Distributed Temperature Sensing Monitoring of Well Completion Processes in a CO<sub>2</sub> Geological Storage Demonstration Site

The Distributed Temperature Sensing (DTS) profiles obtained during well completion of a CO<sub>2</sub> monitoring well were analyzed to characterize each well completion process in terms of temperature anomalies. Before analysis, we corrected the depth by redistributing the discrepancy,...

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Main Authors: Dasom Sharon Lee, Kwon Gyu Park, Changhyun Lee, Sang-Jin Choi
Format: Article
Language:English
Published: MDPI AG 2018-12-01
Series:Sensors
Subjects:
Online Access:https://www.mdpi.com/1424-8220/18/12/4239
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spelling doaj-62f6395b09574ad39634f13a9ccbc90c2020-11-24T22:52:12ZengMDPI AGSensors1424-82202018-12-011812423910.3390/s18124239s18124239Distributed Temperature Sensing Monitoring of Well Completion Processes in a CO<sub>2</sub> Geological Storage Demonstration SiteDasom Sharon Lee0Kwon Gyu Park1Changhyun Lee2Sang-Jin Choi3Petroleum &amp; Marine Division, Korea Institute of Geoscience and Mineral Resources, 124 Gwahak-ro, Yuseong-gu, Daejeon 34132, KoreaPetroleum &amp; Marine Division, Korea Institute of Geoscience and Mineral Resources, 124 Gwahak-ro, Yuseong-gu, Daejeon 34132, KoreaPetroleum &amp; Marine Division, Korea Institute of Geoscience and Mineral Resources, 124 Gwahak-ro, Yuseong-gu, Daejeon 34132, KoreaPetroleum &amp; Marine Division, Korea Institute of Geoscience and Mineral Resources, 124 Gwahak-ro, Yuseong-gu, Daejeon 34132, KoreaThe Distributed Temperature Sensing (DTS) profiles obtained during well completion of a CO<sub>2</sub> monitoring well were analyzed to characterize each well completion process in terms of temperature anomalies. Before analysis, we corrected the depth by redistributing the discrepancy, and then explored three temperature calibration methods. Consequently, we confirmed the depth discrepancy could be well corrected with conventional error redistribution techniques. Among three temperature calibration methods, the conventional method shows the best results. However, pointwise methods using heat coil or in-well divers also showed reliable accuracy, which allows them to be alternatives when the conventional method is not affordable. The DTS data revealed that each well completion processes can be characterized by their own distinctive temperature anomaly patterns. During gravel packing, the sand progression was monitorable with clear step-like temperature change due to the thermal bridge effect of sand. The DTS data during the cementing operation, also, clearly showed the progression up of the cement slurry and the exothermic reaction associated with curing of cement. During gas lift operations, we could observe the effect of casing transition as well as typical highly oscillating thermal response to gas lifting.https://www.mdpi.com/1424-8220/18/12/4239distributed temperature sensingtemperature calibrationdepth correctionfiber optic sensingwell completion monitoring
collection DOAJ
language English
format Article
sources DOAJ
author Dasom Sharon Lee
Kwon Gyu Park
Changhyun Lee
Sang-Jin Choi
spellingShingle Dasom Sharon Lee
Kwon Gyu Park
Changhyun Lee
Sang-Jin Choi
Distributed Temperature Sensing Monitoring of Well Completion Processes in a CO<sub>2</sub> Geological Storage Demonstration Site
Sensors
distributed temperature sensing
temperature calibration
depth correction
fiber optic sensing
well completion monitoring
author_facet Dasom Sharon Lee
Kwon Gyu Park
Changhyun Lee
Sang-Jin Choi
author_sort Dasom Sharon Lee
title Distributed Temperature Sensing Monitoring of Well Completion Processes in a CO<sub>2</sub> Geological Storage Demonstration Site
title_short Distributed Temperature Sensing Monitoring of Well Completion Processes in a CO<sub>2</sub> Geological Storage Demonstration Site
title_full Distributed Temperature Sensing Monitoring of Well Completion Processes in a CO<sub>2</sub> Geological Storage Demonstration Site
title_fullStr Distributed Temperature Sensing Monitoring of Well Completion Processes in a CO<sub>2</sub> Geological Storage Demonstration Site
title_full_unstemmed Distributed Temperature Sensing Monitoring of Well Completion Processes in a CO<sub>2</sub> Geological Storage Demonstration Site
title_sort distributed temperature sensing monitoring of well completion processes in a co<sub>2</sub> geological storage demonstration site
publisher MDPI AG
series Sensors
issn 1424-8220
publishDate 2018-12-01
description The Distributed Temperature Sensing (DTS) profiles obtained during well completion of a CO<sub>2</sub> monitoring well were analyzed to characterize each well completion process in terms of temperature anomalies. Before analysis, we corrected the depth by redistributing the discrepancy, and then explored three temperature calibration methods. Consequently, we confirmed the depth discrepancy could be well corrected with conventional error redistribution techniques. Among three temperature calibration methods, the conventional method shows the best results. However, pointwise methods using heat coil or in-well divers also showed reliable accuracy, which allows them to be alternatives when the conventional method is not affordable. The DTS data revealed that each well completion processes can be characterized by their own distinctive temperature anomaly patterns. During gravel packing, the sand progression was monitorable with clear step-like temperature change due to the thermal bridge effect of sand. The DTS data during the cementing operation, also, clearly showed the progression up of the cement slurry and the exothermic reaction associated with curing of cement. During gas lift operations, we could observe the effect of casing transition as well as typical highly oscillating thermal response to gas lifting.
topic distributed temperature sensing
temperature calibration
depth correction
fiber optic sensing
well completion monitoring
url https://www.mdpi.com/1424-8220/18/12/4239
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