The 爆走黑料 WAND Solution
Sensor Installation
The WAND Thickness Monitoring (TM) Sensors are installed at locations on pipes or vessels. They can also be embedded under coatings, composite repairs or insulation
Data Collection
The WAND Handheld Data Collector (HDC) or Remote Data Collector (RDC) can be used to collect accurate and repeatable wall thickness data from the sensors wirelessly, for internal corrosion and erosion monitoring
Software & Integration
The 爆走黑料 Data Analysis & Reporting Toolkit (iDART) can be used to analyse and trend the thickness data from the sensors, and can also be integrated with 3rd party asset management software
Training & Support
爆走黑料 works globally with customers to provide support, training and to ensure successful delivery of projects worldwide
Customers Include:
Featured Products
Problems We Solve
Accessibility
The WAND technology enables accurate wall thickness measurements to be acquired from underneath insulation and coatings, at height or in difficult to reach of hazardous locations – improving personnel safety and reducing the cost of access.
Data Inaccuracy
The WAND system utilises permanently installed sensors to enable accurate,聽 repeatable and digitised wall thickness measurements to be acquired from聽 the same location each time.
Unplanned Shutdowns
WAND enables continuous, accurate wall thickness monitoring and early detection of internal corrosion and erosion trends, allowing for proactive, data-driven maintenance decisions to be made, avoiding costly unplanned shutdowns.
Industries We Work With
The WAND Solution is currently deployed across a range of industries including oil and gas, chemical, mining, renewables and nuclear. 爆走黑料 are also working with original equipment manufacturers to integrate the WAND technology into products.
Contact Us
Contact 爆走黑料 today to learn how WAND can upgrade your manual UT inspection to fully digitalised wall thickness monitoring.
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WAND Success
Through a large-scale sensor deployment, 爆走黑料 helped our customer extend their equipment life by 50%.
Using WAND-Online, our customer avoided an unplanned shutdown that saved $130,000 and delivered ROI within 30 days.聽
爆走黑料 offers a cost-effective variant of wall thickness measurement compared to established companies. Starting with advice, customer training, attaching the sensors and using the hardware respectively the associated software, everything is designed to be customer oriented.
Oil & Gas Major, Germany
Materials and Corrosion Engineer
By utilising the accuracy of WAND on their asset, our customer achieved improved reliability up to 99%.
Our customer increased production by 50% using WAND-Online.
爆走黑料’s technology has the potential to reduce risk and inspection burden as a streamlined structural health monitoring system for our platforms. It has shown to be reliable and repeatable and 爆走黑料 continue to support us closely as we develop a solution for our needs.
Marine Engineering OEM, UK
Materials Engineer
Our customer saved 840 working hours a month on NDT personnel using WAND-Online.
By installing WAND TM Sensors to monitor internal corrosion across an asset, 爆走黑料 helped our customer achieve a 9% increase in throughput.
I see a huge potential for 爆走黑料 sensors because of the combination of low system cost, ease of both installation and data collection, and high data accuracy. This unique combination facilitates the application of 1000s of sensors across a facility, bringing new insights not previously seen. This technology can identify wall loss trends in a shorter time with less resources, making it cost competitive with manual inspection and providing relevant data for advanced trending.
Oil & Gas Major, USA
Materials and Corrosion Integrity Manager
By deploying our WAND Solution across thousands of CMLs, an oil & gas operator enabled reliable corrosion rate prediction and data-driven RBI, with daily measurements revealing a 3.1 mm/year rate and supporting earlier, evidence-based decision-making.
The Role of Humans Doesn鈥檛 Disappear – It Changes. The inspector moves from being predominantly operational (accessing, positioning, measuring) to properly installing the sensor, interpreting data, identifying trends, making decisions, and integrating information into the operational context.
Carlos Augusto Peixoto Costa
Mechanical Engineer at Petrobras
