Oil&Gas IoT & AI on AWS


    Ronsys Tech's Oil&Gas IoT & AI implementation on AWS



The business of extracting and transporting oil and gas is filled with challenges. To stay competitive, companies in this industry must continually strive to produce crude oil and refined products at a lower cost. They are also constantly looking to enhance and extend the value of their existing assets while also searching for new oil and gas reserves. And environmental standards are becoming increasingly stringent, requiring transparency in operations and tighter controls on production and distribution.

To overcome these challenges, oil and gas companies worldwide are thinking creatively once again. Keep in mind that challenges like these aren't necessarily new to the oil and gas industry. For the past few decades, there's been a huge incentive to improve efficiencies and reduce downtime, which has led to the implementation of things like predictive analytics, IoT and machine learning.

Ronsys Tech (C2 Digitran) is helping the Oil and Gas industry with the implementation of IoT in Oil and Gas operations to form a sustainable business model. Our End-to-End comprehensive IoT solution for oil and gas, C2 Digitran, can provide multiple benefits by interconnecting devices like sensors and controllers in real-time to form an internet of devices (things) that make the communication among devices happen and collect real-time data to analyze and monitor the current state of the plant or the refinery. This enables the Oil and Gas industry to make real-time decisions, reduce equipment failure, increase safety, minimize downtime and reduce wastage, resulting in the complete plant automation Industry.

Our Oil&Gas IoT & AI features:

Monitoring the oil production at remote places and providing an actionable 
Insights using the collected data from oil wells.
Alerting for any change in pressures or oil production.
Service ticket and workflow integration.
Oil production and equipment failure prediction using historical data.
Entire solution is deployed on AWS cloud infrastructure.




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