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...

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Main Authors: Yi Wang, Moujie Li, Xincheng Li, Huawei Wang, Longmei Tian, Rui Deng
Format: Article
Language:English
Published: Springer 2022-10-01
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.
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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