Development of cost-effective composite repair system for oil/gas pipelines

Mahdi, E.; Eltai, E.O.

doi:10.1016/j.compstruct.2018.04.025

Cited by 59 publications

(31 citation statements)

References 7 publications

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“…For example, it has been reported that over €2.2B are spent yearly repairing unexpected failures in the wind turbine industry [11], while maintenance services can represent up to 35% of the total power generation costs. In the United States alone, remediating corrosion damage in oil and gas pipelines costs over $2 billion [12]. On the other hand, manufacturers are expected to spend over $7 billion per year recalling and renewing defective products [13].…”

Section: Introductionmentioning

confidence: 99%

Big Machinery Data Preprocessing Methodology for Data-Driven Models in Prognostics and Health Management

Cofre-Martel

Droguett

Modarres

2021

Sensors

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Sensor monitoring networks and advances in big data analytics have guided the reliability engineering landscape to a new era of big machinery data. Low-cost sensors, along with the evolution of the internet of things and industry 4.0, have resulted in rich databases that can be analyzed through prognostics and health management (PHM) frameworks. Several data-driven models (DDMs) have been proposed and applied for diagnostics and prognostics purposes in complex systems. However, many of these models are developed using simulated or experimental data sets, and there is still a knowledge gap for applications in real operating systems. Furthermore, little attention has been given to the required data preprocessing steps compared to the training processes of these DDMs. Up to date, research works do not follow a formal and consistent data preprocessing guideline for PHM applications. This paper presents a comprehensive step-by-step pipeline for the preprocessing of monitoring data from complex systems aimed for DDMs. The importance of expert knowledge is discussed in the context of data selection and label generation. Two case studies are presented for validation, with the end goal of creating clean data sets with healthy and unhealthy labels that are then used to train machinery health state classifiers.

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Section: Introductionmentioning

confidence: 99%

Big Machinery Data Preprocessing Methodology for Data-Driven Models in Prognostics and Health Management

Cofre-Martel

Droguett

Modarres

2021

Sensors

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“…Fiber-reinforced polymer (FRP) composites are frequently utilized in the chemical industry for pipelines and storage tanks [ 26 , 27 , 28 ]. Although they offer protection against corrosion, they are limited to low to moderate pressure applications [ 29 ] and suffer from cracking and mechanical failures. Experts in the oil and gas industry agree that future transmission pipelines will have to operate at higher pressures and decrease the cost of corrosion.…”

Section: Introductionmentioning

confidence: 99%

“…Most of the reported studies focused on the corrosion behavior of coated carbon steel with polymers and corrosion inhibition materials [ 30 , 31 , 32 , 33 ]. More recently, pipes made of steel with external warps of glass or carbon-based composite layers have been introduced [ 29 ]. The idea behind the external layers of composite materials is to prevent/eliminate external corrosion and add extra mechanical strength to the pipe [ 34 ].…”

Section: Introductionmentioning

confidence: 99%

External Corrosion Behavior of Steel/GFRP Composite Pipes in Harsh Conditions

2021

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In this study, we report on the corrosion behavior of hybrid steel/glass fiber-reinforced polymer (GFRP) composite pipes under harsh corrosive conditions for prolonged durations. Specimens were immersed in highly concentrated solutions of hydrochloric acid, sodium chloride, and sulfuric acid for durations up to one year. Detailed qualitative analysis using scanning electron microscopy (SEM), X-ray diffraction analysis (XRD), and energy-dispersive X-ray spectroscopy (EDX) is presented. It is shown that the hybrid pipes have excellent corrosion resistance with a corrosion rate of less than 1% of the corrosion rate for conventional steel pipes. That low corrosion rate can be attributed to the formation of pores in the GFRP layer due to increased absorption and saturation moisture in the material with increased soaking time. This can be reduced or even prevented through a more controlled process for fabricating the protective layers. These promising results call for more utilization of GFRP protective layers in novel design concepts to control corrosion.

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“…Several techniques could be used for manufacturing FRP pipes, [1,5,9,12,14,15]. Among them, roll wrapping technology is interesting, since it opens up a new field of application: the reparation of steel pipes [5,[16][17][18]. The use of this approach for repairing pipes could overcome the main problems of the traditional methods, as well as offering better resisntance and performance [16].…”

Section: Introductionmentioning

confidence: 99%

Digital image correlation and reliability-based methods for the design and repair of pressure pipes through composite solutions

García-Martín

López-Rebollo

Sánchez-Aparicio

et al. 2020

Construction and Building Materials

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This work aims to develop an approach for the reliability-based analysis for the design and repair of pressurized pipes by means of composite solutions. To this end, the approach uses a simulation method to estimate the failure probability of the solution based on the Monte Carlo approach and a Polynomial Chaos Expansion surrogate metamodeling strategy. This combination allows us to reduce the computational time required for evaluating the system´s probability of failure as well as extracting the Sobol' indices during the sensitivity analysis stage. The uncertainties related with the composite solution were obtained by means of the Digital Image Correlation approach, allowing us to extract the Probabilistic Distribution Functions (PDF) of its main mechanical parameters. This methodology is validated through the design and repair of a pressurized pipe using a carbon fiber solution and roll wrapping technology. The results show the strong potential of the proposed methodology for the safety evaluation of pressurized composite pipes.

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Development of cost-effective composite repair system for oil/gas pipelines

Cited by 59 publications

References 7 publications

Big Machinery Data Preprocessing Methodology for Data-Driven Models in Prognostics and Health Management

Big Machinery Data Preprocessing Methodology for Data-Driven Models in Prognostics and Health Management

External Corrosion Behavior of Steel/GFRP Composite Pipes in Harsh Conditions

Digital image correlation and reliability-based methods for the design and repair of pressure pipes through composite solutions

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