Calcium carbonate is a commonly occurring oilfield scale which proves to be difficult to manage. Carbonate scale prediction can be improved by considering the kinetic chemistry in addition to the conventional thermodynamics based predictive techniques. To improve the performance of a predictive model, a thorough understanding of the physical influences on carbonate scale kinetics is required. The work presented in this paper includes new data, experiment technique improvements and preliminary investigations into the efficiency of scale inhibitors. The new data acquired from the experiments described in the paper has been incorporated into our existing kinetic scale prediction model and a combined thermodynamic and kinetic computer model has been developed. An example is given which demonstrates how the combined model can be used to predict oilfield downhole carbonate scale profile and study the impact of production parameter changes, such as increasing water cut.

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