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Field Validation of a Non-logging Alternative Method for the Prediction of the Location of Water-Cresting in Horizontal Wells for Water-Drive Reservoirs
[Image: see text] A previously reported method for a non-logging alternative method for the prediction of the location of water-cresting in horizontal wells for water-drive reservoirs is validated in a field test for the first time in this study. Using this method, the wellbore trajectory, variation...
Autores principales: | , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
American Chemical Society
2021
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Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8581985/ https://www.ncbi.nlm.nih.gov/pubmed/34778613 http://dx.doi.org/10.1021/acsomega.1c03043 |
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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 previously reported method for a non-logging alternative method for the prediction of the location of water-cresting in horizontal wells for water-drive reservoirs is validated in a field test for the first time in this study. Using this method, the wellbore trajectory, variation in the reservoir permeability, and the pressure gradient data were used to calculate what is called the breakthrough coefficient for the different segments along the length of a set horizontal well with the largest calculated breakthrough coefficient corresponding to the most likely location of the actual water-cresting occurrence. This method was field-validated and found to be in good agreement with log testing for a group of seven wells in an oilfield in Northern China. Another calculated parameter derived from the breakthrough coefficient which is called the variation of the breakthrough coefficients that characterize the effect of the variation of water production along the length of the horizontal well due to the effect of the variation of the wellbore trajectory, permeability, and pressure gradient on the oil production is also introduced. This field validation found variation of the breakthrough coefficients to be weakly and inversely correlated to the oil production in application to a group of 27 wells in the same field. |
format | Online Article Text |
id | pubmed-8581985 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2021 |
publisher | American Chemical Society |
record_format | MEDLINE/PubMed |
spelling | pubmed-85819852021-11-12 Field Validation of a Non-logging Alternative Method for the Prediction of the Location of Water-Cresting in Horizontal Wells for Water-Drive Reservoirs Fu, Joseph Y. Yue, Xiang’an Lifeng, Li Zhang, Lijuan ACS Omega [Image: see text] A previously reported method for a non-logging alternative method for the prediction of the location of water-cresting in horizontal wells for water-drive reservoirs is validated in a field test for the first time in this study. Using this method, the wellbore trajectory, variation in the reservoir permeability, and the pressure gradient data were used to calculate what is called the breakthrough coefficient for the different segments along the length of a set horizontal well with the largest calculated breakthrough coefficient corresponding to the most likely location of the actual water-cresting occurrence. This method was field-validated and found to be in good agreement with log testing for a group of seven wells in an oilfield in Northern China. Another calculated parameter derived from the breakthrough coefficient which is called the variation of the breakthrough coefficients that characterize the effect of the variation of water production along the length of the horizontal well due to the effect of the variation of the wellbore trajectory, permeability, and pressure gradient on the oil production is also introduced. This field validation found variation of the breakthrough coefficients to be weakly and inversely correlated to the oil production in application to a group of 27 wells in the same field. American Chemical Society 2021-10-29 /pmc/articles/PMC8581985/ /pubmed/34778613 http://dx.doi.org/10.1021/acsomega.1c03043 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 | Fu, Joseph Y. Yue, Xiang’an Lifeng, Li Zhang, Lijuan Field Validation of a Non-logging Alternative Method for the Prediction of the Location of Water-Cresting in Horizontal Wells for Water-Drive Reservoirs |
title | Field Validation of a Non-logging Alternative Method
for the Prediction of the Location of Water-Cresting in Horizontal
Wells for Water-Drive Reservoirs |
title_full | Field Validation of a Non-logging Alternative Method
for the Prediction of the Location of Water-Cresting in Horizontal
Wells for Water-Drive Reservoirs |
title_fullStr | Field Validation of a Non-logging Alternative Method
for the Prediction of the Location of Water-Cresting in Horizontal
Wells for Water-Drive Reservoirs |
title_full_unstemmed | Field Validation of a Non-logging Alternative Method
for the Prediction of the Location of Water-Cresting in Horizontal
Wells for Water-Drive Reservoirs |
title_short | Field Validation of a Non-logging Alternative Method
for the Prediction of the Location of Water-Cresting in Horizontal
Wells for Water-Drive Reservoirs |
title_sort | field validation of a non-logging alternative method
for the prediction of the location of water-cresting in horizontal
wells for water-drive reservoirs |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8581985/ https://www.ncbi.nlm.nih.gov/pubmed/34778613 http://dx.doi.org/10.1021/acsomega.1c03043 |
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