HPCO High Performance Computing Orchestrator
HPCO
Solution Overview
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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
HPCO 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. HPCO 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. HPCO'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 HPCO, a specialized seismic data processing system designed to address these challenges. With HPCO, 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, HPCO'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 HPCO, 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.
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?
The platform offers flexible pricing options, including subscription and on-demand models for infrastructure, access to a marketplace of licensed seismic tools, and integration with the AWS Free Tier. Users can choose from a variety of workflow-specific pricing options, ranging from free, open-source modules to full-fledged applications with Pay-per-use or all-you-can-eat models. Additionally, the platform provides full transparency on HPC costs, allowing users to optimize for cost or speed as needed. For example, processing a 1,000 OBN, 100,000 shot dataset using plain vanilla RTM down to 10 km with a 12-hour turnaround time is estimated to cost $10,000.
What are the benefits of using HPCO for operators? How much [time/money/effort] am I saving?
HPCO accelerates seismic processing and imaging by up to 10x compared to traditional methods. This improvement is driven by the platform's collaborative ecosystem, streamlined processes, and integration capabilities. By leveraging shared and optimized HPC infrastructure, users benefit from access to better quality algorithms and outputs while reducing costs. The user-friendly interface seamlessly integrates into existing workflows, minimizing the learning curve and boosting productivity. With HPCO, teams can focus on seismic processing tasks without getting bogged down by technical complexities.
What processes and workflows can I run on HPCO?
HPCO provides opportunities for software providers to offer and test their seismic processing packages at scale, reaching a wider market and unlocking new monetization opportunities. Service providers can leverage the platform's capabilities to deliver their work efficiently without investing in costly applications or infrastructure.
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Tech Requirements
- An AWS account and access to AWS infrastructure services
- Access to Billing Account
Version
Updated on April 29, 2024
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