New technologies make it possible to streamline every stage of large-scale upstream construction projects, from planning to execution. Using the latest Big Data and digital twin innovations, operators can estimate project parameters and predict potential bottlenecks more effectively. And through automated technologies like robotic welding machines and dump trucks, construction is becoming safer, faster and more cost-efficient.
Radar and video anti-collision system
Driving large trucks in open pit mines can risk collisions with other equipment as well as presenting significant safety hazards. This computer vision solution uses proximity sensors, RFID tags, radars, cameras and GPS to detect and activate systems such as sound alarms, brakes and steering when a vehicle is at risk of a collision.This is particularly useful because of the blind zones created by these large vehicles. The technology vastly reduces the probability of emergencies during manoeuvres in parking lots, dumps and places with a high volume of vehicles.
Robotic dump trucks
Dump truck fleets can now drive autonomously, thanks to a solution that combines GNSS navigation, machine vision and physical sensor technology to move along a route and avoid collisions. As well as improving safety by reducing the need for workers to drive in hazardous environments, this solution increases the efficiency of fleet use, reduces operational expenditure and boosts productivity.
Increase in productivity
Reduction in operational expenditure
Dump truck operations
Digital twin for project development
This solution creates a digital replica of an oil and gas facility’s operations, which enables all activities to be tested and optimised in a risk-free environment before applying them in the real world. The platform is used to plan and monitor project development, covering everything from data storage, performance management, 3D modelling, mapping, and real-time information sharing with subcontractors and OEMs. This helps estimate project parameters quickly, and also gives a better understanding of construction through model visualisation.
Reduced CAPEX spend
Reduced construction cost for EPC
Advanced analytics to optimise drilling
This advanced analytics solution enables drilling operators to maximise productive work time. Using machine learning, it advises operators on daily risks and performance optimisation opportunities, improving their understanding of their wells and operations. Its built-in machine learning models can predict well problems including circulation losses, fluid influx, stuck pipe and borehole instability. This can lead to increased productivity and a dramatic reduction in blow-out risk. It also acts as a single source of truth for drilling and completion engineers interacting between the well site and the office.
Estimating the costs of construction delays
Based on historical data, this tool estimates the cost of construction delays as well as modelling their impact on production parameters. The simulation software not only identifies where the bottlenecks are but removes them, delivering an implementation, monitoring and support roadmap for management. The software can also generate statistical information, test possible scenarios, conduct risk analysis and create dynamic views for optimisation and experimentation, all without interrupting ongoing operations.
Increased production due to debottlenecking initiatives
Income at risk due to construction delays already identified
Fleet location and performance tracking
Designed to optimise fleet management, this compact wireless multi-grade magnetic sensor device tracks the location and performance of individual vehicles. Containing a GPS tracker plus movement, heat and humidity sensors, it can be installed within one minute with no engineering work required and can also withstand temperatures from -40°C to +60°C. The vehicle’s movement and engine performance is tracked live and uploaded to the cloud through a wireless gateway device. Data from numerous vehicles is collated in a digital dashboard, allowing managers to track their entire fleet. The resulting insights help operators to minimise idling, reduce rental costs and increase productivity.
Increase in machine productivity
Decrease in machine rental cost
Robotic welding machines
Welding robots can improve the speed, quality and safety of large pipeline projects. The automated and autonomous machines have a high impact on scheduling, reducing welding times by 50% compared to manual execution. Automation also enhances the quality of the weld consistency, leading to savings on filler material and less rework costs. Just as important is the improvement to worker safety, with reduced exposure to hazardous fumes and less risk of eye damage, or arc burn.
Reduction in welding time compared to manual execution
Our team has decades of collective experience, spanning all areas of industrial operations.
Dr Nick Mayhew
Chief Commercial Officer
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