turn oilfield data into engineering intelligence.

Connect drilling, subsurface, production, and operational information to help energy companies make more informed decisions across the well lifecycle.

DeepIQ and Halliburton bring complementary capabilities to the challenge of making complex oilfield data more accessible, consistent, and useful for engineering, analytics, and AI.

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Your oilfield data is valuable. Its context makes it actionable.

Energy companies generate enormous volumes of information across drilling, geology, well construction, production, and asset operations.

But that information often resides in disconnected systems, with inconsistent identifiers, incomplete records, and limited connections between engineering and operational data.

DeepIQ helps address these challenges by contextualizing industrial information, reconciling asset identities, and creating a consistent data foundation for engineering and AI applications.

The result is a more connected view of oilfield operations that supports better use of existing technology investments.

What DeepIQ + Armada makes possible.

Connect remote industrial operations

Bring together operational information from wells, pipelines, offshore platforms, and other distributed assets without relying exclusively on centralized infrastructure.

Create context at the edge

Connect equipment, sensor readings, engineering information, and operational events to establish a consistent understanding of industrial assets..

Enable distributed industrial AI

Prepare contextualized operational information for AI and analytics workloads deployed closer to the source.

Maintain control over industrial data

Support architectures that keep sensitive operational information within designated infrastructure and organizational boundaries.

“It seems to me that the natural world is the greatest source of excitement; the greatest source of visual beauty; the greatest source of intellectual interest. It is the greatest source of so much in life that makes life worth living.”

David AttenboroughNatural Historian

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Frequently asked questions.

How does DeepIQ complement Armada's edge computing platform?

Armada provides the infrastructure for distributed computing and connectivity. DeepIQ provides industrial data contextualization, helping organizations connect information from operational, engineering, and enterprise systems so it can be used by analytics and AI applications.

Can DeepIQ and Armada support remote operations with limited connectivity?

Armada's edge infrastructure is designed for remote environments. DeepIQ can support distributed data architectures, with specific local processing and synchronization capabilities depending on the deployment configuration.

Does industrial data have to be sent to the cloud?

Not necessarily. The architecture can be designed around operational, security, and data-sovereignty requirements. The location of processing, storage, and AI workloads depends on the selected infrastructure and deployment.

What industrial systems can DeepIQ connect?

DeepIQ supports integration with industrial and enterprise information sources, including historians, SCADA, PLCs, engineering systems, databases, and cloud platforms. Connectivity depends on available interfaces and system configurations.

What applications can DeepIQ and Armada enable?

Potential applications include remote asset monitoring, production analytics, predictive maintenance, equipment intelligence, and industrial AI workflows that benefit from processing data closer to its source.

turn oilfield data into engineering intelligence.

Your oilfield data is valuable. Its context makes it actionable.

What DeepIQ + Armada makes possible.

Ready to bring intelligence closer to your operations?

Frequently asked questions.

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