Cloud-based asset intelligence to boost productivity in the workplace.
We put SCADA, sensor, and maintenance data, which were all over the place, in the cloud.
We used machine learning models that had already been trained on historical and live data to predict when equipment would wear out and find problems before they happened.
We created a cloud-based compliance framework that makes sustainability reporting easier and lessens the burden of compliance by automatically gathering operational data for environmental, safety, and governance (ESG) standards.
Oil and natural gas companies need to make sure their assets are as reliable, safe, and efficient as possible in a world where energy demand is rising and sustainability is a global concern. The next big change in our field is cloud-based intelligent asset analytics. It will let us act on useful information, make predictions, and manage a platform all in one place.
For our consulting services, we use expert knowledge in areas like the cloud, the Internet of Things (IoT), advanced analytics, and more. We help oil and gas customers use real-time data and AI-driven diagnostics to cut costs, avoid failures, and make decisions faster and better.
Why should you pick our asset analytics solutions?
- Secure cloud will connect all of your field devices, SCADA, and business systems without any problems.
- Dashboards that show what’s going on right now and alerts that tell you what’s going to happen with important system infrastructure.
- We have advanced analytics and AI models that can help you optimise your upstream, midstream, or downstream operations.
- Automated reports for compliance, ESG, and efficiency.
- Architecture changes with us as more businesses go online and their business models change.
In this high-stakes business world, your teams need to stop reacting to problems with essential assets and start predicting them.
A big oil and gas company has hundreds of important field assets in faraway places. The company had to deal with a lot of problems, like equipment breaking down unexpectedly, taking too long to fix problems, and not being able to get useful information from isolated operational data.
Our involvement.
We have gotten a lot of benefits from starting a cloud analytics transformation, and they are some of the best in the business.
- Real-time monitoring and a unified asset data platform.
- We moved sensor, SCADA, and maintenance data to the cloud in a safe and centralised way. The most recent development in IoT allows for automated data collection from drilling rigs, pipelines, and compressor stations, with a dashboard view of operations at both headquarters and field locations.
- There was a 70% increase in asset performance visibility. The average time it took to respond to an incident went up by 45%.
- Predictive maintenance and failure prevention powered by AI.
We used predictive analytics to predict when equipment would wear out and find problems before they caused failures. We did this by training machine learning models on both historical and real-time data. The cloud platform sent alerts about maintenance problems, which let field crews act before shutdowns and safety events became expensive.
Unplanned downtime went down by 37%, which saved 22% of the money spent on maintenance each year.
Automated ESG Reporting and Compliance with Rules
We made a cloud-based compliance framework that automatically collects the operational data needed for environmental, safety, and governance (ESG) compliance. This makes it easier to report on sustainability and lowers the burden of compliance. We use this system to make dashboards and automated reports that show us how we are doing in real time with respect to company and industry norms and standards. It pulls in data from sensors, maintenance logs, and how we work.
Forces autodoc with the least amount of work needed
This shows how emissions, safety incidents, and asset use compare to government and voluntary standards.
Pre-inspection compliance alerts keep risks from getting out of hand.
Outcome.
- The time it took to report to the government was cut by 60%.
- The accuracy of ESG metrics went up by 35%. This helped the business reach its goals for sustainability.
- Also, the accuracy made it less likely that you would get fined or have your business interrupted.
Business Results Achieved.
- A 70% increase in the ability to see how assets are doing and how well operations are running.
- There was a 37% drop in unplanned downtime.
- A 45% faster response to incidents makes safety and compliance better.
- Costs of maintenance go down by 22% each year.
- It gives you real-time information for planning.
More than 120 clients. Infinite Effect.
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© 2025 Neural Network™ | Attharva Enterprrises’ main innovation and technology arm.
Rahoul Joshii is the founder and director.
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