Static Modeling of Oil Field Mineral Scales: Software Development

Document Type : Research Paper

Authors

1 Reservoir Studies Research Division, Research Institute of Petroleum Industry, Tehran, Iran

2 Petroleum Engineering Department, Amir-Kabir University of Technology, Tehran, Iran

3 Upstream Faculty, Research Institute of Petroleum Industry (RIPI), Tehran, Iran

Abstract

Mineral scale deposition in near wellbore regions of injection wells is one of the main challengeable issues during the water injection process, which magnifies the importance of robust models 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 is observed in related to the contribution of both calcium and sulfate ions in carbonated and sulfated scale reactions. This defect is mirror of wrong procedure and value in the 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, namely utilization the best temperature- and pressure-dependent thermodynamic interactive ion coefficients (MSE Model: Pitzer), developing our fine-tuned iterative mathematical solver, and verification of the results of the 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 the prediction of CaSO4 scale deposited amount (less than 0.06% as a relative error compared to 36% overestimation and 22% underestimation in commercial 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.

Keywords

References

BinMerdhah B. M., Azam Mohd Yassin A., and Muherei A. M., “Laboratory and Prediction of Barium Sulfate Scaling at High-Barium Formation Water,” Journal of Petroleum Science and Engineering, 2010, 70, 79-88.
Moghadasi J., Jamialahmadi M., Muller-Steinhagen H., Sharif A., et al., “Scale Formation in Iranian Oil Reservoir and Production Equipment during Water Injection,” The 5th International Oilfield Scale Symposium and Exhibition. Aberdeen, UK,SPE 80406, 2003.
Collins R. I. and Jordan M. M., “Occurrence, Prediction and Prevention of Zinc Sulfide Scale within Gulf Coast and North sea High Temperature/High Salinity Production Wells,” The SPE Third International Symposium on Oil field Scale. Aberdeen, UK, SPE 68317, 2001.
Moghadasi J., Jamialahmadi M., Muller-Steinhagen H., Sharif A., et al., “Scale Formation in Iranian Oil Reservoir and Production Equipment during Water Injection,” The 5th International Oil field Scale Symposium and Exhibition, Aberdeen, UK, SPE 80406, 2003.
Oddo E. J., Smith P. J., and Tomason B. M., “Analysis of and Solutions to the CaCO3 and CaSO4 Scaling Problems Encountered in Wel ls Offshore Indonesia,” The 66th Annual Technical Conference and Exhibition of the Society of Petroleum Engineering, Dallas, TX. SPE 22782, 1991, 1-10.
Mackay J. E., “Jordan Impact of Brine Flow and Mixing in the Reservoir on Scale Control Risk Assessment and Subsurface Treatment Options: Case Histories,” Journal of Energy Resources Technology, 2005, 127, 201-213.
Bedrikovetsky P., Mackay E. J., Rosario F. F., Monteiro R. P., et al., “Injectivity Impairment Due to Sulfate Scaling During PWRI: Analytical Model, SPE International Oil field Scale Symposium,” Society of Petroleum Engineers, Aberdeen, UK, 2006.
Bedrikovetsky P. G., Mackay E. J., Silva R. M. P., Patricio F. M. R. et al., “Produced Water Re-Injection with Seawater Treated by Sulfate Reduction Plant: Injectivity Decline, Analytical Model,” Journal of Petroleum Science and Engineering, 2009, 68, 19-28.
Mackay E. “Predicting In Situ Sulfate Scale Deposition and the Impact on Produced Ion Concentrations,” Journal of Chemical Engineering and Data, 2003, 81, 326-332.
Pedersen K. S., Christensen P. L., and Azeem S. J., “Phase Behavior of Petroleum Reservoir Fluids,” Taylor and Francis, 2006.
Roberto T. P. and Pitzer S. K., “Thermodynamics of Concentrated Electrolyte Mixtures and the Prediction of Mineral Solubilities to High Temperatures for Mixtures in the System Na-K-Mg-Cl-SO-OH-H20,” Geochim Cosmochim Acta, 1987, 51, 2429-2443,
Greenberg P. and Moller G. N., “The Prediction of Mineral Solubilities in Natural Waters: A Chemical Equilibrium Model for the Na-K-Ca-Cl-SO4-H2O System to High Concentration from 0 to 250 °C,” Geochim. Cosmochim. Acta, 1989, 53, 2503-2518.
Harviec E., Mueller N., and Weare J., “The Prediction of Mineral Solubilities in Natural Waters: the Na-K-Mg-Ca-H-Cl- SO-OH-Hcos-Cos-CO2-H2O System to High Ionic Strengths at 25 °C,” Geochim. Cosmochim. Acta, 1984, 48, 723-751,
Mueller N., “The Prediction of Mineral Solubilities in Natural Waters: A Chemical Equilibrium Model for the Na-Ca-CI-SO4-H2O System, to High Temperature and Concentration,” Geochim. Cosmochim. Acta, 1988, 52, 821-837.
Christov C. and Moller N., “A Chemical Equilibrium Model of Solution Behavior and Solubility in the H-Na-K-Ca-OHCl-HSO4-SO4-H2O System to High Concentration and Temperature,” Geochimica et Cosmochimica Acta, 2004, 68, 3717–3739.
Hee-Talk K. and J. Frederick W., “Evaluation of Pitzer Ion Interaction Parameters of Aqueous Mixed Electrolyte Solutions at 25 °C. 2. Ternary Mixing Parameters,” J. Chem. Eng. Data, 1988, 33, 278-283,
Monnin C., “The Influence of Pressure on the Activity Coefficients of the Solutes and on the Solubility of Minerals in the System Na-Ca-Cl-SO4-H2O to 200°C and 1 kbar and to High NaCl Concentration,” Geochimica et Cosmochimica Acta, 1990, 54, 3265-3282.
Safari H., Shokrollahi A., Jamialahmadi M., Ghazanfari M. H., et al., “Prediction of the Aqueous Solubility of BaSO4 Using Pitzer Ion-interaction Model and LSSVM Algorithm,” Journal of Fluid Phase Equilibria, 2014, 374, 48-62.
Journal of Petroleum Science and Technology
Volume 7, Issue 2
June 2017
Pages 77-90

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