Skip to main content



Business Solutions

Energistics data standards ensure that business technology solutions can be developed for data from one system to be understood by any other system using the same standard. This is important because the energy industry is increasingly collaborative, and technology solutions involve a variety of different providers.

Here are 5 ways Energistics data standards help to provide integrated business solutions.

1. Standards deliver efficiency, cost savings and data integrity

The increasing interdependencies of the upstream oil and gas industry and the explosive growth of data related to the digitalization of all activities are a challenge for operators, service companies and government agencies. Standardization plays a crucial role in facilitating integration, reducing costs and increasing confidence in data quality.

2. Standards deliver real economic benefits with real-time data

Cut operational costs, improve oversight and increase safety by shifting analysis and decision-making tasks away from the drilling rig.  To make this a reality, data has to stream from thousands of rig sensors and measuring devices to the control room screens in less than a second. Real time!

Energistics has developed a protocol, ETP, that effectively solves this problem, making it both easy and elegant to monitor what is happening on the rig. Instructions can be issued in a timely manner to correct situations as they develop.  The result?  Fewer people in harm’s way, and the added benefit that experts can be actively engaged on multiple assets from one place.

This solution works seamlessly across a large number of oilfield service providers, thanks to their adherence to Energistics data transfer standards.

3. Standards improve the scope and accuracy of your analytics

Timely and reliable analytics are predicated on two assumptions: that you have access to as much relevant data as possible, and that the data is trustworthy.  Our industry standards address these two critical issues.  Standards ensure that data from many different vendors, partners or government bodies are all transferred in a uniform manner.  The detailed metadata that accompanies the data embodies critical information regarding the data source as well as the processes that may have been applied to verify or condition the data, which greatly increases the confidence in the integrity of the data without requiring exhaustive re-verification at each step.

Our ETP protocol also ensures that very large amounts of data from thousands of sensors can be effectively transmitted over the available bandwidth.  Recent tests estimated that ETP required only 1/10th of the bandwidth required by more traditional SOAP protocols.

4. Standards deliver a data schema to future proof asset knowledge

Oil and gas reservoirs often have a life-span of many decades, and the planning of enhanced recovery programs as well as decommissioning activity require access to the data and knowledge accrued over the life cycle of the field.

When designing a data management system for the long-term storage of reference data, it is critical to use a data schema that is inclusive of all the data types across the whole spectrum of activities, independently of any particular commercial application or data platform. Over many years, the experts from member companies working within our Special Interest Groups have built comprehensive vendor-neutral data schemas that fit this need.

An example of the use of these data schemas is the Reservoir Initiative within the Open Subsurface Data Universe™ Data Platform, that will use the RESQML™ standard to develop a Reservoir Domain Data Management Service within the OSDU™ Platform.

5. Standards streamline the digital transformation process

Drilling rigs and production facilities are benefiting from increased automation and improved monitoring through thousands of digital sensors combined with AI, ML and Big Data technologies.  Computer systems are rapidly migrating to cloud-based paradigms, while hand-held devices play an increasing role in visualizing and controlling systems.

Effective, industry-backed data standards are a critical piece of this evolving landscape, ensuring a rapid and trustworthy sharing of data across the many departments, vendors, partners and other stakeholders in the digital revolution.