Modeling and analysis of the acidizing process in carbonate rocks using a two-phase thermal-hydrologic-chemical coupled model
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2021-11-01
Type
ArticleKAUST Department
Computational Transport Phenomena LabEarth Science and Engineering
Earth Science and Engineering Program
Physical Science and Engineering (PSE) Division
Date
2019-06-18Online Publication Date
2019-06-18Print Publication Date
2019-11Embargo End Date
2021-11-01Permanent link to this record
http://hdl.handle.net/10754/656046
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We present a two-phase thermal-hydrologic-chemical coupled model for simulating the dissolution process during the acidization of carbonate rocks. In particular, we develop a new model to describe the change in irreducible water saturation, residual oil saturation, and the maximum relative permeability of oil and water phases with dissolution proceeding. We also present a new method for the generation of the initial porosity field with controllable correlation length. In numerical calculation, the sequential iteration approach is adopted to solve the presented model, and the operator splitting method is used to deal with the reaction relevant equations. The involved equations are discretized using the finite-volume method, where the convection term is discretized by the MINMOD scheme which can prevent overshoot/undershoot of the numerical solution. Additionally, sensitivity analysis of the dissolution process concerning rock properties, the exothermic heat of reaction, and two-phase flow, is carried out. Based on the predicted results, several recommendations for the carbonate acidizing operation are given, and the potential extensions of the current work are summarized.Citation
Liu, P., Yan, X., Yao, J., & Sun, S. (2019). Modeling and analysis of the acidizing process in carbonate rocks using a two-phase thermal-hydrologic-chemical coupled model. Chemical Engineering Science, 207, 215–234. doi:10.1016/j.ces.2019.06.017Sponsors
The authors gratefully acknowledge the support from the National Natural Science Foundation of China (No. 51804325), China Postdoctoral Science Foundation (No. 2019M652508), and the National Natural Science Foundation of China (Nos. 51874262, 51774317).Publisher
Elsevier BVJournal
Chemical Engineering ScienceAdditional Links
https://linkinghub.elsevier.com/retrieve/pii/S0009250919305147ae974a485f413a2113503eed53cd6c53
10.1016/j.ces.2019.06.017