Condition assessment, remaining useful life prediction and life extension decision making for offshore oil and gas assets
I Animah, M Shafiee - Journal of loss prevention in the process Industries, 2018 - Elsevier
… the preliminary RUL estimated for offshore oil and gas equipment at … prediction models
such as Bayesian models, Cox model, regression models, etc. are then used to estimate the RUL …
such as Bayesian models, Cox model, regression models, etc. are then used to estimate the RUL …
An intelligent model to predict the life condition of crude oil pipelines using artificial neural networks
… , empirical correlations in terms of developing prediction models for CO 2 corrosion in … to
estimate the condition of the pipeline system. Finally, the remaining useful life (RUL) prediction …
estimate the condition of the pipeline system. Finally, the remaining useful life (RUL) prediction …
[HTML][HTML] Remaining useful life prediction of a piping system using artificial neural networks: A case study
NB Shaik, SR Pedapati, FABA Dzubir - Ain Shams Engineering Journal, 2022 - Elsevier
… RUL estimation system, where the technician interacts with the system. The capability of the
RUL estimation … The application of this developed neural network prediction model needs at …
RUL estimation … The application of this developed neural network prediction model needs at …
Deep learning health state prognostics of physical assets in the Oil and Gas industry
J Figueroa Barraza… - Proceedings of the …, 2022 - journals.sagepub.com
… requirements for constructing the prediction model. Zhang et al. … predict remaining useful life
(RUL) in bearings up to 6 h into … Fault diagnosis and remaining useful life estimation of aero …
(RUL) in bearings up to 6 h into … Fault diagnosis and remaining useful life estimation of aero …
[PDF][PDF] Prediction of Remaining Useful Life of mechanical components-a Review
T Salunkhe, NI Jamadar, SB Kivade - International journal of …, 2014 - researchgate.net
… of predicting RUL of a machine or a component. Some of the methods for predicting RUL
are … These models can give highly accurate and precise RUL estimation. In this case failure …
are … These models can give highly accurate and precise RUL estimation. In this case failure …
A recent review of risk-based inspection development to support service excellence in the oil and gas industry: an artificial intelligence perspective
T Aditiyawarman, APS Kaban… - … -ASME Journal of …, 2023 - asmedigitalcollection.asme.org
… injection production of RUL combined with the calculation of … ensemble of ML to predict the
RUL while minimizing human … performance of ML in the prediction model, and it lowers the …
RUL while minimizing human … performance of ML in the prediction model, and it lowers the …
[HTML][HTML] A feed-forward back propagation neural network approach to predict the life condition of crude oil pipeline
… The remaining useful life (RUL) of a pipeline is estimated … predictive model for assessing
the life condition of the crude … ranges were used to predict crude oil pipeline RUL such as (i…
the life condition of the crude … ranges were used to predict crude oil pipeline RUL such as (i…
A review: Data driven-based fault diagnosis and RUL prediction of petroleum machinery and equipment
D Ji, C Wang, J Li, H Dong - Systems Science & Control …, 2021 - Taylor & Francis
… been employed to estimate the current state and predict p-step-ahead state through a group
of particles with the purpose of estimating the probability density function of the RUL. More …
of particles with the purpose of estimating the probability density function of the RUL. More …
Remaining useful life estimation of structure systems under the influence of multiple causes: Subsea pipelines as a case study
B Cai, X Shao, Y Liu, X Kong, H Wang… - … on Industrial …, 2019 - ieeexplore.ieee.org
… hybrid physics-model-based and data-driven remaining useful life (RUL) … approach can be
used to predict the RUL. … , many corrosion prediction models have been developed by compa…
used to predict the RUL. … , many corrosion prediction models have been developed by compa…
[HTML][HTML] Lifetime prediction using a tribology-aware, deep learning-based digital twin of ball bearing-like tribosystems in oil and gas
PS Desai, V Granja, CF Higgs III - Processes, 2021 - mdpi.com
… a deep bidirectional gated recurrent unit (bi-GRU) prediction model to predict the RUL [24],
and a deep heterogeneous GRU model to forecast tool wear [25]. A few studies using data …
and a deep heterogeneous GRU model to forecast tool wear [25]. A few studies using data …