Edge Computing

Edge reinvents data management

 Edge Data Management for Midstream Oil & Gas

A unique problem facing the downstream industry is that the most critical assets are remote and often understaffed. For conveyors, the edge has a variable definition and is highly dependent on the trigger point. In a complex network, midsize companies are looking for strategies to increase competitiveness, improve productivity and reduce unit costs. Transforming real-time data into actionable information ​​at the device level makes scanning decisions like Edge Computing easier.

"What can be measured is done"

Edge reinvents data management

Edge Computing is the latest innovative strategy to restructure data management. Most new data will be generated at the asset (device) level, where its usefulness is not limited by scale or capacity constraints, according to a recent Gartner report. Edge computing allows you to process data at or near the point of origin, where data is sent locally or to the cloud for analysis and management.

"By 2022, 75% of data will be created and processed outside the data center or cloud, compared to 10%."

Where is the information and how to use it

For midsize companies, all assets are remote and operate in open environments. Edge computing is a physical-digital-physical cycle in which data is collected by physical sensors, analyzed digitally, and can automatically drive changes in physical hardware.1 Edge computing provides digital optimization/automation solutions for outside operations of the data from the processing center. and not having staff on site.

Real-time device-level responses are possible on high-end platforms. However, data integrity becomes extremely important when taking corrective action. Furthermore, the choice of technology (hardware, software, and monitoring devices) is a critical design consideration, as control/monitoring systems are deployed independently in the intermediate stages of production, without manual supervision.

Basics of Building a Resilient Leading Computing Platform

Midsize companies have many options when designing their cutting-edge digital and computing architecture. Digitization projects require a forward-looking strategy that meets current needs and allows for expansion with new developments. To ensure long-term sustainability, the plan must be a live approach that balances operational requirements with manageable guidelines2.

Remote operations have different needs than centralized facilities and operate without onsite staff and limited IT assistance. As a result, platform reliability is critical to protecting data quality and ensuring uptime. Border platforms must be simple, autonomous, and secure:

Simple. New advances in hardware and software are taking place at an ever-faster pace. A simple platform design must have a “forward-looking” architecture and take into account new advances (hardware and software). Change is a constant condition of the digital transformation revolution. Especially for pipelines, the flexibility to quickly deploy patches and software updates across multiple sites is critical.

 Autonomous. Midstream's operations and assets are thousands of miles away. Edge architecture must be robust and robust to function smoothly in open environments. Zero-touch technology allows remote asset monitoring and management without the involvement of local staff and IT.

Safe. As more field assets are connected, security and cyber-attack prevention become top design criteria. Edge computing platforms must be redundantly architected to minimize disruption and data loss due to hardware failures or malfunctions.

The Internet of Things and the digital transformation are seriously affecting the way companies operate and run their businesses. But with forward thinking plans and a roadmap for integrating Edge Computing technology, early adopters can increase flexibility and agility while confidently weathering future market changes.

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