Join us at IADC ART 2024

You are invited to join us at IADC ART 2024!

We’re gearing up for an exciting time at the IADC Advanced Rig Technology (ART) Conference & Exhibition from August 27-28 in Austin, Texas.

Join us at the AI & Machine Learning session on Wednesday, where Andy Wang, CEO of Prescient, and Russell Whitney from Precision Drilling will present how our distributed low-code data engine can handle massive real-time data from warehouses like Snowflake, revolutionizing real-time data wrangling and drilling operations.

The presentation will highlight the engine’s scalability and customization capabilities, designed for easy deployment and rapid scaling across rig fleets.

We’d love to have you join us for great conversations and to catch up if you’re attending this event.

For any queries or further information, feel free to comment below or DM.

5 Reasons Why Oil & Gas Operations need a Data Engine

In the #energysector, where data from sensors, equipment, and operational logs is abundant yet often disparate, effectively managing and extracting actionable insights is crucial.

Implementing a robust data engine is key to transforming raw data into a strategic asset.

Here’s why:

• Streamlining Data Complexity: A data engine simplifies the complexity of diverse data types by converting raw, unstructured data into structured events, making it easier to analyze and act upon.
• Efficient Data Volume Management: By filtering and compressing vast data volumes, a data engine reduces storage needs and speeds up data processing, making it more manageable and cost-effective.
• Enabling Real-Time Operational Insights: A data engine enables the generation of real-time events from data streams, supporting proactive maintenance and operational adjustments, which are critical for preventing costly downtime.
• Accelerating Data Operations (DataOps): The modular architecture of a data engine supports the rapid development and deployment of data-driven applications, crucial for maintaining operational agility in dynamic environments.
• Supporting Distributed, Resource-Efficient Architectures: A data engine processes data locally in remote locations while maintaining centralized oversight, ensuring critical insights are available where needed without compromising security or efficiency.

For more insights, explore our blog.

The Significance of Real-time Data Wrangling

Real-time data wrangling using technologies like #NodeRED and distributed data engines is crucial for optimizing oil and gas operations. By directly integrating real-time data from various sensors into a digital twin framework, companies can achieve #predictivemaintenance, significantly reducing unplanned downtime and extending asset lifespan.?

This approach is particularly valuable in the #oilandgas industry, where equipment failures can lead to costly production delays.

Prescient's distributed low-code data engine technology provides a powerful platform for managing massive real-time data streams from various sources, including warehouses like Snowflake. This engine's scalability allows for rapid deployment and customization, making it an ideal foundation for implementing operational digital twins in rig operations.

Explore more in this blog.

See all the upcoming events we will be part of!

IADC Event Details:

IADC Advanced Rig Technology (ART) 2024 Conference

'Real-time Data Wrangling through Distributed Data Engine Technology.'

What to Expect: We aim to demonstrate the unique capabilities of our Distributed Data Engine Technology, including Drag-and-drop data integrationHierarchical and graphical data workflow builderScalable anomaly detection

Date: August 27-28

Location: Austin, TX

Join us and be a part of the discussion.?

See you there!