10132 Carbonate Scaling Prediction: The Importance of Valid Data Input

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Product Number: 51300-10132-SG

ISBN: 10132 2010 CP

Author: Hua Guan

Publication Date: 2010

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In field work recently conducted, it was revealed that there were no scale control measures in place because scale prediction conducted earlier had concluded that there was no scaling risk. However, a field survey later observed calcium carbonate deposits. In view of the inconsistency between theoretical prediction and field observations, another scale prediction study was conducted to understand the real field scaling potential.

Carbonate scale prediction is more challenging due to the CO2 evolution and partitioning into all three (water/oil/gas) phases during production. This paper describes the scale prediction conducted at three different scenarios: (1) prediction without hydrocarbon, i.e., only water production during the calculation; (2) prediction with water and gas, i.e., gas production is considered; and (3) prediction with all three phases, i.e., the true replication of the production. The effect of pH was studied in detail during sensitivity runs. In addition, the effect of power oil on scaling potential is also investigated. It is well known that pH increase has a profound effect to prompt calcium carbonate scaling potential; a local increase in pH contributed to the solid deposition observed in field. The exclusion of the oil and gas phases in the previous modeling underestimated the real scaling risk. The carbonate scaling potential increases significantly when hydrocarbon was included into the calculation. The addition of power oil has little effect on the overall scaling potential in this case.

Keywords: Carbonate Scale; Scale Prediction; Prediction Software; Modeling