Integrated Modeling of In-Situ Combustion from Laboratory to Field Scale

Author(s):  
Zhouyuan Zhu ◽  
Canhua Liu ◽  
Yuning Gong ◽  
Yang Song ◽  
Yanni Liu ◽  
...  
2011 ◽  
Author(s):  
Zhouyuan Zhu ◽  
Mohamad Bazargan ◽  
Alexandre Lapene ◽  
Margot Geertrui Gerritsen ◽  
Louis Marie Castanier ◽  
...  

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

2010 ◽  
Author(s):  
Ismael Anaya ◽  
Rosa Elena La Cruz ◽  
Argenis Jesus Alvarez ◽  
Dubert Gutierrez ◽  
Fraser A. Skoreyko ◽  
...  

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.


2011 ◽  
Author(s):  
Dubert Gutierrez ◽  
Robert Gordon Moore ◽  
Matthew G. Ursenbach ◽  
Sudarshan A. Mehta

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