Bring it all together with PIRAMID
Software to Manage All of Your Pipeline Integrity Threats
Daniel Fujinaga shares the upcoming features of PIRAMID including historical models, structural reliability models, and focus areas such as hydrogen and CO2, life safety risk evaluations, deterministic model improvements, and the next-gen hit rate fault tree model.
PIRAMID is a risk-based integrity assessment and maintenance planning software tool for pipelines.
PIRAMID can assist you in all aspects of evaluating and managing pipeline integrity including:
- Assessing pipeline risk
- Evaluating factors that impact pipeline risk
- Managing defects and planning mitigation activities
- Communicating risk results to stakeholders
Discover What’s Ahead with Our PIRAMID Road Map
From major Desktop releases to cutting-edge Enterprise enhancements, this road-map outlines major updates and partner-driven product improvements.
PIRAMID's Advantage
Best-practice Approach
PIRAMID’s probabilistic models represent the best-practice to simulate probability of failure based directly on your data.
PIRAMID combines purely quantitative outputs with the flexibility to use structural reliability or historical data as a modelling basis for all integrity threats.
Reliable Results
PIRAMID uses verified engineering models and the robust Monte-Carlo simulation method based on C-FER’s 35 years of industry-leading R&D.
PIRAMID’s models have been uniquely validated through simulation of 3.5 million mile-years of pipeline operation.
Trusted by Industry and Regulators
PIRAMID’s models have been used extensively in the development of the CSA Z662 standard, helping to define, calibrate and guide risk and reliability assessments across industry.
Key Features
Assess All Threats
With over 25 quantitative probability and consequence models, PIRAMID covers all major integrity threats and failure hazards.
What-if Scenario Analysis
Quantify how inspections, repairs, hydrotests or any other mitigative action will affect risk levels.
Flexible Framework
Combine probability and consequence models to suit each assessment’s scope.
Comprehensive Analysis Views
Evaluate safety, environmental and financial risks with a variety of output formats.
Import Assistance
Use built-in tools to pull from external sources and format for risk assessments.
Support and Documentation
All licenses come with detailed documentation of PIRAMID underlying research and support from C-FER’s engineering team.
Deployment Options
PIRAMID Desktop
As a standalone, on-premise application, PIRAMID Desktop provides a powerful tool for pipeline integrity engineers to pull data from external sources and develop detailed assessments and mitigation plans for their pipeline systems.
PIRAMID Enterprise
To deploy quantitative risk management across your organization, PIRAMID enterprise offers an integrated and centralized system of software components customized by C-FER to:
- Automatically import and map data from existing sources
- Store all QRA data in a centralized database
- View results on an online portal with role-based experiences
- Automatically perform risk calculations when new data is created
PIRAMID Partners
C-FER works with other service providers to integrate PIRAMID’s underlying risk modules into a variety of software packages, allowing you to take advantage of quantitative risk without needing a separate product.
PIRAMID License Add-Ons
- An annual maintenance and support plan providing access to all new features and fixes as well as continued support from C-FER’s dedicated pipeline integrity team
- Training courses on the PIRAMID software and/or risk assessments in general
- Options to build new or customize existing PIRAMID models
- Implementation support to map existing data sources to PIRAMID inputs
Daniel Fujinaga, BSc
Engineering Manager, Integrity Management & Structures
Daniel Fujinaga the engineering manager for C-FER’s Integrity Management & Structures department. He holds a Bachelor of Science in Materials Engineering from the University of Alberta. Daniel’s expertise includes cathodic protection, materials engineering and data analysis.
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