Accelerating the Industrial Internet of Things
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C3 IoT Case Studies Large Oil Producer Leverages Advanced Analytics Platform

Large Oil Producer Leverages Advanced Analytics Platform

C3 IoT
Large Oil Producer Leverages Advanced Analytics Platform
Large Oil Producer Leverages Advanced Analytics Platform
Large Oil Producer Leverages Advanced Analytics Platform
Large Oil Producer Leverages Advanced Analytics Platform
Oil & Gas
Maintenance
Production - Manufacturing
Production - Natural Resources
Approximately 17,000 wells in the customer's portfolio have beam pump artificial lift technology. While beam pump technology is relatively inexpensive compared to other artificial lift technology, beam pumps fail frequently, at rates ranging from 66% to 95% per year. Unexpected failures result in weeks of lost production, emergency maintenance expenses, and costly equipment replacements.
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One of the largest oil and gas producers in the U.S. with an upstream portfolio consists of more than 22,000 wells distributed across 10 countries in North America, South America, and the Middle East.
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As part of the C3 IoT analytic software suite, C3 Predictive Maintenance employs machine learning-based algorithms to enhance failure prediction and diagnostic capabilities. The application augments traditional systems by continuously monitoring all instrument signals, tracking complex failure modes, and detecting operating anomalies associated with impending equipment failures for a large range of assets.

In this deployment, C3 IoT integrated daily sensor readings from in-field equipment and unstructured data from maintenance work orders. This comprehensive data integration and analysis gives service teams a comprehensive weeks-ahead view of emerging equipment maintenance requirements, with detailed supporting data and diagnostic tools to support maintenance decision making.

Hardware Components
- Daily sensor
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Daily sensor readings from in-field equipment, unstructured data including field notes and operator comments from maintenance work orders
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IOT
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Emerging (technology has been on the market for > 2 years)
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Predictive Maintenance - Cloud solutions enable prediction of emerging equipment maintenance requirements weeks before equipment failures.
Remote Device Diagnostics - Real-time status reports enable maintenance personnel to remotely diagnose the status of a device, often before a failure occurs.
The C3 Predictive Maintenance application accurately predicted 45% of equipment failures that were to occur within 6 months.
The C3 Predictive Maintenance application analyzed over 1,000 wells.
Hardware
Sensors transform energy into electrical data; they are the eyes and ears of IoT. Actuators transform electrical data into energy; they are the muscle of IoT.
IoT power supplies include traditional, thin-film and printed batteries, energy harvesting modules, flexible photovoltaic panels and thermoelectric sources.
Software
Horizontal applications are standardized (e.g., asset tracking). Vertical applications are tailored to specific needs (e.g., delivery fleet management).
IoT analytics includes real-time or edge computing and batch analysis. Analytics can be behavioral, descriptive, predictive, or prescriptive.
Visualization solutions use dashboards, alerts, events, maps, and other tools to present easily comprehensible data to end users.
Data management solutions capture, index and store data in traditional database, cloud platforms, and fog systems for future use.
Services
System integrators link IoT component subsystems, customize solutions, and ensure that IoT systems communicate with existing operational systems.
IoT data management consultancies help to make sense of big data, decide which data to maintain and for how long, and troubleshoot IT issues.
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