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ease
features
design
support

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Description

The AbaData TRIAGE Pipeline Integrity solution represents a cutting-edge risk management tool aimed at assisting energy operators in the proactive monitoring, evaluation, and reduction of threats within their pipeline systems. Utilizing advanced technologies such as big data analytics, machine learning, and integrated GIS mapping, it revolutionizes conventional integrity programs into forward-looking, data-centric workflows that enhance safety measures and regulatory compliance. By analyzing over four decades of pipeline performance data from more than 500,000 kilometers of infrastructure and examining thousands of historical failure incidents, the system effectively identifies potential risks at an early stage. Additionally, it achieves approximately 95 percent accuracy in automatically mapping pipeline connectivity and flow allocation, which minimizes the necessity for manual checks and accelerates decision-making processes. The platform’s predictive analytics capabilities further aid in recognizing failure trends based on historical data, upstream well activity, and environmental factors, enabling teams to prioritize necessary inspections and mitigation efforts. This comprehensive approach not only optimizes operational efficiency but also reinforces the integrity and reliability of pipeline systems.

Description

UST IQ for AMI Analytics streamlines the entire data engineering process, managing everything from the ingestion of large-scale, high-frequency metering data to delivering comprehensive insights, allowing AMI business operations to prioritize essential decision-making over IT infrastructure concerns. It efficiently collects both real-time and historical data, including meter readings, events, alarms, GIS information, and external data sources, and transforms this information into query-ready formats using a cloud-native, microservices architecture. This setup supports self-service querying, location-aware and role-specific analytics, and proactive exception management, providing operations teams with crucial insights regarding network anomalies, meter performance, outages, and environmental data such as seismic activity or weather patterns. By doing so, it enhances the ability to optimize field crew deployment, avert expensive failures, and improve restoration efforts. The system processes vast quantities of data, handling hundreds of millions of records each day through low-latency micro-batching, typically in 5-minute intervals, while also offering features like 30-day rolling averages and alert-triggered notifications to further support operational efficiency. This comprehensive approach not only accelerates data processing but also ensures that actionable insights are readily available when needed, ultimately leading to improved operational effectiveness.

API Access

Has API

API Access

Has API

Screenshots View All

Screenshots View All

Integrations

AbaData

Integrations

AbaData

Pricing Details

No price information available.
Free Trial
Free Version

Pricing Details

No price information available.
Free Trial
Free Version

Deployment

Web-Based
On-Premises
iPhone App
iPad App
Android App
Windows
Mac
Linux
Chromebook

Deployment

Web-Based
On-Premises
iPhone App
iPad App
Android App
Windows
Mac
Linux
Chromebook

Customer Support

Business Hours
Live Rep (24/7)
Online Support

Customer Support

Business Hours
Live Rep (24/7)
Online Support

Types of Training

Training Docs
Webinars
Live Training (Online)
In Person

Types of Training

Training Docs
Webinars
Live Training (Online)
In Person

Vendor Details

Company Name

AbaData

Founded

2004

Country

Canada

Website

www.abadata.ca/pipeline-integrity

Vendor Details

Company Name

UST

Country

United States

Website

www.ust.com/en/what-we-do/digital-transformation/data-analytics/ust-iq/ami

Product Features

Oil and Gas

Compliance Management
Equipment Management
Inventory Management
Job Costing
Logistics Management
Maintenance Management
Material Management
Project Management
Resource Management
Scheduling
Work Order Management

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