Identification and classification of water absorption profile of distributed optical fiber vibration signal based on XGBoost algorithm
Article Highlights The paper presents a machine learning study using fiber-optic sensing data to evaluate the water absorption profile for oilfield water-injection purpose. The correlation model of distributed optical fiber vibration signal and water absorption profile type is obtained by XGBoost al...
Main Authors: | , , , , , |
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Format: | Article |
Language: | English |
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Springer
2022-10-01
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Series: | SN Applied Sciences |
Subjects: | |
Online Access: | https://doi.org/10.1007/s42452-022-05172-z |
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author | Yi Wang Moujie Li Xincheng Li Huawei Wang Longmei Tian Rui Deng |
author_facet | Yi Wang Moujie Li Xincheng Li Huawei Wang Longmei Tian Rui Deng |
author_sort | Yi Wang |
collection | DOAJ |
description | Article Highlights The paper presents a machine learning study using fiber-optic sensing data to evaluate the water absorption profile for oilfield water-injection purpose. The correlation model of distributed optical fiber vibration signal and water absorption profile type is obtained by XGBoost algorithm training. The VDM method is introduced to denoise the distributed fiber optic vibration signals to improve the classification effect of XGBoost algorithm recognition. |
first_indexed | 2024-04-11T10:12:38Z |
format | Article |
id | doaj.art-32139cd651414a0cbb8e56c1d04fb926 |
institution | Directory Open Access Journal |
issn | 2523-3963 2523-3971 |
language | English |
last_indexed | 2024-04-11T10:12:38Z |
publishDate | 2022-10-01 |
publisher | Springer |
record_format | Article |
series | SN Applied Sciences |
spelling | doaj.art-32139cd651414a0cbb8e56c1d04fb9262022-12-22T04:30:03ZengSpringerSN Applied Sciences2523-39632523-39712022-10-0141111210.1007/s42452-022-05172-zIdentification and classification of water absorption profile of distributed optical fiber vibration signal based on XGBoost algorithmYi Wang0Moujie Li1Xincheng Li2Huawei Wang3Longmei Tian4Rui Deng5Key Laboratory of Oil and Gas Resources and Exploration Technology of Ministry of Education, Yangtze UniversityKey Laboratory of Oil and Gas Resources and Exploration Technology of Ministry of Education, Yangtze UniversityPetroleum Exploration and Development Research Institute, PetroChina Tarim Oilfield CompanyPetroleum Exploration and Development Research Institute, PetroChina Tarim Oilfield CompanyPetroleum Exploration and Development Research Institute, PetroChina Tarim Oilfield CompanyKey Laboratory of Oil and Gas Resources and Exploration Technology of Ministry of Education, Yangtze UniversityArticle Highlights The paper presents a machine learning study using fiber-optic sensing data to evaluate the water absorption profile for oilfield water-injection purpose. The correlation model of distributed optical fiber vibration signal and water absorption profile type is obtained by XGBoost algorithm training. The VDM method is introduced to denoise the distributed fiber optic vibration signals to improve the classification effect of XGBoost algorithm recognition.https://doi.org/10.1007/s42452-022-05172-zXGBoostDistributed optical fiber vibration signalClassification of water absorption profileProduction loggingProduction profileInjection profile |
spellingShingle | Yi Wang Moujie Li Xincheng Li Huawei Wang Longmei Tian Rui Deng Identification and classification of water absorption profile of distributed optical fiber vibration signal based on XGBoost algorithm SN Applied Sciences XGBoost Distributed optical fiber vibration signal Classification of water absorption profile Production logging Production profile Injection profile |
title | Identification and classification of water absorption profile of distributed optical fiber vibration signal based on XGBoost algorithm |
title_full | Identification and classification of water absorption profile of distributed optical fiber vibration signal based on XGBoost algorithm |
title_fullStr | Identification and classification of water absorption profile of distributed optical fiber vibration signal based on XGBoost algorithm |
title_full_unstemmed | Identification and classification of water absorption profile of distributed optical fiber vibration signal based on XGBoost algorithm |
title_short | Identification and classification of water absorption profile of distributed optical fiber vibration signal based on XGBoost algorithm |
title_sort | identification and classification of water absorption profile of distributed optical fiber vibration signal based on xgboost algorithm |
topic | XGBoost Distributed optical fiber vibration signal Classification of water absorption profile Production logging Production profile Injection profile |
url | https://doi.org/10.1007/s42452-022-05172-z |
work_keys_str_mv | AT yiwang identificationandclassificationofwaterabsorptionprofileofdistributedopticalfibervibrationsignalbasedonxgboostalgorithm AT moujieli identificationandclassificationofwaterabsorptionprofileofdistributedopticalfibervibrationsignalbasedonxgboostalgorithm AT xinchengli identificationandclassificationofwaterabsorptionprofileofdistributedopticalfibervibrationsignalbasedonxgboostalgorithm AT huaweiwang identificationandclassificationofwaterabsorptionprofileofdistributedopticalfibervibrationsignalbasedonxgboostalgorithm AT longmeitian identificationandclassificationofwaterabsorptionprofileofdistributedopticalfibervibrationsignalbasedonxgboostalgorithm AT ruideng identificationandclassificationofwaterabsorptionprofileofdistributedopticalfibervibrationsignalbasedonxgboostalgorithm |