Designed for the transfer of heat from one fluid to another, heat exchangers play a critical role in the safe and smooth operation of oil & gas machinery. A heat exchanger rupture is among the top risks for upstream production facilities and LNG plants. Heat exchanger leaks can be caused by several factors including corrosion, vibration and variability of hydraulic load. The exchangers are operated within the industry-standard Nelson curve and API safety protocols, but compliance alone cannot predict and prevent damage to components and avoid the significant cost of downtime.
Arundo worked with a leading National Oil Company (NOC) to develop and implement a condition-based monitoring solution for heat exchangers that detects the subtle precursors to failure, allowing the company to stay ahead of downtime with just-in-time maintenance scheduling. Utilizing real-time data, Arundo monitors and analyzes equipment temperatures, hydrocarbon flow rates, pressure, and other parameters to understand and assess the risk of heat exchanger leakage. Arundo developed a proprietary algorithm to calculate a numerical risk score based on historical asset performance parameters and external data. When key operating metrics (e.g. hydraulic load) reach a certain risk threshold, the Arundo system alerts both on-site safety managers and a central control center, where managers can accurately assess the risk and recommend the appropriate course of action.
During the data assessment phase of the project, the Arundo team identified an essential relationship between excess gas flow patterns and the risk of heat exchanger leakage. During the analytic pilot phase, the Arundo system identified recurring anomalies isolated to a specific group of sensors at multiple locations, which led to the immediate inspection and replacement of several aging heat exchangers. The project is currently in final validation. Leveraging and promoting the use of this solution, the customer hopes to help drive the industry towards a new set of improved safety standards and practices.
Extracting and analyzing asset performance and equipment failure rates
Suite of software analytics to benchmark performance
Reduced non-productive drilling time, increased asset utilization, lower operating and maintenance costs
Learn how we are helping a shipowner and operator reduce fuel consumption, reduce OPEX, improve port turn-around time and empower the crew to make better decisions.Read Full Article
Learn how we helped an offshore crane manufacturer be a trusted service provider implementing a proactive approach to maintenance routines and equipment monitoring using data science and analytics.Read Full Article
Learn how we safely reduced a ships' on-vessel water quantity by 15%, leading to significantly decreased fuel usage and increased cargo space.Read Full Article
Determining the quality of smart meter installations are often difficult without physical site presence and local electrical testing. Learn how we solved it for a European power utility.Read Full Article
An international oil and gas company had trouble with their asset performance and equipment failure rates. Learn how our solution reduced non-productive drilling time.Read Full Article
A large national oil company had reactive repairs and supply chain decisions resulting in high rig non-productive time. Learn how we used forecasting product to predict and optimize repair routes.Read Full Article
A leading oil and gas company wanted to reduce hazardous leakage risk on their heat exchangers. Learn how we used condition-based monitoring to detect subtle precursors to failure.Read Full Article
A large oil company sought to reduce yearly equipment maintenance cost by 10%. Learn how we solved it using a condition-based monitoring solution for gas compressors.Read Full Article