SiteCom® Rig: Data aggregation, standardisation and storage

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Why watch the webinar?

Watch the webinar to learn about SiteCom Rig, and the many possibilities unlocked with data aggregation, standardisation and storage, from several diverse data formats. This webinar is hosted by our experienced industry expert and will include both a presentation and a Q&A opportunity. This is your chance to share your insights and ask any questions to improve your knowledge of data aggregation at the rig site.

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In this webinar we will:

Address how SiteCom Rig enables operators to make faster data driven decisions by aggregating multiple types of rig site data into a single standardised format (WITSML).

Advantages of SiteCom Rig include:

• Cybersecurity: SiteCom Rig allows an operator to take control of the data flow from rig to shore.
• Data aggregation: SiteCom Rig enables customers to aggregate data at the rig site from several different sources, and aggregate it in a standardised format, to enable utilisation of data for your operations in real-time, while also providing onsite backup reducing dependency on internet connectivity.
• Data quality: SiteCom Rig enables better data quality and data resolution in scenarios where onshore WITSML servers have limitations.
• Diverse data source standardisation: SiteCom Rig provides capabilities of reading data from a variety of data sources (ASCII, OPC, NMEA, WITS0, WITSML), and store it in a single standardised data format.
• SiteCom applications at the rig site:SiteCom Rig allows rig site personnel to access SiteCom applications even when network connections are poor or unavailable.‍

Meet our speaker

Rodrigo Zozaya

Customer Success Manager - Americas, Kongsberg Digital

Rodrigo is the Customer Success Manager for Americas at Kongsberg Digital, where he has been instrumental in driving the company’s operations for over thirteen years. Based in Houston, Texas, Rodrigo brings several years of experience in operations and support working directly with our customers to solve the many challenges they face in data aggregation and standardisation.

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