Piping Engineer

Piping covers very large part of any process plant. If you look at Oil Exploration platform, Refinery and Petrochemical complex one thing that catches the attention is a complex network of piping. Piping is used to transport various process materials from one equipment to another. But why?

Process Plant is a place where a series of activities performed in particular ordered to convert raw material into a useful product and interconnected pipe and pipe components are used to transport raw material, intermediated product and final product to the desired location. Piping components such Pipe, Elbow, Tee, Reducer, caps, flanges, gasket, and Valves are the basic building of Oil & Gas industries.

Learn about Fundamentals of Pipes, Manufacturing Methods and Inspection & testing.

Reliability centered maintenance (RCM) has a key role in the quality system of thermal power plants. Electricity production is definitely not only production of a product, but also becomes a customer service. Reliability is the top quality tier of this service. Incorporation in the Integrated energy system means fast transformations of organization on all levels. The reliability of modern generation components basically influences the efficiency and capacity of a power plant as a whole. This paper presents the results of RCM practice on Unit Two of The Thermal Power Plant ″Nikola Tesla -B″, 2x600 MW, Yugoslavia. RCM implementation on current problems during exploitation emphasized problems with the boiler tubing system. The methodological approach included outages analyses, marking of the most significant ones, determination of main causes of damage (determination of the material exhaustion state based on expert analyses), application of adequate remaining life assessment methodology and finally the recommendations. Based on these analyses, certain technical solutions were performed and as a result, the mean time between failures of the plant increased, as well as its reliability. According to cost efficiency, RCM methodology presented the most effective cost-benefit method for reliability upgrade.

This paper presents a powerful machine learning (ML) model called isotonic regression to predict the corrosion growth process in the oil and gas pipelines. The paper mainly aims to show the powerfulness of this model in predicting corrosion depth in the pipeline. The isotonic regression model is selected in this study because it is a non-parametric model that can be freely shaped without assuming any shape of target function to overcome the highly stochastic nature of the corrosion growth mechanism. The other reason, the isotonic regression model is also designed to predict the monotonic increasing degradation mechanisms such as corrosion. The paper also evaluates three machine learning models used in regression analysis: linear regression, isotonic regression, and power regression based on the actual corrosion depth data collected from five sensors attached to the studied pipeline. Jupyter notebook is used in the evaluation process of each ML model performance. Four types of prediction accuracy metrics are used to calculate the prediction performance of each ML model, such as mean absolute error (MAE), mean squared error (MSE), root mean square error (RMSE), and R-squared. This paper finds that the isotonic regression model is promising to overcome the complexity issue associated with the corrosion depth prediction application as the corrosion growth nature is associated with high uncertainties, stochastic, and randomness. Finally, this paper recommends utilizing this model by the pipeline operators in the oil refineries in order to have an effective predictive maintenance plan that avoids the need for more complex maintenance activities and maximizes the pipeline's usage.

I have about 10 years various international experiences in FEED, EPC and EPCM in Oil & Gas and Offshore projects as engineer-mechanical. I acquired analytical and proficient skills in AutoCAD 2009 & Bentley AutoPipe. Also I have very good practical experience in Structural design and construction of Oil & Gas modern equipment.

This paper proposes a general model to predict thecorrosion growth process over time in the pipeline andcombined with the Monte Carlo simulation (MCS) to assess thepipeline's reliability. Although several models have beenproposed to capture corrosion behavior in the pipeline, thelinear corrosion growth rate model is widely used due to itssimplicity and capability to predict the corrosion process overtime despite the scarcity of more detailed pipeline information.Therefore, we propose a linear model, but it differs from theexisting linear corrosion growth models where it is applicableto include multiple in-line inspection datasets. The proposedmodel is called multiple in-line inspections (M-ILIs) based-linear corrosion rate model. Also, this paper is conducting acomparative study of the M-ILIs model with the other threecommon existing linear models, such as single-value (SV)corrosion rate model, single in-line inspection (S-ILI) based-linear corrosion rate model, and two in-line inspections (T-ILIs)based-linear corrosion rate model. The results demonstrate thesuperiority of the proposed model over other models, especiallyfor long-term prediction, where it gives more accurateprediction outcomes, which makes the M-ILIs modelencouraging and could be useful for reliability analysts andmanagers to utilize it in corrosion prediction regarding buriedoil and gas pipelines.

