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Related Concept Videos

Single Pipe Systems01:24

Single Pipe Systems

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In pipe flow analysis, problems are typically categorized into three types — Type I, Type II, and Type III — based on the known parameters and the desired outcome. Each type of problem addresses specific engineering requirements using fluid properties, pipe characteristics, and operational conditions.
In a Type I problem, fluid properties (density and viscosity), pipe characteristics (including diameter, length, and surface roughness), and the flow rate or average velocity are...
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Distribution Reliability and Automation01:25

Distribution Reliability and Automation

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Distribution reliability in electrical power systems is critical for ensuring an uninterrupted power supply to consumers at minimal cost. According to IEEE Standard Terms, reliability is the probability that a device will function without failure over a specified time period or amount of usage. For electric power distribution, this translates to maintaining continuous power supply and addressing customer concerns over power outages. Several indices, as defined by IEEE Standard 1366-2012, are...
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Fast Decoupled and DC Powerflow01:24

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The fast decoupled power flow method addresses contingencies in power system operations, such as generator outages or transmission line failures. This method provides quick power flow solutions, essential for real-time system adjustments. Fast decoupled power flow algorithms simplify the Jacobian matrix by neglecting certain elements, leading to two sets of decoupled equations:
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Design Example: Aggregate Gradation01:24

Design Example: Aggregate Gradation

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The right type and quality of aggregates are crucial for concrete as they significantly influence its properties, mix proportions, and cost-effectiveness. If different sources are available for sand, the commonly used fine aggregate in concrete, the selection of sand is primarily based on its gradation.
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Multimachine Stability01:25

Multimachine Stability

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Multimachine stability analysis is crucial for understanding the dynamics and stability of power systems with multiple synchronous machines. The objective is to solve the swing equations for a network of M machines connected to an N-bus power system.
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Multiple Pipe Systems01:21

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Multipipe systems consist of complex configurations of interconnected pipes designed to transport fluids efficiently across intricate networks. They are essential in engineering applications requiring precise control over flow distribution, pressure, and head loss. They are categorized into series, parallel, loop, and network configurations, each distinguished by unique flow characteristics and applications.
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Ammonia Synthesis at Low Pressure
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A method for failures grouping and priority ranking case study: Operating gas compression plant.

Mohamed Hussein M Faris1, Elamin Elhussein2, Hassan Osman Ali1

  • 1Mechanical Engineering Department, Sudan University of Science and Technology, Khartoum 11111, Sudan.

Methodsx
|August 26, 2021
PubMed
Summary

This study introduces two methods for ranking gas compression plant failures: Total Down Time Importance (TDTI) and Risk Priority Number (RPN). These models aim to reduce downtime and enhance safety in critical oil and gas operations.

Keywords:
Gas compression plantsMaintenance engineering and managementModern maintenanceRisk priority numberTotal down time importance

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Area of Science:

  • Petroleum Engineering
  • Industrial Safety
  • Risk Management

Background:

  • Gas compression plants are vital in oil and gas, handling high gas volumes for fuel, processing, and reservoir pressure maintenance.
  • These plants are hazardous environments due to high pressure, temperature, and gas properties, posing risks to safety, environment, and revenue.
  • Effective maintenance management is crucial for minimizing downtime and improving operational safety and efficiency in gas plants.

Purpose of the Study:

  • To develop and present a failure ranking and sorting model for gas compression plants using Total Down Time Importance (TDTI).
  • To introduce a failure ranking model utilizing the Risk Priority Number (RPN) based on associated risks.
  • To compare TDTI and RPN methods, highlighting differences for operational attention in gas plant maintenance.

Main Methods:

  • Failure data analysis from a working gas compression unit in an active oil and gas field.
  • Development of a Total Down Time Importance (TDTI) grouping model for failure ranking.
  • Application of the Risk Priority Number (RPN) method for failure prioritization based on risk assessment.

Main Results:

  • The study presents a TDTI model that ranks failures by their contribution to total downtime.
  • The RPN model prioritizes failures based on their associated risks.
  • A comparative analysis of TDTI and RPN methods is elaborated, identifying key differences.

Conclusions:

  • Both TDTI and RPN offer valuable insights for gas compression plant maintenance.
  • TDTI focuses on actual downtime impact, while RPN addresses inherent risks.
  • Understanding the differences between these ranking methods is essential for optimizing plant safety and efficiency.