Modelling of scale inhibitor squeeze treatments is routinely performed to assist with chemical selection and to optimise treatment design, many examples having been presented in the literature previously. However, the modelling techniques are not always used to best effect, due to lack of experience, time or a methodical procedure for calculating sensitivities.

This paper presents a systematic approach to the use of squeeze models that makes use of laboratory data and field experience to assess, simply and effectively, the options for treatment design. Examples are presented that demonstrate the use of such models in aiding the selection of an appropriate inhibitor and the design of the first treatments as part of an integrated scale management philosophy. Very good accuracy in modelling the core flood is usually achieved. While the match between the model prediction and the first squeeze treatment is typically less accurate, history matching of the model parameters based on the first treatment is shown, by means of examples from two North Sea fields, to enable accurate predictions of numerous subsequent treatments in the same formation. The ability to accurately model treatments means that squeeze performance can be predicted with a high degree of confidence, and thus the treatment design may be optimised. This ability to accurately predicted treatment life is critical as wells mature, and the focus on cost per barrel of treated fluid becomes more critical. The most sensitive parameters are shown to be inhibitor type, inhibitor volume and overflush volume, and the paper discusses how they should be optimised to achieve the desired protection while striking a balance with chemical cost and deferred oil production.

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