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Method of Predicting the Location of Water Cresting for Horizontal Wells in a Water-Drive Reservoir for Early Prevention
[Image: see text] A method of prediction of location of water cresting and characterizing its intensity in a horizontal well in a water-drive reservoir is introduced for the first time. A mechanistic model for water cresting derived from Darcy’s equation incorporating the main parameters reported in...
Autores principales: | , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
American Chemical Society
2020
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Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7557947/ https://www.ncbi.nlm.nih.gov/pubmed/33073143 http://dx.doi.org/10.1021/acsomega.0c03742 |
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author | Fu, Joseph Y. Yue, Xiang’an Lifeng, Li Zhang, Lijuan |
author_facet | Fu, Joseph Y. Yue, Xiang’an Lifeng, Li Zhang, Lijuan |
author_sort | Fu, Joseph Y. |
collection | PubMed |
description | [Image: see text] A method of prediction of location of water cresting and characterizing its intensity in a horizontal well in a water-drive reservoir is introduced for the first time. A mechanistic model for water cresting derived from Darcy’s equation incorporating the main parameters reported in the literature affecting water cresting—viscosity, well distance to the aquifer, wellbore pressure gradient, and reservoir heterogeneity—is introduced with two new characterizing parameters. First is a model-derived parameter, called the breakthrough coefficient, which is defined as the ratio of the average time of breakthrough to the time of breakthrough for a segment of the well, with the model-predicted location of water cresting corresponding to the well segment with the largest breakthrough coefficient. The second is the Cresting index, which is the ratio of the maximum breakthrough coefficient to the minimum breakthrough coefficient as a characterizing parameter, with a well with a higher cresting index corresponding to a faster breakthrough in a group of similar wells. This methodology was validated through a series of sophisticated experimental corefloods and found to predict 78% of the location of the water cresting accurately. The cresting index is found to be weakly correlated with the speed of breakthrough among similar wells. |
format | Online Article Text |
id | pubmed-7557947 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2020 |
publisher | American Chemical Society |
record_format | MEDLINE/PubMed |
spelling | pubmed-75579472020-10-16 Method of Predicting the Location of Water Cresting for Horizontal Wells in a Water-Drive Reservoir for Early Prevention Fu, Joseph Y. Yue, Xiang’an Lifeng, Li Zhang, Lijuan ACS Omega [Image: see text] A method of prediction of location of water cresting and characterizing its intensity in a horizontal well in a water-drive reservoir is introduced for the first time. A mechanistic model for water cresting derived from Darcy’s equation incorporating the main parameters reported in the literature affecting water cresting—viscosity, well distance to the aquifer, wellbore pressure gradient, and reservoir heterogeneity—is introduced with two new characterizing parameters. First is a model-derived parameter, called the breakthrough coefficient, which is defined as the ratio of the average time of breakthrough to the time of breakthrough for a segment of the well, with the model-predicted location of water cresting corresponding to the well segment with the largest breakthrough coefficient. The second is the Cresting index, which is the ratio of the maximum breakthrough coefficient to the minimum breakthrough coefficient as a characterizing parameter, with a well with a higher cresting index corresponding to a faster breakthrough in a group of similar wells. This methodology was validated through a series of sophisticated experimental corefloods and found to predict 78% of the location of the water cresting accurately. The cresting index is found to be weakly correlated with the speed of breakthrough among similar wells. American Chemical Society 2020-10-05 /pmc/articles/PMC7557947/ /pubmed/33073143 http://dx.doi.org/10.1021/acsomega.0c03742 Text en © 2020 American Chemical Society This is an open access article published under an ACS AuthorChoice License (http://pubs.acs.org/page/policy/authorchoice_termsofuse.html) , which permits copying and redistribution of the article or any adaptations for non-commercial purposes. |
spellingShingle | Fu, Joseph Y. Yue, Xiang’an Lifeng, Li Zhang, Lijuan Method of Predicting the Location of Water Cresting for Horizontal Wells in a Water-Drive Reservoir for Early Prevention |
title | Method of Predicting the Location of Water Cresting
for Horizontal Wells in a Water-Drive Reservoir for Early Prevention |
title_full | Method of Predicting the Location of Water Cresting
for Horizontal Wells in a Water-Drive Reservoir for Early Prevention |
title_fullStr | Method of Predicting the Location of Water Cresting
for Horizontal Wells in a Water-Drive Reservoir for Early Prevention |
title_full_unstemmed | Method of Predicting the Location of Water Cresting
for Horizontal Wells in a Water-Drive Reservoir for Early Prevention |
title_short | Method of Predicting the Location of Water Cresting
for Horizontal Wells in a Water-Drive Reservoir for Early Prevention |
title_sort | method of predicting the location of water cresting
for horizontal wells in a water-drive reservoir for early prevention |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7557947/ https://www.ncbi.nlm.nih.gov/pubmed/33073143 http://dx.doi.org/10.1021/acsomega.0c03742 |
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