Reliability centered maintenance (RCM) has a key role in the quality system of thermal power plants. Electricity production is definitely not only production of a product, but also becomes a customer service. Reliability is the top quality tier of this service. Incorporation in the Integrated energy system means fast transformations of organization on all levels. The reliability of modern generation components basically influences the efficiency and capacity of a power plant as a whole. This paper presents the results of RCM practice on Unit Two of The Thermal Power Plant ″Nikola Tesla -B″, 2x600 MW, Yugoslavia. RCM implementation on current problems during exploitation emphasized problems with the boiler tubing system. The methodological approach included outages analyses, marking of the most significant ones, determination of main causes of damage (determination of the material exhaustion state based on expert analyses), application of adequate remaining life assessment methodolog...

This paper presents a numerical change in the mechanical vibrations of conditions. Finite Element Analysis models with their attached inlet and outlet feeder pipes noise forcing function and the corresponding to compare the vibration response with the support point (Off-bearing). Two types of excitations are considered; f fitting excitations. The finite element calculate the ratio between the feeder vibration journal ring support. It is observed that levels is 20% with the feeder bend excitation the end-fitting excitation. It is also observed that the bends excitation did not significantly change excitation results showed a reduction in the calculated INTRODUCTION Fuel channels (FC) on typical rings to allow for axial creep elongation reactor faces to control the axial position of the fuel channels and feeders model showing the end the support points on the east and west end locked using a welded stop collar allowing the fuel channel to elongate axially in the east dire prevent east...

The paper proposes a general model to predict thecorrosion growth process over time in the pipeline andcombined with the Monte Carlo simulation (MCS) to assess thepipeline's reliability. Although several models have beenproposed to capture corrosion behavior in the pipeline, thelinear corrosion growth rate model is widely used due to itssimplicity and capability to predict the corrosion process overtime despite the scarcity of more detailed pipeline information.Therefore, we propose a linear model, but it differs from theexisting linear corrosion growth models where it is applicableto include multiple in-line inspection datasets. The proposedmodel is called multiple in-line inspections (M-ILIs) based-linear corrosion rate model. Also, this paper is conducting acomparative study of the M-ILIs model with the other threecommon existing linear models, such as single-value (SV)corrosion rate model, single in-line inspection (S-ILI) based-linear corrosion rate model, and two in-line inspections (T-ILIs)based-linear corrosion rate model. The results demonstrate thesuperiority of the proposed model over other models, especiallyfor long-term prediction, where it gives more accurateprediction outcomes, which makes the M-ILIs modelencouraging and could be useful for reliability analysts andmanagers to utilize it in corrosion prediction regarding buriedoil and gas pipelines. (PDF) Predicting Corrosion Growth and Reliability of the Oil Pipeline. Available from: https://www.researchgate.net/publication/356450452_Predicting_Corrosion_Growth_and_Reliability_of_the_Oil_Pipeline [accessed Apr 28 2022].

The service lift of thick-walled power plant components exposed to creep, as is the case with pipelines of fresh- and reheated steam, depend on the exhaustion rate of the material Plant operation at elevated temperatures and at temperatures below designed temperatures all relates to the material exhaustion rate, thus complicating remaining life assessment, whereas the operating temperature variation is a most common cause in the mismatching of real service and design life. Apart from temperature, the tube wall stress is a significant variable for remaining life assessment, whose calculation depends on the selected procedure, due to the complex pipeline configuration. In this paper, a remaining life assessment is performed according to the Larson-Miller parametric relation for a phi 324 x 36 pipe bend element of afresh steam-pipeline, made of steel class ICr0.3Mo0.25V, after 160.000 hours of operation. The temperature history of the pipeline, altogether with the pipe bend, is determined based on continuous temperature monitoring records. Compared results of remaining life assessment are displayed for monitored temperature records and for designed operating temperature in the same time period. The stress calculation in the pipe bend wall is performed by three methods that are usually applied so to emphasize the differences in the obtained results of remaining life assessment.

Corrosion growth is a common phenomenon that threatens the pipeline and leads to the pipeline's failure through leakage or rupture, leading to human and environmental disasters. Therefore, several models have been proposed to capture the corrosion growth process over time to provide accurate prediction outcomes. In the existing literature, the power-law model is the widely accepted model to expect the corrosion depth over time. However, this paper presents the isotonic regression model that has not been studied in the existing literature regarding the corrosion growth prediction. The results show the superiority of the isotonic regression model in predicting the corrosion growth over time, where it gives better accurate prediction outcomes. A numerical example is introduced to illustrate the comparative study of the power-law model and the isotonic regression model. This paper finds that the isotonic regression model is encouraging and could be useful for reliability analysts and managers to utilize it in corrosion prediction regarding buried pipelines.