Energy, Oil & Gas
Real-time monitoring and optimization of Energy, Oil & Gas assets and processes is critical and hard.
Knowing how remote assets are performing, predicting failure, improving asset utilization, and finding productivity enhancements in geographically disparate and sometimes challenging environments, whilst trying to maintain a faultless environmental and safety record, is a challenge for Energy, Oil & Gas companies - something Rayven's AI + IoT solutions is uniquely placed to help with.
Continuous real-time remote monitoring & management.
Operational efficiency, effectively meeting maintenance needs, as well as safety & environmental goals are all major concerns for the industry, with even minor problems potentially leading to serious financial, environmental, personnel and reputational losses.
Conventional monitoring and management approaches rely on technicians to carry out periodic routine inspections and maintenance or a whole host of different systems, but it is impossible to manually inspect remote sites and compare different data sources, let alone in real-time. In addition, unnecessary work exposes workers and the environment to additional hazards and is not an efficient use of resources.
The same is true for well and pad well site assets, which require regular monitoring, maintenance and data collection to comply with government directives.
Smart companies carry out maintenance and periodic human inspection only when an abnormality is detected, avoiding unplanned shutdowns and inefficient management of staff and materials. How do they do this? Through AI + IoT.
Discover new opportunities to improve energy & gas performance.
The simplicity and adaptability of Rayven's Energy, Oil & Gas AI + IoT solutions allows you bring together all of your KPIs into one place and discover new opportunities in real-time.
Detect leaks in real-time
Monitor pressure and flow continuously in real-time and use anomaly detection to identify changes in flow rates that may indicate the beginning of a leak or theft from a tank.
Reduce the risk of catastrophic failure by continuously monitoring key performance metrics of your assets in the field.
Predict maintenance needs
Centralized monitoring and continuous condition monitoring of in-service equipment will allow you when best to decide when and how your resources will visit a well head or remote pipeline location.
Every minute of downtime is a minute of output lost forever. Continuous monitoring allows proactive maintenance of your assets and better uptime.
Reducing maintenance costs, finding efficiencies and optimum run schedules, and enhancing people and asset performance will reduce overheads.
Rayven’s Oil & Gas AI + IoT solutions are infinitely flexible, inexpensive to scale, and can be easily adapted to incorporate additional use cases so that you can extend the benefits of Industry 4.0 across your organization.
Measurable outcomes for Energy, Oil & Gas companies.
Lower cost of maintenance-7%
Increased resource utilization+12%
Get a single source of truth for all your sites and assets.
Use machine learning, AI and programmed algorithms to monitor real-time data in Rayven's Energy, Oil & Gas AI + IoT solutions makes it easy to make better short and long-term business and production decisions.
Real-time asset view - see how individual assets are performing.
Field & asset alerts - get instant alerts of faults or issues.
Compare performance - with historical views.
Facility-level dashboards - understand your field instantly.
Rayven's key features:
Rayven’s Energy, Oil & Gas AI + IoT solutions are limitlessly flexible and is an end-to-end platform able to cater to every one of your business’ needs. With it, you can quickly adjust, iterate and grow.
Deploying purpose-built AI + IoT solutions has never been so simple. You can use our codeless platform to deploy custom Energy, Oil & Gas AI + IoT solutions, machine learning and predictive analytics easily.
Get started quickly and affordably. Rayven’s Energy, Oil & Gas IoT solutions’ simplicity means that you can test, iterate, learn and scale solutions that work, saving huge amounts of time and engineering costs.
Rayven’s Energy, Oil & Gas AI + IoT solutions are built with security as a top priority. Rayven’s proprietary security architecture ensures data is secure at all points of the IoT environment.
Amazing support and service
Our customer service sets us apart. On top of 24/7 support, our technical and data science team are always available to support you and your customers in any way.
Our AI + IoT platform, your brand. With Rayven, you have the control to custom design solutions which can then be fully white labelled to fit your brand’s very own look and feel.
Some of Rayven's Energy, Oil & Gas AI + IoT solutions' use cases:
Pipeline Monitoring & Leak Detection
Oil & Gas Pipeline Monitoring and Leak Detection
A leak can have disastrous consequences on soil and flora, as well as the bottom-line, plus the remote nature of these assets exposes them to the risk of theft and incurs high maintenance costs. This makes Rayven's AI + IoT solutions an ideal way to reduce costs, improve performance and improve HSE outcomes. Read More
Analytics, Condition & Performance Monitoring
Solar Analytics, Condition and Performance Monitoring
Our customer wanted to meet the demand for a faultless solar array performance and power generation IoT solution, which was also capable of improving the handling of maintenance issues which, at the time, was highly-inefficient. Read More
Monitoring & Fault Detection
Power Distribution Transformer Monitoring & Fault Detection
Discover how Rayven helped this utility to better monitor their electricity distribution network, speeding fixes and preventing failures. Read More
Monitoring & Predictive Maintenance
Pump Monitoring & Predictive Maintenance
Wastewater pumping stations are an intrinsic part of the sewerage network, raising sewerage from gravity-fed pits to extend transmission over longer distances. As such, they are often located in built-up urban areas, operate regularly and can quickly cause problems when they fail. Read More