Technologies
As a driving force in the development of specialty welding and coating systems for onshore, offshore and energy transition and other critical infrastructure projects, we offer an extensive range of proprietary technology and specialist equipment for a variety of project applications.
Cutting edge, customisable technology
CRC Evans has a proud history of innovation, utilising our depth of knowledge, gained over many years of successful delivery, to overcome technical challenges that can arise during fabrication, construction and installation operations. With our experience and expertise, we can provide the right solutions at the right time.
Our fleet of specialist welding and coating equipment and advanced technologies, supported by our expert global teams, ensures that we can provide a broad range of services and bespoke solutions to meet our customers’ complex engineering requirements.
Harnessing Technology to Strengthen Pipeline Integrity and Transparency
Discover how CRC Evans fuses field expertise with AI, real-time data, and a single source of truth to elevate quality, traceability, and safety across the full pipeline lifecycle—without slowing delivery.
Committed to R&D, AI & Robotics
CRC Evans is committed to bringing the latest innovations to our customers with a talented team of in-house design and manufacturing specialists driving the development of cutting-edge technologies such as artificial intelligence and analytics, assisted defect recognition (ADR) and data-driven digital solutions.
Our bespoke technologies, equipment and processes are engineered to allow high speed, repeatable, high quality results whilst our automated solutions are designed to reduce material consumption and wastage, helping to minimise environmental impact.
We are continually developing our portfolio through scheduled R&D programmes and a talented team of engineers, a commitment that help to ensure that customers have access to the most effective, technically advanced solutions available.
Next-Generation Approach to Pipeline Data Management
We know the challenges around hidden weld defects or untraceable QA logs.
Our DATA 360 technology brings the digital innovation to energy & infrastructure data, automatically capturing each weld, coating job, and inspection in one place. From mobile dashboards to AI-enhanced insights, DATA 360 replaces siloed data silos with a unified, high-visibility analytics platform. By reducing downtime and manual effort, it helps teams stay proactive, compliant, and efficient.
DATA360 ensures every weld, coating pass, and inspection is recorded, validated, and retrievable safeguarding your integrity and credibility.
Technical Highlights
- Data Sources: Logs from welding, coating, inspection systems
- Connectivity: Long-range Wi‑Fi or field access
- AI Clustering: Auto-identifies passes and weld zones
- KPIs Tracked: Voltage, current, heat input, coating thickness, inspection results
- Reporting: Cloud dashboards with exportable PDF/CSV reports
- Access: Role-based permissions and secure encryption
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End-to-end data pipeline |
Analyses production parameters across CRC Evans’ equipment. |
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Unique joint tagging & GPS mapping |
Identifies & logs each weld by location. |
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AI-powered clustering algorithms |
Maps joint sequences & zones through spatial inference. |
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Custom analytics & reporting |
Visualises metrics – as per compliance needs. |
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Cloud access anytime-anywhere |
Enables remote teams to monitor data without manual exports. |
| Reduces inspection time | Dramatically reduces manual data processing & onsite inspector load. |
Our SmartLync advanced data-driven digital ecosystem is transforming pipeline construction with real-time data collection, reporting and seamless communication.
For transition energies & critical infrastructure
Mechanised welding offers a number of clear advantages over manual welding for high capacity, high accuracy welding scopes. It simplifies welders training, helping to reduce manpower demands in a supply constrained market and helping to increase welder productivity.
An increase in weld consistency across large scale projects helps to minimise welding repairs and reduce rework, helping to maximise production and efficiency.
Digital records through parameters recording supports quality assurance and QA/QC reporting for improved integrity management.
Our equipment
Single Torch External Welding System
The CRC Evans M500 Single Torch External Welding System delivers exceptional arc visibility, high-speed travel, and intuitive single-action installation. Onboard voltage and current sensing and adjustable head allows rapid head angle changes. The M-500 provides reliable and consistent weld quality enabling high production rates and helping to reduce operational time and cost.
Computerised Welding Machine
The CRC Evans P625 external welder is a dual torch external welding system offers consistent welding parameter quality control, and provides users with 32 programmable welding passes per torch. In addition, this welding machine offers both horizontal and vertical tracking to maintain the center of the bevel and tip to work distance.
Laser Pipe End Measurement System
The CRC Evans Laser Pipe End Measurement System (SCIO) ensures accurate alignment where minimum high-low is requested, such as CRA or SCR pipelines without counter boring. Analysis of the measurement is can estimate high-low in a random pipe sequence, with optimisation of pipe alignment to improve project time and efficiency.
Internal Welding Machine
The CRC Evans Internal Welding Machine (IWM) is a combination internal clamp and automatic multi-head internal root pass welding system. Available in two variations – barge or offshore applications, or land or standard pipeline right of way. A self-contained low voltage electrical source provides power for the shielding gas, air control valves, ring drive and wire feed motors. The self-contained pneumatic system operates the travel motors, brakes, drive wheels, aligners, and front and rear clamping shoes.
Our in-house R&D, technologies and engineering teams are here to support your projects.