Oil and Gas
Pipeline and facility risk ranking, corrosion-driven forecasting, and RBI interval planning.
Try RBR's online application platform to analyze your facility piping and equipment:
Every sector has different failure mechanisms and compliance pressures. We tailor reliability models and inspection strategies to your operating context.
Pipeline and facility risk ranking, corrosion-driven forecasting, and RBI interval planning.
Asset integrity analytics aligned with safety, reliability, and net-zero roadmap priorities.
Condition-based planning for critical networks, treatment assets, and long-life infrastructure.
Probabilistic reliability modeling to optimize maintenance windows and reduce downtime risk.
Engineering-led analytics services designed to improve inspection quality, maintenance outcomes, and operational resilience.
To Determine Reliability-Based Asset Condition
To Support Risk-Informed Decision Making
Enhance Reliability & Reduce Risk
Optimize Asset Management Strategy
Reduce Financial implications
Increase Health & Safety
Reduce Negative Environmental Impact
Increase Operational Efficiency & Reduce Downtime
Increase & Maintain a Positive Public Reputation
We help you process your asset and failure data. We use your asset specifications, classify and apply your failure data, and provide statistical approaches to resolve existing data gaps, and implement the best practices and industry-leading solutions in the absence of historical data.
We use statistical approaches to determine the failure behaviour of your assets. We apply life data analysis in the presence of historical failure data and structural reliability theory in the absence of data.
We customize our unique reliability tools (RBI and AH) based on your needs and requirements to help you determine the current and future conditions of your assets, identify failure projections, plan risk-based inspections, and optimize inspection intervals.
We deliver detailed and comprehensive reports that will help you with risk-informed decision-making, capital and O&M planning, and regulatory audits.
We are professional engineers and data scientists focused on reliability decisions for asset-intensive organizations. Our team combines field experience with statistical modeling to support safer operations, lower lifecycle risk, and clearer capital and maintenance planning decisions.
Risk-Based Reliability combines asset data, failure behavior, and consequence modeling to prioritize inspections, maintenance, and investment decisions.
Yes. The methodology supports both data-rich and data-limited environments using statistical inference, probabilistic modeling, and industry-aligned assumptions.
Typical outcomes include clearer inspection intervals, risk reduction opportunities, optimized maintenance planning, and stronger support for regulatory audits.
Tell us your asset profile and current challenges. We will scope a practical pathway for RBI, asset health, and predictive planning.