A physical model for scale growth in the Dynamic Tube Blocking Test (TBT) is presented aiming at the determination of the first layer formation time and the scale growing rate. The proposed model has been applied to 38 experimental results, each one with a different water composition. The fluid compositions were selected to represent the majority of the fluids found in typical Brazilian oil wells. For the application of this model, no differential pressure was considered before pumping. Additionally, the pressure rising time was not taken into account in the calculation of the first layer formation time. The model showed excellent fitting to the experimental data, with correlation coefficients superior to 0.98 for most data. Furthermore, the results of the scale growing rate were compatible to the results from other experiments, utilizing: rotating cage; static reactors; and full scale Inflow Control Valves (ICVs). Furthermore, on a scientific perspective, the model can also be used for the development of scale growing models as a function of pressure, temperature, composition.

Keywords:
asphaltene remediation, production chemistry, pipe, assumption, brine, paraffin remediation, machine learning, scale inhibition, scale growth, upstream oil & gas
Subjects:
Production Chemistry, Metallurgy and Biology, Information Management and Systems, Inhibition and remediation of hydrates, scale, paraffin / wax and asphaltene
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2017. Offshore Technology Conference
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