsorption isotherm. Generally, field SI return profiles are not matched exactly in the models simply by using an isotherm derived from corefloods. The process of matching the SI return profiles is currently performed manually, by trial and error, which can be very labour intensive. Once a match has been achieved, subsequent treatments can generally be predicted and optimized with a high degree of accuracy.The main aim of this paper is to implement a Simple Genetic Algorithm (SGA) to automate the adsorption isotherm matching process and turn it into a history matching exercise. In addition, we assess the performance of the SGA on synthetic and field cases. The results from the synthetic cases demonstrated the existence of more than one possible isotherm match (i.e. local minima exist in the misfit between observations and predictions). Moreover, a sensitivity study showed that they might be equivalent, in the sense that both isotherms show similar predictions in different squeeze treatment scenarios (where SI concentrations, flow rates and volume stages were changed). The SGA was tested against two real field cases (smooth and scattered) showing satisfactory results. The match for the smooth profile was very good, while for the scattered case, it seemed to follow the trend of the observed data.",
    author = "Oscar Vazquez and Kiril Skrepnyuk and Stephen, {Karl Dunbar}",
    year = "2011",
    language = "English",
    booktitle = "22nd International Oil Field Chemistry Symposium",
    publisher = "Energy Institute",
    address = "United Kingdom",

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    Vazquez, O, Skrepnyuk, K & Stephen, KD 2011, Pseudo-adsorption isotherm matching for oil field scale squeeze treatments using a Simple Genetic Algorithm. in 22nd International Oil Field Chemistry Symposium. Energy Institute, London, 22nd International Oil Field Chemistry Symposium, Geilo, Norway, 27/03/11.

    Pseudo-adsorption isotherm matching for oil field scale squeeze treatments using a Simple Genetic Algorithm. / Vazquez, Oscar; Skrepnyuk, Kiril; Stephen, Karl Dunbar.

    22nd International Oil Field Chemistry Symposium. London : Energy Institute, 2011.

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

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    T1 - Pseudo-adsorption isotherm matching for oil field scale squeeze treatments using a Simple Genetic Algorithm

    AU - Vazquez, Oscar

    AU - Skrepnyuk, Kiril

    AU - Stephen, Karl Dunbar

    PY - 2011

    Y1 - 2011

    N2 - The most common method for preventing downhole scale formation in oil fields is by injecting a scale inhibitor (SI) “squeeze” treatment. For modelling purposes, the interaction of the SI with the rock is often described by a retention function or adsorption isotherm. Generally, field SI return profiles are not matched exactly in the models simply by using an isotherm derived from corefloods. The process of matching the SI return profiles is currently performed manually, by trial and error, which can be very labour intensive. Once a match has been achieved, subsequent treatments can generally be predicted and optimized with a high degree of accuracy.The main aim of this paper is to implement a Simple Genetic Algorithm (SGA) to automate the adsorption isotherm matching process and turn it into a history matching exercise. In addition, we assess the performance of the SGA on synthetic and field cases. The results from the synthetic cases demonstrated the existence of more than one possible isotherm match (i.e. local minima exist in the misfit between observations and predictions). Moreover, a sensitivity study showed that they might be equivalent, in the sense that both isotherms show similar predictions in different squeeze treatment scenarios (where SI concentrations, flow rates and volume stages were changed). The SGA was tested against two real field cases (smooth and scattered) showing satisfactory results. The match for the smooth profile was very good, while for the scattered case, it seemed to follow the trend of the observed data.

    AB - The most common method for preventing downhole scale formation in oil fields is by injecting a scale inhibitor (SI) “squeeze” treatment. For modelling purposes, the interaction of the SI with the rock is often described by a retention function or adsorption isotherm. Generally, field SI return profiles are not matched exactly in the models simply by using an isotherm derived from corefloods. The process of matching the SI return profiles is currently performed manually, by trial and error, which can be very labour intensive. Once a match has been achieved, subsequent treatments can generally be predicted and optimized with a high degree of accuracy.The main aim of this paper is to implement a Simple Genetic Algorithm (SGA) to automate the adsorption isotherm matching process and turn it into a history matching exercise. In addition, we assess the performance of the SGA on synthetic and field cases. The results from the synthetic cases demonstrated the existence of more than one possible isotherm match (i.e. local minima exist in the misfit between observations and predictions). Moreover, a sensitivity study showed that they might be equivalent, in the sense that both isotherms show similar predictions in different squeeze treatment scenarios (where SI concentrations, flow rates and volume stages were changed). The SGA was tested against two real field cases (smooth and scattered) showing satisfactory results. The match for the smooth profile was very good, while for the scattered case, it seemed to follow the trend of the observed data.

    M3 - Conference contribution

    BT - 22nd International Oil Field Chemistry Symposium

    PB - Energy Institute

    CY - London

    ER -

    Vazquez O, Skrepnyuk K, Stephen KD. Pseudo-adsorption isotherm matching for oil field scale squeeze treatments using a Simple Genetic Algorithm. In 22nd International Oil Field Chemistry Symposium. London: Energy Institute. 2011