Dynamic simulation of the THAI heavy oil recovery process
Toe-to-Heel Air Injection (THAI) is a variant of conventional In-Situ Combustion (ISC) that uses a horizontal production well to recover mobilised partially upgraded heavy oil. It has a number of advantages over other heavy oil recovery techniques such as high recovery potential. However, existing m...
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| Format: | Article |
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American Chemical Society
2017
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| Online Access: | https://eprints.nottingham.ac.uk/40259/ |
| _version_ | 1848796019187253248 |
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| author | Rabiu Ado, Muhammad Greaves, Malcolm Rigby, Sean P. |
| author_facet | Rabiu Ado, Muhammad Greaves, Malcolm Rigby, Sean P. |
| author_sort | Rabiu Ado, Muhammad |
| building | Nottingham Research Data Repository |
| collection | Online Access |
| description | Toe-to-Heel Air Injection (THAI) is a variant of conventional In-Situ Combustion (ISC) that uses a horizontal production well to recover mobilised partially upgraded heavy oil. It has a number of advantages over other heavy oil recovery techniques such as high recovery potential. However, existing models are unable to predict the effect of the most important operational parameters, such as fuel availability and produced oxygen concentration, which will give rise to unsafe designs. Therefore, we have developed a new model that accurately predicts dynamic conditions in the reservoir and also is easily scalable to investigate different field scenarios. The model used a three component direct conversion cracking kinetics scheme, which does not depend on the stoichiometry of the products and, thus, reduces the extent of uncertainty in the simulation results as the number of unknowns is reduced. The oil production rate and cumulative oil produced were well predicted, with the latter deviating from the experimental value by only 4%. The improved ability of the model to emulate real process dynamics meant it also accurately predicted when the oxygen was first produced, thereby enabling a more accurate assessment to be made of when it would be safe to shut-in the process, prior to oxygen breakthrough occurring. The increasing trend in produced oxygen concentration following a step change in the injected oxygen rate by 33 % was closely replicated by the model. The new simulations have now elucidated the mechanism of oxygen production during the later stages of the experiment. The model has allowed limits to be placed on the air injection rates that ensure stability of operation. Unlike previous models, the new simulations have provided better quantitative prediction of fuel laydown, which is a key phenomenon that determines whether, or not, successful operation of the THAI process can be achieved. The new model has also shown that, for completely stable operation, the combustion zone must be restricted to the upper portion of the sand pack, which can be achieved by using higher producer back pressure. |
| first_indexed | 2025-11-14T19:41:19Z |
| format | Article |
| id | nottingham-40259 |
| institution | University of Nottingham Malaysia Campus |
| institution_category | Local University |
| last_indexed | 2025-11-14T19:41:19Z |
| publishDate | 2017 |
| publisher | American Chemical Society |
| recordtype | eprints |
| repository_type | Digital Repository |
| spelling | nottingham-402592020-05-04T18:30:17Z https://eprints.nottingham.ac.uk/40259/ Dynamic simulation of the THAI heavy oil recovery process Rabiu Ado, Muhammad Greaves, Malcolm Rigby, Sean P. Toe-to-Heel Air Injection (THAI) is a variant of conventional In-Situ Combustion (ISC) that uses a horizontal production well to recover mobilised partially upgraded heavy oil. It has a number of advantages over other heavy oil recovery techniques such as high recovery potential. However, existing models are unable to predict the effect of the most important operational parameters, such as fuel availability and produced oxygen concentration, which will give rise to unsafe designs. Therefore, we have developed a new model that accurately predicts dynamic conditions in the reservoir and also is easily scalable to investigate different field scenarios. The model used a three component direct conversion cracking kinetics scheme, which does not depend on the stoichiometry of the products and, thus, reduces the extent of uncertainty in the simulation results as the number of unknowns is reduced. The oil production rate and cumulative oil produced were well predicted, with the latter deviating from the experimental value by only 4%. The improved ability of the model to emulate real process dynamics meant it also accurately predicted when the oxygen was first produced, thereby enabling a more accurate assessment to be made of when it would be safe to shut-in the process, prior to oxygen breakthrough occurring. The increasing trend in produced oxygen concentration following a step change in the injected oxygen rate by 33 % was closely replicated by the model. The new simulations have now elucidated the mechanism of oxygen production during the later stages of the experiment. The model has allowed limits to be placed on the air injection rates that ensure stability of operation. Unlike previous models, the new simulations have provided better quantitative prediction of fuel laydown, which is a key phenomenon that determines whether, or not, successful operation of the THAI process can be achieved. The new model has also shown that, for completely stable operation, the combustion zone must be restricted to the upper portion of the sand pack, which can be achieved by using higher producer back pressure. American Chemical Society 2017-01-18 Article PeerReviewed Rabiu Ado, Muhammad, Greaves, Malcolm and Rigby, Sean P. (2017) Dynamic simulation of the THAI heavy oil recovery process. Energy and Fuels . ISSN 1520-5029 Bitumen; in-situ-combustion; oil recovery; simulation; kinetics http://pubs.acs.org/doi/abs/10.1021/acs.energyfuels.6b02559 doi:10.1021/acs.energyfuels.6b02559 doi:10.1021/acs.energyfuels.6b02559 |
| spellingShingle | Bitumen; in-situ-combustion; oil recovery; simulation; kinetics Rabiu Ado, Muhammad Greaves, Malcolm Rigby, Sean P. Dynamic simulation of the THAI heavy oil recovery process |
| title | Dynamic simulation of the THAI heavy oil recovery process |
| title_full | Dynamic simulation of the THAI heavy oil recovery process |
| title_fullStr | Dynamic simulation of the THAI heavy oil recovery process |
| title_full_unstemmed | Dynamic simulation of the THAI heavy oil recovery process |
| title_short | Dynamic simulation of the THAI heavy oil recovery process |
| title_sort | dynamic simulation of the thai heavy oil recovery process |
| topic | Bitumen; in-situ-combustion; oil recovery; simulation; kinetics |
| url | https://eprints.nottingham.ac.uk/40259/ https://eprints.nottingham.ac.uk/40259/ https://eprints.nottingham.ac.uk/40259/ |