Development of an Accurate Model for Prediction of Inorganic Scale Precipitation in Reservoir Water Injection Process

فاقد چكيده فارسي

One of the major recog-nized problems in the oilfield production industry is the deposition of mineral scale on the surface of production equipment and in the pores of rock. Sulfate and carbonate scales have been recognized to be a major operational problem in surface and subsurface oil and gas production operations. Therefore, accurate estimation of this deposition type can result in increasing the efficiency of oil and gas production. In this work, a novel approach is implemented to develop a predictive model for the prediction of scale formation in synthetic brines at reservoir conditions. The objective of this study is to develop a model that can accurately predict the formation and amount of mineral scale in multicomponent aqueous systems by three major tools, namely utilization the best temperature- and pressure-dependent thermodynamic interactive ion coefficients, developing our fine-tuned iterative mathematical solver, and verification of the results of the model by accurate experimental data. The results showed that by defining the best temperature- and pressure-dependent coefficients, the statistical error analysis confirms that the developed RIPI model has the lower scatter around the zero error and smaller error range to estimate the amount of individual solids precipitation in comparison with the OLI ScaleChem software and StimCade software. The output of this study is developed software leading to the more accurate prediction of the amount of promising scales in near wellbore regions or pipelines.