Revolutionize HOW YOU Store AND Use SEISMIC DATA

Achieve cost-effective storage and rapid data access with Bluware Volume Data Store (VDS™).

REAL-TIME Data Streaming

Seismic data is very large, making it difficult to move and use in workflows, and migrating it to the cloud is cost-prohibitive.

Bluware VDS compresses raw and interpreted seismic data sets, making them adaptable and scalable, giving your organization the advantages of fast data access, cost-effective cloud storage, and compute-intensive workflows.

WHY MOVE SEISMIC DATA TO THE CLOUD?

Moving seismic data to the cloud is difficult and expensive. Plus lifting and shifting your current interpretation tools and services to the cloud yields little business value.

It isn’t until applications, workflows, and even the data storage formats are re-engineered, that real business value and storage cost-savings can be realized. Explore how this is possible today with Bluware.

SUPPORTS MULTIPLE E&P DATA TYPES

Seismic lines

regularized single-z horizons/height-maps

attribute volumes up to 6D

Pre-stack volumes

post-stack volumes

geo-body volumes

STORAGE SYSTEMS

VDS FILE

VDS Files can be stored on premises as a traditional file on disk making it portable and usable on existing file systems.

VDS CLOUD

VDS Cloud is optimized for cloud object storage making it highly cost-effective and massively scalable.

VDS ACCESS ENGINE FEATURES

ADAPTIVE STREAMING™

VDS eliminates the need to copy and convert data to different formats by only serving the required signal quality to the workflow, yielding extremely fast data access.

TRULOSSLESS™ ADAPTIVE COMPRESSION

Our industry-tested compression technology supports zero-loss. The original SEG-Y data can be compressed to a level of your choice without storing copies, creating significant size reduction, all without impacting workflows.

RANDOM ACCESS PATTERNS

VDS supports random-access patterns, which is key in enabling highly intensive workflows like interactive deep learning.

TRUSERVERLESS™

The VDS architecture is serverless and simple to deploy, so it is cloud-ready and highly transportable, reducing hardware and cloud storage costs.

OPTIMIZED FOR GPU AND MULTI-THREADING

The engine interprets what the user is requesting and prefetches data, resulting in fast data performance.

WORKFLOW DRIVEN

Direct API access makes typical workflows easy.

SOLUTIONS

BLUWARE VDS ENABLES

INTERACTIVE DEEP LEARNING

INTERACTIVE DEEP LEARNING

enables geoscientists to have full control of interpretation workflows.

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USE OF CURRENT INTERPRETATION APPLICATIONS

USE OF CURRENT INTERPRETATION APPLICATIONS

with Bluware’s data transcoding technology.

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TRANSMISSION OF SEISMIC DATA

TRANSMISSION OF SEISMIC DATA

via satellite from seismic acquisition areas, saving 6-8 weeks in data transit time.

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VDS IMPLEMENTATIONS

Bluware also offers OpenVDS and OpenVDS+ to eliminate historical concerns of a vendor-locked format. Regardless of which version of VDS is chosen, your data can all be freely converted back to its original format. By supporting open standards and sanctioning format conversion, these VDS implementations yield benefits to the entire ecosystem of seismic data wranglers and not just a walled-off segment of the oil, gas, and energy industry.

OPEN SOURCE

OPENVDS

Bluware created OpenVDS™, an open source API to access VDS, available on The Open Group OSDU™ Data Platform.

FREEWARE

Openvds+

Bluware provides OpenVDS+, which has all the capabilities of the OpenVDS API and adds the ability to compress VDS using Bluware’s industry leading compression technology.

CUSTOMER SUCCESS

TAKE IT FROM THE EXPERTS

“I can see all the software in the cloud giving us the ability to pull what we need to construct the workflows that best suit our assets. It truly is impressive how Bluware has made the data compression and random-access work together and how it has built them into a usable platform on which we can build our own seismic workflows.”

Tim Roden

Shell GeoSigns Software Manager

Is Your Seismic Data Ready for the Cloud?

Are you ready to enter the next generation of subsurface data management and workflows?