EHO Energy HPC Orchestrator
EHO
Solution Overview
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:
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Frontend: ReactJS, ReactFlow, TypeScript
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Backend: JavaScript, NodeJS
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Databases: DynamoDB, Amazon S3
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EventBus: Amazon EventBridge
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Logging system: Cloudwatch Logs
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UserManagement: Amazon Cognito UserPool
Customer Problem
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Data Volume: Seismic data sets are massive, requiring significant computational resources and storage capacity.
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Computational Intensity: Processing algorithms are compute-intensive, often taking days or weeks to complete large-scale jobs.
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Resource Constraints: Limited computational resources can lead to processing bottlenecks and long wait times.
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Data Transfer and Management: Moving large data sets between storage systems is time-consuming and resource-intensive.
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Interpretation and Validation: Interpreting seismic images requires specialized expertise and manual intervention to ensure accuracy.
EPAM Solution
EHO is a seismic data processing system designed for handling large seismic data sets. It utilizes High-Performance Computing (HPC) clusters to reduce processing time for compute-intensive tasks, helping to alleviate resource constraints and processing bottlenecks. EHO also streamlines data transfer and management, making it easier to move large data sets between storage systems. Its low-code interface simplifies the design of complex seismic data workflows, and its secure model and data transactions ensure data integrity and compliance. EHO's models marketplace and comparison features aid in the interpretation and validation of seismic images, reducing the need for manual intervention.
Key Differentiators
Rapid Processing with Cost Efficiency
Achieve up to 10x faster processing and optimize costs through use of shared HPC infrastructure
Scalability and Resilience
Built-in scalability and flexibility, supported by AWS infrastructure
Collaborative Ecosystem
Access to a robust marketplace of cutting-edge seismic algorithms and tools
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.
Use Cases
Energy
Problem Statement
An oil and gas exploration company is facing challenges in processing and analyzing massive seismic data sets. The sheer size of these data sets demands significant computational resources and storage capacity, resulting in extended processing timelines. This delay is hindering the company's ability to operationalize its assets in a timely manner, leading to potential revenue losses.
Solution Proposed
The company decides to implement EHO, a specialized seismic data processing system designed to address these challenges. With EHO, the company can leverage the power of High-Performance Computing (HPC) clusters, which significantly reduces processing time for these data-intensive tasks. The system's robust infrastructure efficiently manages the large data sets, ensuring continuous operation with minimal downtime.
Additionally, EHO's user-friendly, low-code interface simplifies the design and implementation of intricate seismic data workflows. This allows the company's geoscientists and data analysts to focus more on data analysis and less on the complexities of data processing.
Achieved Results
With EHO, the company is able to process and analyze seismic data sets more efficiently. This accelerates the timeline for operationalizing assets, leading to quicker decision-making, reduced costs, and improved revenue generation. The system's unique models marketplace also enables the company to swiftly set up optimized workflows, further enhancing their operational efficiency.
Additional Information
Questions & Answers
How much does this cost? How are the usage costs calculated and made transparent for seismic data, 86 software and compute access? Is this free for academia?
What are the benefits of using EHO for operators? How much [time/money/effort] am I saving?
What processes and workflows can I run on EHO?
Am I able to load my own seismic models?
Tech Requirements
- An AWS account and access to AWS infrastructure services
- Access to Billing Account
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Updated on April 29, 2024
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