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.
Sensors generated 115MB/second, overwhelming traditional mining industry data-processing methods.
The end-to-end tech stack was not fully defined and required incremental development.
Needed to ensure rapid categorization, analysis, and access to seismic events across a large environment.
Required seamless tools for event acceptance, rejection, and ongoing maintenance requests..
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BHP partnered with Aethriom to design and deliver a scalable, cloud-native seismic data processing platform.
Deployed an Azure-based platform managed with Kubernetes for resilience and scalability.
Automated Processing: Implemented machine learning-driven categorization of seismic events with RESTful APIs for secure data access.
Built a web interface enabling event review, acceptance/ rejection, and maintenance workflows.
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The collaboration resulted in a fully functional, production-ready system supported by a lean team.
Transitioned from concept to deployed production system through iterative development.
Delivered accurate, real-time categorization and analysis of seismic events.
Provided intuitive applications for event handling and maintenance requests.
System now runs in production, supported by a small, efficient Aethriom team.
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Our case studies offer a glimpse into that journey: discrete engagements, global implications, and the steady movement toward a more intelligent future.