Energy HPC Orchestrator (EHO)

EHO is a specialized seismic data processing system designed for geoscientists and data analysts in the oil and gas industry. Its user-friendly, low-code interface simplifies the design and implementation of intricate seismic data workflows, enhancing productivity and reducing the learning curve. Its robust infrastructure offers scalability and resilience, efficiently managing varying workloads and ensuring continuous operation with minimal downtime. Utilizing the power of High-Performance Computing (HPC) clusters, EHO significantly cuts down processing time for data-intensive tasks, facilitating quicker decision-making and reducing costs. EHO prioritizes data and model integrity and security, providing users with confidence when handling sensitive seismic data. It also features a unique models marketplace with a wide array of pre-built models, enabling users to swiftly set up optimized workflows and make informed decisions based on performance and cost considerations.

The solution utilizes the following tech stack:

• Frontend: ReactJS, ReactFlow, TypeScript
• Backend: JavaScript, NodeJS
• Databases: DynamoDB, Amazon S3
• EventBus: Amazon EventBridge
• Logging system: Cloudwatch Logs
• UserManagement: Amazon Cognito UserPool

Customer Problem:

1. Data Volume: Seismic data sets are massive, requiring significant computational resources and storage capacity.

2. Computational Intensity: Processing algorithms are compute-intensive, often taking days or weeks to complete large-scale jobs.

3. Resource Constraints: Limited computational resources can lead to processing bottlenecks and long wait times.

4. Data Transfer and Management: Moving large data sets between storage systems is time-consuming and resource-intensive.

5. Interpretation and Validation: Interpreting seismic images requires specialized expertise and manual intervention to ensure accuracy.

Benefits:

Rapid Processing and Imaging Streamline workflows, reduce processing times, and accelerate decision-making

Cost Efficiency Minimize expenses through transparent pricing and shared resources

Collaborative Ecosystem Foster seamless integration with teams and external vendors

Enhanced Control and Visibility Gain complete oversight of processing jobs and costs

Scalability and Resilience Adapt to growing needs with a flexible and reliable platform

Features:

Fluid and Intuitive UI/UX: Enhances user experience with a clean, user-friendly interface, reducing the learning curve.

Low Code UI for Workflow Orchestration: Enables easy design and implementation of seismic data processing workflows without extensive coding skills.

Built-in Scalability, Elasticity, HA, and Resilience: Ensures efficient handling of varying workloads, continuous availability, and quick recovery from failures.

Utilization of HPC Clusters:Leverages HPC clusters to significantly reduce processing time and enhance performance for intensive computational tasks.

Secure Model and Data Transactions: Protects data and model exchanges against unauthorized access and breaches, maintaining data integrity and compliance.

Access to Industry-Leading Workloads Marketplace: Provides a repository of pre-built, optimized workflows and applications from industry leaders for easy deployment.

Comparison and Contrast of Models for Performance and Cost: Allows evaluation of different computational models based on performance metrics and cost implications for informed decision-making.