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New Gas Tracer Convection–Diffusion Model between Wells in Heavy Oil Reservoirs

[Image: see text] Different from conventional oil and gas, the storage and seepage space of heavy oil reservoirs are extremely complicated, thereby making it difficult to describe reservoirs in detail over the heavy oil production process. Acquiring development results accurately in real time is sti...

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Autores principales: Du, Dianfa, Zhang, Yaozu, Liu, Xin, Zhang, Lina, Ren, Lichuan, Liu, Peng
Formato: Online Artículo Texto
Lenguaje:English
Publicado: American Chemical Society 2021
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8482519/
https://www.ncbi.nlm.nih.gov/pubmed/34604657
http://dx.doi.org/10.1021/acsomega.1c03588
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author Du, Dianfa
Zhang, Yaozu
Liu, Xin
Zhang, Lina
Ren, Lichuan
Liu, Peng
author_facet Du, Dianfa
Zhang, Yaozu
Liu, Xin
Zhang, Lina
Ren, Lichuan
Liu, Peng
author_sort Du, Dianfa
collection PubMed
description [Image: see text] Different from conventional oil and gas, the storage and seepage space of heavy oil reservoirs are extremely complicated, thereby making it difficult to describe reservoirs in detail over the heavy oil production process. Acquiring development results accurately in real time is still a demanding task, and it is also a challenge to predict the average remaining heavy oil saturation during the production process. Tracers are mostly used to monitor steam flooding to obtain the real-time dynamics during heavy oil production in fields. However, the flow pattern of gas tracers in heavy oil is still unclear, with very rare investigations. In this work, a new one-dimensional gas tracer convection–diffusion model that considered the retention and oil phase migration velocity was established using the percolation law of gas tracers. The reservoir description coefficient f was introduced to describe the relationship between the migration velocities of the oil and gas phases in the heavy oil reservoir. Subsequently, a new gas tracer well pattern flow model was also constructed based on the gas tracer linear flow model and verified simultaneously. The results revealed that at a larger partition coefficient, more amounts of gas tracers were distributed in the crude oil, the duration of stagnation was extended, and the start time of tracer production was moved backward. The injection velocity had a very minor effect on the tracer production performance. As the fluid injection rate increased, the duration of gas tracer production was extended; however, after the injection rate reached a certain level, the difference in the arrival time of the peak become minor. The effects of crude oil viscosity on the tracer production were reflected by the breakthrough time, production time, peak concentration, and peak arrival time of the tracer. Compared with the production curve of the crude oil viscosity, the peak of the production curve with high crude oil viscosity has a faster peak time and a large peak value. The reservoir description coefficient mainly affects the peak concentration of tracer production and has very minor effects on the production time and other parameters. The outcomes of this work can be applied in the field of heavy oil development, in particular, for the heavy oil reservoir description and dynamic monitoring.
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spelling pubmed-84825192021-10-01 New Gas Tracer Convection–Diffusion Model between Wells in Heavy Oil Reservoirs Du, Dianfa Zhang, Yaozu Liu, Xin Zhang, Lina Ren, Lichuan Liu, Peng ACS Omega [Image: see text] Different from conventional oil and gas, the storage and seepage space of heavy oil reservoirs are extremely complicated, thereby making it difficult to describe reservoirs in detail over the heavy oil production process. Acquiring development results accurately in real time is still a demanding task, and it is also a challenge to predict the average remaining heavy oil saturation during the production process. Tracers are mostly used to monitor steam flooding to obtain the real-time dynamics during heavy oil production in fields. However, the flow pattern of gas tracers in heavy oil is still unclear, with very rare investigations. In this work, a new one-dimensional gas tracer convection–diffusion model that considered the retention and oil phase migration velocity was established using the percolation law of gas tracers. The reservoir description coefficient f was introduced to describe the relationship between the migration velocities of the oil and gas phases in the heavy oil reservoir. Subsequently, a new gas tracer well pattern flow model was also constructed based on the gas tracer linear flow model and verified simultaneously. The results revealed that at a larger partition coefficient, more amounts of gas tracers were distributed in the crude oil, the duration of stagnation was extended, and the start time of tracer production was moved backward. The injection velocity had a very minor effect on the tracer production performance. As the fluid injection rate increased, the duration of gas tracer production was extended; however, after the injection rate reached a certain level, the difference in the arrival time of the peak become minor. The effects of crude oil viscosity on the tracer production were reflected by the breakthrough time, production time, peak concentration, and peak arrival time of the tracer. Compared with the production curve of the crude oil viscosity, the peak of the production curve with high crude oil viscosity has a faster peak time and a large peak value. The reservoir description coefficient mainly affects the peak concentration of tracer production and has very minor effects on the production time and other parameters. The outcomes of this work can be applied in the field of heavy oil development, in particular, for the heavy oil reservoir description and dynamic monitoring. American Chemical Society 2021-09-15 /pmc/articles/PMC8482519/ /pubmed/34604657 http://dx.doi.org/10.1021/acsomega.1c03588 Text en © 2021 The Authors. Published by American Chemical Society https://creativecommons.org/licenses/by-nc-nd/4.0/Permits non-commercial access and re-use, provided that author attribution and integrity are maintained; but does not permit creation of adaptations or other derivative works (https://creativecommons.org/licenses/by-nc-nd/4.0/).
spellingShingle Du, Dianfa
Zhang, Yaozu
Liu, Xin
Zhang, Lina
Ren, Lichuan
Liu, Peng
New Gas Tracer Convection–Diffusion Model between Wells in Heavy Oil Reservoirs
title New Gas Tracer Convection–Diffusion Model between Wells in Heavy Oil Reservoirs
title_full New Gas Tracer Convection–Diffusion Model between Wells in Heavy Oil Reservoirs
title_fullStr New Gas Tracer Convection–Diffusion Model between Wells in Heavy Oil Reservoirs
title_full_unstemmed New Gas Tracer Convection–Diffusion Model between Wells in Heavy Oil Reservoirs
title_short New Gas Tracer Convection–Diffusion Model between Wells in Heavy Oil Reservoirs
title_sort new gas tracer convection–diffusion model between wells in heavy oil reservoirs
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8482519/
https://www.ncbi.nlm.nih.gov/pubmed/34604657
http://dx.doi.org/10.1021/acsomega.1c03588
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