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LiveWorx 2018

s923 - Advanced Analytics for Oil & Gas Organizations

Session Description

DRIP – Data Rich, Information Poor – defines the reality of many process manufacturing companies that lack the time or solutions to find insights in their data to improve asset availability, yields and quality metrics, and production KPIs. This session will present Oil & Gas use cases demonstrating how self-service advanced analytics can accelerate the work of engineers. Attendees will learn: • How to rapidly connect to ThingWorx data sources— such as OSIsoft PI, Kepware, and Postgres— and contextual production data with other data sources. • How engineers can leverage their expertise and experience to rapidly find root causes for process anomalies, monitor process and asset performance, and predict future outcomes. • How machine learning and big data technologies enable engineers to quickly build models of production processes. • How integrated knowledge capture, collaboration, and publishing capabilities enable all levels of an organization to benefit from improved access to insights.

Session Presenter
Additional Information
Oil & Gas
Predictive Maintenance (CBM+), Data Analytics & Machine Learning
O&G companies are defined by being “Data Rich, Information Poor (DRIP).” Which means they are stuck between a sea of data and a lack of modern approaches for insights on that data, thus missing opportunities for improved outcomes.
Seeq provides self-service advanced analytics for PTC data storage (Kepware, OSIsoft, Postgres...) to enable diagnostic, descriptive, monitoring, and predictive insights on Oil & Gas data sets generated by ThingWorx solutions.
Ignite Talk (15 Minute Quick Tips or Demos Expo Hall)
15 minutes
Session Schedule