CASE STUDY 5.0

How the World's leading Mining company partnering with Aethriom?

CASE STUDY 5.0
Overview

Machine Learning

API Development

Web Application

Data Processing System

Azure

Cloud Platform

BHP faced the complex task of developing a seismic data processing and monitoring system capable of handling massive real-time inputs.

The Solution
CS 5.0
The Challenge

High Data Volume:

Sensors generated 115MB/second, overwhelming traditional mining industry data-processing methods.

Incomplete Architecture:

The end-to-end tech stack was not fully defined and required incremental development.

Scalability Concerns:

Needed to ensure rapid categorization, analysis, and access to seismic events across a large environment.

Operational Integration:

Required seamless tools for event acceptance, rejection, and ongoing maintenance requests..

CS 5.0
The Approach
Solution

BHP partnered with Aethriom to design and deliver a scalable, cloud-native seismic data processing platform.

Cloud-Enabled Infrastructure:

Deployed an Azure-based platform managed with Kubernetes for resilience and scalability.

Automated Processing:

Automated Processing: Implemented machine learning-driven categorization of seismic events with RESTful APIs for secure data access.

End-User Applications:

Built a web interface enabling event review, acceptance/ rejection, and maintenance workflows.

CS 5.0
Results
Impact

The collaboration resulted in a fully functional, production-ready system supported by a lean team.

Successful Prototype to Production:

Transitioned from concept to deployed production system through iterative development.

Enhanced Seismic Monitoring:

Delivered accurate, real-time categorization and analysis of seismic events.

Streamlined Operations:

Provided intuitive applications for event handling and maintenance requests.

Lean Team Efficiency:

System now runs in production, supported by a small, efficient Aethriom team.

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