Predictive Maintenance in Oil & Gas Sector

The goal is to plan maintenance at the most convenient and cost-effective time possible while considering the operation goals of the process; this can maximize the equipment’s lifespan while preventing unplanned downtime.

Data capture, storage, transformation along with condition monitoring, asset health evaluation, decision support systems, and human interface layers are all common components of predictive maintenance solutions. These systems often include the use of data that comes from Industrial Internet of Things (IIoT) hardware such as wireless sensors that then gets used in the advanced analytics software to predict failure before it happens.

Predictive Maintenance in Oil & Gas

Predictive maintenance in an oil & gas operation is a proactive approach that, when implemented correctly, can prevent assets from reaching the point of catastrophic and unplanned failure.

  1. It uses IIoT hardware that connects physical assets, machines and devices to each other and to applications, thereby offering advanced analytics that help prevent unplanned downtime.
  2. It uses state-of-the-art technologies such as Machine to Machine communications, edge & cloud computing, advanced signal processing and predictive & prescriptive analytics, for proactive asset monitoring & maintenance.

Real-time insights on machine health and performance of offshore pumps , compressors , motors , transportation equipment , pipeline booster stations , or any other critical piece of machinery throughout the upstream, midstream, and downstream processes can be achieved; this helps maintenance and reliability professionals to make faster and accurate decisions, that drive efficiency and improve the competitive advantage.

Implementing Predictive Maintenance
in Oil & Gas with Nanoprecise

Automated end-to-end Predictive Maintenance solution from Nanoprecise utilizes artificial intelligence (AI) to prevent equipment failure for oil and gas platforms. The AI-based intelligent automation system comprises a unique 6-in-1 IIoT sensor – MachineDoctor™, which describes the health of any rotating machinery. Combining this leading edge sensor hardware with a globally patented advanced signal processing algorithm that analyses data in real-time for early fault detection and remaining time to failure prediction in an automated process allows for significant value to be created.

Zone 0 Certified Hardware

The IIoT hardware from Nanoprecise is certified for use in hazardous/explosive atmospheres and complies to Atex and IECEx standards for Zone 0 along with C1D2. It can be installed in hazardous environments/explosive atmospheres and will still measure 6 streams of data. The sensors have been thoroughly tested and certified as per industry standards, to ensure safe operations and protect workers in industrial environments with hazardous/explosive atmospheres.

Experienced Support

Our team of experienced professionals provide comprehensive support to get you up and running quickly. When anomalies are discovered, the system interacts with your team to help you find ways to make decisions and identify potential root causes. Operators can utilize our Predictive Maintenance service for oil & gas operations to get user-friendly real-time dashboards and reports that provide a detailed picture of the state of their assets.

Reduce redundancy, inspections, and maintenance depending on time

The reliability and forewarning provided by Nanoprecise are critical in lowering the need for human inspections, redundancy, and preventative maintenance that is not providing value. Nanoprecise eliminates the need to schedule unnecessary inspections and maintenance by precisely notifying when a machine does—and does not—require attention. Detecting an issue months in advance allows you to take care of and fix machines before they develop severe issues.

Reduce the number of unanticipated breakdowns.

Reduce operating costs by only doing maintenance when it is absolutely essential.

Increase asset dependability and maximize asset uptime.

Maximize production hours while improving safety and lowering maintenance expenses by reducing equipment, inventory, and labor expenditures.

Why Nanoprecise?

The Predictive Maintenance Solutions from Nanoprecise uses a combination of AI + IoT + LTE-driven seamless monitoring, advanced sensors, and prescriptive diagnostics to achieve productive results from day one. We use cutting-edge, scalable technology to monitor equipment health and reduce unnecessary downtime, which costs the global economy roughly $100 billion each year.

Nanoprecise technologies assist in the development of 360-degree integrated systems that can anticipate the remaining usable life of any asset and provide users with accurate data in a variety of industries. We use cutting-edge technology to provide our clients with reliable prognostic and diagnostic solutions that can accurately anticipate the remaining useful life of any asset to the tune of 99 percent.

Reducing Downtime in Metal Industry

Our IoT driven Predictive maintenance solution helps to reduce downtime, monitor, collect exchange and analyze data from machines to enhance manufacturing processes of the metal industry.

Machine failure in the mines? No worries.

Our solutions can add immense value to your entire mining supply chain by harnessing the power of Industry 4.0. The asset performance will be optimized, costs and machine downtime can be reduced leading to a boost in ROI.

No more unplanned downtime in Cement Industry

Our Industry 4.0 digital solutions can help you tackle the challenges in cement production such as large energy consumption, high costs and complex processes.

Our advanced analytics can simplify complexities and help in real-time decisionmaking. Equipment lifespan and reliability will amplify due to our condition monitoring system.

Protect your assets with Zone Approved Solution

Our digitization solutions in industrial equipment maintenance can help oil and gas companies streamline maintenance. Our predictive analytics and conditional data monitoring help anticipate failures, reducing unplanned maintenance and unscheduled downtime.

No more Downtime, Keep your Machines Running in Chemical Plants

Our AI driven analytics can propel your chemical business to new heights of reliability by optimizing asset longevity and impacting top-line growth through proactive identification of upcoming machine failures. IoT driven asset maintenance solutions can provide immense flexibility and agility to production.

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Frequently Asked Questions

Predictive maintenance refers to the use of a data-driven approach, that analyses the equipment condition to predict when that equipment requires maintenance. This allows for maintenance tasks to be performed before a serious and unexpected failure occurs.

Predictive Maintenance offers insights about the health and performance of various machines in the oil & gas plants. Real-time insights on health and performance of critical assets throughout the upstream, midstream and downstream processes, helps maintenance and reliability professionals to make faster and accurate decisions, that drive efficiency and improve the competitive advantage.

Predictive Maintenance significantly reduces the unplanned downtime in oil & gas industry, while maximizing the asset uptime and improving the overall productivity of the operations. It also increases the reliability of equipment sets and offers improved safety to workers.

Predictive Maintenance Services in Oil & Gas Industry employ data science and predictive analytics analyse the equipment condition and predict when that equipment requires maintenance. Nanoprecise is a Predictive Maintenance Service Provider in Oil & Gas Industry that helps organizations to detect even small changes in machines before they impact production.

Predictive Maintenance System in Oil & Gas industry monitors and analyses real-time insights on the health and performance of offshore pumping station, compressor, drilling rig, transportation equipment, pipeline booster station, or any other critical piece of machinery throughout the upstream, midstream and downstream processes.