Mohammad Parvazdavani
Research Institute of Petroleum Industry (RIPI), Iran
Title: Static Modeling of Oil filed Mineral Scales: Software Development
Biography
Biography: Mohammad Parvazdavani
Abstract
Mineral scale deposition in near wellbore regions of injection wells is one of the main challengeable issues during the water injection process which magnify the importance of robust model in predicting the amount of mineral scale deposition such as calcium sulfate. One of the main challenges of CaSO4 scale is in carbonated reservoirs in which sensitive behavior was observed in related to contribution of both calcium and sulfate ions in carbonated and sulfated scale reactions. This defect is mirror of wrong procedure and value in estimation of first kind/value of precipitant contributed in scale deposition reactions (ions competition) as well as inconsistent temperature/pressure dependent coefficients of prediction model. The objective of this study is to develop a model that can accurately predict the formation and amount of CaSO4 scale as the dominant scale in multicomponent aqueous systems by three major tools; utilization the best temperature and pressure dependent thermodynamic interactive ion coefficients (MSE Model: Pitzer), developing our fine-tuned iterative mathematical solver and verification the results of model by accurate experimental data. The results showed that at the optimum value of precipitant (10%) in scale deposition reactions and by defining the best temperature and pressure dependent coefficients, we can attain the best accuracy in prediction of CaSO4 scale deposited amount (less than 0.06 percentages as relative error compared to commercial software with 36 percentages overestimation and 22 percentages underestimation). The output of this study is developed software leading to more accurate prediction the amount of promising scales in near wellbore regions or pipeline.