Don’t wait until it’s too late to prevent the next critical asset failure.
Leverage AI to increase production, reduce costs, and improve safety in the oil & gas industry
Prevent unique catastrophic accidents
From onshore to offshore to petrochemical to LNG plants, nothing is more crucial for worker safety and continuity of production than predicting and preventing critical and/or catastrophic asset failures before they happen.
With SparkCognition’s machine learning-based predictive analytics, operators get additional insight that will help them avoid unexpected downtime and astronomical costs. In a past deployment, our solution successfully identified 75% of production-impacting events, on an average of 8 days in advance.
Optimize maintenance and respond faster to emergent events
Recurring failures in assets and subcomponents drive 10% or more unexpected downtime annually and cost millions of dollars of lost production.
Our solution gives upstream, midstream, and downstream oil & gas operators invaluable advance warning to plan corrective actions and optimize maintenance scheduling for emergent asset failures—more than doubling previous lead times to address pending failures in some deployments.
Improve efficiency and sustainability through digital transformation
Operational efficiency is critical in the oil and gas industry, and with the exceptional amount of data at hand, there are many opportunities to generate more output.
SparkCognition enables operators to leverage AI and machine learning to dramatically improve productive uptime and efficiency, reduce their carbon footprint, and leverage both predictive and prescriptive insights derived from currently collected enterprise data.
“Cutting edge technologies, like AI-based predictive analytics, are key enablers to improving the efficiency of our operations and meeting our ambition to become a net zero company by 2050 or sooner. Working collaboratively with SparkCognition, we have delivered this project in an agile way.”
Former VP of Transformation,
Upstream Technology at BP
Use Case Spotlight
Avoiding stuck pipe events with AI for drilling operations
Accounting for billions of dollars annually, drilling anomalies such as stuck pipe significantly threaten the bottom line. This video addresses how drilling operators can future-proof their operations with predictive analytics and machine learning-based modeling.
Learn how a large drilling operator in the Middle East detected 79% of overall drilling anomalies, including stuck pipe events, with up to six hours’ advance notice using AI.
Reduce unexpected downtime
Get notice of pending asset failures up to weeks in advance, reducing risk exposure to workers and preserving uptime. Our solutions have been able to identify 75% of production-impacting events.
Minimize operational costs
Machine learning-based predictive analytics unlock new modes of visibility into complex operations, identifying precursors to system and subsystem failures. Our solutions have been shown to reduce maintenance costs by 5-10% annually.
Optimize asset performance
Advanced behavior modeling flags underperformance from actual observations and system behavior within the contextual environment, dramatically improving production in terms of increased annual output.
Streamline decision making
Prescriptive analytics understand both structured and unstructured data to improve the decision-making process under fire. Our solutions can recommend and analyze ramifications for different potential plans of action, and even help set a chosen plan into motion.
Prevent zero-day cyber attacks
Preventing 99.9% of never-before-seen attacks, SparkCognition provides highly trusted, highly awarded protection against zero-day ransomware, viruses, malware, and more
Rapidly scale AI
Using unsupervised machine learning techniques with models that adapt and maintain themselves dynamically, SparkCognition solutions scale efficiently for onshore, offshore, FPSO, refinery, LNG, and petrochemical operations.