Numerical investigation of carbonate acidizing with gelled acid using a coupled thermal–hydrologic–chemical model
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Embargo End Date:
2022-10-23
Type
ArticleKAUST Department
Computational Transport Phenomena LabEarth Science and Engineering Program
Physical Science and Engineering (PSE) Division
Date
2020-10-23Embargo End Date
2022-10-23Submitted Date
2019-09-18Permanent link to this record
http://hdl.handle.net/10754/665726
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In this work, an experiment-based rheological model that accounts for the influence of polymer concentration, shear-thinning behavior, and temperature variation on the in-situ viscosity of gelled acid is developed. On the basis of the rheological model, we present a thermal–hydrologic–chemical coupled model that describes the dissolution process of carbonate acidization with gelled acid. A sensitivity analysis of the dissolution dynamic regarding the temperature variation, polymer adsorption, and non-Newtonian behavior of the injected acid is carried out. The comparison of acidization curves and dissolution patterns obtained by injecting gelled acid and HCl is conducted. It is found that the optimal dissolution regime for gelled acid has a much wider range than neat HCl. It is observed from the numerical simulations that reservoir temperature and rheological parameters of the acid are key factors that affect acidizing efficiency, while the effect of polymer adsorption can be ignored. In addition, several recommendations for optimal stimulation of carbonates with gelled acids are provided.Citation
Liu, P., Li, J., Sun, S., Yao, J., & Zhang, K. (2021). Numerical investigation of carbonate acidizing with gelled acid using a coupled thermal–hydrologic–chemical model. International Journal of Thermal Sciences, 160, 106700. doi:10.1016/j.ijthermalsci.2020.106700Sponsors
The authors gratefully acknowledge the support from the National Natural Science Foundation of China (No. 51804325, 51904031), the China Postdoctoral Science Foundation (No. 2019M652508), and the National Natural Science Foundation of China (No. 51874262).Publisher
Elsevier BVAdditional Links
https://linkinghub.elsevier.com/retrieve/pii/S1290072920311467ae974a485f413a2113503eed53cd6c53
10.1016/j.ijthermalsci.2020.106700