News & Media

Stay up to date with the latest news, insights, and industry collaborations from the world of KenWave—where innovation meets pipeline assessment.

Binnies Supports Thames Water with KenWave

Binnies are delighted to be supporting Thames Water to better understand the condition of their clean water network.

Binnies have successfully delivered the first two phases of pipeline condition assessment surveys using the innovative Dynamic Response Imaging™ technology from our strategic partners KenWave Solutions Inc.

Following successful independent validation of our results, we were awarded full scope of 733 survey locations to be conducted this year.  The surveys are non-invasive, non-destructive and applied without any interruption to service.  All pipe materials and diameters are surveyed using a single technology solution without the need for any enabling work.

The high accuracy and high resolution of the pipeline structural thickness results will keep Thames Water at the forefront of pipeline assessments and enable them to better target mains renewal investment to deliver a sustainable level of service for customers.

Thanks Stuart White, Chris Steele and the Binnies team! You are a great partner and we are proud of the work you are doing to help Thames Water manage their pipelines.

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Uzbekistan Pipeline Condition Assessment Project

KenWave worked alongside SUEZ and Toshkent shahar suv ta’minoti to assess approximately 2.7 kilometres of critical water pipelines in Tashkent, Uzbekistan. Using DRI™, the team collected high-resolution condition data across steel and cast iron pipelines ranging from 400 mm to 800 mm without disrupting normal operations.

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Peer-Reviewed Pipeline Condition Assessment Research

Two peer-reviewed papers presented through ASCE Pipelines 2026 explore the use of Dynamic Response Imaging (DRI™) for assessing critical buried pipelines. Drawing on real-world applications involving prestressed concrete cylinder pipe and asbestos cement pipe, the research demonstrates how measured condition data can support more confident asset management decisions.

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