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

An intelligent model to predict the life condition of crude oil pipelines using artificial neural networks

NB Shaik, SR Pedapati, AR Othman, K Bingi… - Neural Computing and …, 2021 - Springer
… , 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

[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 …

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 …

[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 …

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 …

[HTML][HTML] A feed-forward back propagation neural network approach to predict the life condition of crude oil pipeline

NB Shaik, SR Pedapati, SAA Taqvi, AR Othman… - Processes, 2020 - mdpi.com
… The remaining useful life (RUL) of a pipeline is estimatedpredictive model for assessing
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 …

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…

[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 …