Upscaling for Field-scale In-situ Combustion Simulation

Author(s):  
Zhouyuan Zhu ◽  
Mohamad Bazargan ◽  
Alexandre Lapene ◽  
Margot Geertrui Gerritsen ◽  
Louis Marie Castanier ◽  
...  
Geofluids ◽  
2021 ◽  
Vol 2021 ◽  
pp. 1-12
Author(s):  
Zhouyuan Zhu ◽  
Canhua Liu ◽  
Yajing Chen ◽  
Yuning Gong ◽  
Yang Song ◽  
...  

In-situ combustion simulation from laboratory to field scale has always been challenging, due to difficulties in deciding the reaction model and Arrhenius kinetics parameters, together with erroneous results observed in simulations when using large-sized grid blocks. We present a workflow of successful simulation of heavy oil in-situ combustion process from laboratory to field scale. We choose the ongoing PetroChina Liaohe D block in-situ combustion project as a case of study. First, we conduct kinetic cell (ramped temperature oxidation) experiments, establish a suitable kinetic reaction model, and perform corresponding history match to obtain Arrhenius kinetics parameters. Second, combustion tube experiments are conducted and history matched to further determine other simulation parameters and to determine the fuel amount per unit reservoir volume. Third, we upscale the Arrhenius kinetics to the upscaled reaction model for field-scale simulations. The upscaled reaction model shows consistent results with different grid sizes. Finally, field-scale simulation forecast is conducted for the D block in-situ combustion process using computationally affordable grid sizes. In conclusion, this work demonstrates the practical workflow for predictive simulation of in-situ combustion from laboratory to field scale for a major project in China.


2015 ◽  
Vol 18 (02) ◽  
pp. 158-170 ◽  
Author(s):  
Anna Nissen ◽  
Zhouyuan Zhu ◽  
Anthony Kovscek ◽  
Louis Castanier ◽  
Margot Gerritsen

Summary We demonstrate the effectiveness of a non-Arrhenius kinetic upscaling approach for in-situ-combustion processes, first discussed by Kovscek et al. (2013). Arrhenius reaction terms are replaced with equivalent source terms that are determined by a work flow integrating both laboratory experiments and high-fidelity numerical simulations. The new formulation alleviates both stiffness and grid dependencies of the traditional Arrhenius approach. Consequently, the computational efficiency and robustness of simulations are improved significantly. In this paper, we thoroughly investigate the performance of the non-Arrhenius upscaling method compared with Arrhenius kinetics. We investigate robustness by considering grid effects and sensitivity to heterogeneity. Performance improvements of the new kinetic upscaling approach compared with traditional Arrhenius kinetics are demonstrated through numerical experiments in one and two dimensions for both homogeneous- and heterogeneous-permeability fields.


2019 ◽  
Author(s):  
Rakesh Kumar Meena ◽  
Ravi Shekhar Singh ◽  
Sandeep Kumar Upadhyay ◽  
Sujit Mitra

1988 ◽  
Vol 3 (02) ◽  
pp. 419-430 ◽  
Author(s):  
Yoshiaki Ito ◽  
Allan Kwok-Yuen Chow

2012 ◽  
Vol 51 (04) ◽  
pp. 256-267 ◽  
Author(s):  
Dubert Gutiérrez ◽  
R. Gordon Moore ◽  
Matthew G. Ursenbach ◽  
Sudarshan A. Mehta

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