Technical research and application of parameter calculation for numerical simulation of chemical flooding

Kewei Lu

doi:10.1117/12.2639198

17 May 2022 Technical research and application of parameter calculation for numerical simulation of chemical flooding

Kewei Lu

Proceedings Volume 12259, 2nd International Conference on Applied Mathematics, Modelling, and Intelligent Computing (CAMMIC 2022); 1225907 (2022) https://doi.org/10.1117/12.2639198
Event: 2nd International Conference on Applied Mathematics, Modelling, and Intelligent Computing, 2022, Kunming, China

Abstract

Numerical simulation is of great importance as implementation guides of chemical flooding projects. However, there are still significant difficulties remaining in the historical fitting process of chemical flooding simulation due to uncertainties of some related parameters. In order to enhance the accuracy of historical fitting, the numerical simulation parameters need to be calculated correctly. Based on laboratory experiments of viscosity and concentration curves of polymer solutions, rheological curve, competitive adsorption loss curve between surfactant and alkali, the least squares can be used to establish mathematical models for parameter calculation. On this basis, a software for calculation numerical simulation parameters is developed, and the interface of parameter calculation is realized. Through the application of field historical fitting, the results show that: the performance index calculated by numerical simulation is in very good agreement with the observation data, so a better historical fitting result has been obtained. The accuracy of parameter calculation is verified, at the same time, the time of historical fitting is shortened, which lays a good foundation for predicting chemical flooding performance.

Citation Download Citation

Kewei Lu "Technical research and application of parameter calculation for numerical simulation of chemical flooding", Proc. SPIE 12259, 2nd International Conference on Applied Mathematics, Modelling, and Intelligent Computing (CAMMIC 2022), 1225907 (17 May 2022); https://doi.org/10.1117/12.2639198

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