header lang header lang EN
sambanova-logo-black
Products
Products
SambaNova’s AI platform is the technology backbone for the next decade of AI innovation. Customers are turning to SambaNova to quickly deploy state-of-the-art AI and deep learning capabilities that help them outcompete their peers.
Products
SambaNova Suite
The only, enterprise grade full stack platform, purpose built for generative AI
Samba-1
SambaNova Suite Demos
DataScale®
The platform for generative AI development and innovation
AI for Science
Custom Models
Computer Vision
Fast API
Tap into lightning-fast inferencing speed
Technology
Technology
SambaNova delivers the only enterprise-grade full stack platform, from chips to models, purpose built for generative AI
Technology
Platform
The only, full stack platform purpose built for generative AI in the enterprise
SN40L
Full Stack Platform
Models
1T+ parameter models, that span business use cases with high accuracy
Composition of Experts
Samba Apps
Model Ownership
Custom Models
Resources
Resources
Find what you need to accelerate your AI journey.
AdobeStock_507970416-scaled-1-1
Ultra-fast Recurrent Neural Networks with...
Read More
OTP_Epic_Cover_Video-1-3-scaled
How OTP Bank Is Using Al and NLP To...
Read More
Resource Categories
Technical Documentation
Documentation
Solutions
Solutions
SambaNova delivers generative AI for the enterprise that can scale across use cases
Industries
Financial Services & Insurance
Healthcare & Life Sciences
Manufacturing & Auto
Oil, Gas, Energy
Use Cases
Public Sector
AI for Science
Sovereign AI
Community
Community
Find the resources you need to create AI solutions
Model Curation
Sambaverse
Community
Developer Community
Research & Resources
Technical Documentation
Documentation
About
About
WHO WE ARE
Customers are turning to SambaNova to quickly deploy state-of-the-art AI capabilities to gain competitive advantage. Our purpose-built enterprise-scale AI platform is the technology backbone for the next generation of AI computing. We power the foundation models that unlock the valuable business insights trapped in data.
FEATURED RESOURCE
12-things-blog-image-1
Pre-training? Multimodal? Grounding? Here are 12 terms to know about generative AI
Read More
Contact Us
sambanova-logo-black
header lang header lang EN
Contact Us
Contact Us

High resolution
3D seismic
analysis

The multi billion dollar opportunity trapped in seismic images
Download Solution Brief
High resolution 3D seismic analysis

Accelerating complex seismic analysis

Seismic analysis is a complex, 12 month process that has a 70% failure rate in accurately predicting discoveries. The process involves identifying subsurface natural resources, such as oil or gas deposits, which represent billions in potential profit for the oil and gas organizations.

To predict the location of these accumulations, highly trained specialists need to analyze hundreds of km3 of extremely detailed geospatial image data. The accuracy of these predictions is critical, as an incorrect prediction not only represents billions in missed opportunity but a massive wasted capital investment of $100M or more.

In order to maximize the success of these predictions, oil and gas organizations invest months or years in highly complex and time consuming analysis that not only creates a massive bottleneck in the full geoscience decision workflow, but typically results in a 70% failure rate in correctly predicting the location of these valuable deposits.

Accelerating complex seismic analysis
TRUE RESOLUTION COMPUTER VISION

Improving accuracy of discovery predictions

Deep learning computer vision models have the potential to greatly improve and accelerate the analysis of seismic data by capturing even higher dimensional information, such as amplitude versus offset, as part of the patterns that experts need to identify. This enables reducing the seismic analysis process from nine weeks to one week.

Challenge

Challenge

Despite years of digital innovation, seismic interpretation remains as a cumbersome and largely manual activity, with typical projects spanning 2-12 months and remains a core exploration, production, and CCS geoscience bottleneck.
Solution

Solution

SambaNova Systems’ deep learning computer vision models can greatly improve and accelerate the analysis of seismic data by capturing signal in 3 dimensions and beyond as part of the patterns that experts need to identify.
Results

Results

Deep learning computer vision models can accelerate time to analysis by 13% or more. This improved analysis speed enables oil and gas organizations to analyze and make 13% more predictions, worth an estimated average of $2.7B annually.
TRAINING COMPUTER VISION MODELS

Accelerated training of seismic computer vision models

Training computer vision models for seismic analysis requires specialized data labeling of image data sets hundreds of km3 in size. SambaNova utilizes a proprietary approach that reduces the labeled data required to train a model by 97.6%, while resulting in more detailed 3D features that can greatly improve the accuracy of the analysis.

first-level-card-img-

Challenge

The labeling process for these computer vision models is highly complex, requiring significant manual effort from subject matter experts that can recognize and label the complex 3D features critical to seismic analysis and prediction.
first-level-card-img-2

Solution

SambaNova utilizes a proprietary model training approach that reduces the labeled data required to train a model by 97.6%, while simultaneously resulting in more detailed 3D features that can greatly improve the accuracy of the analysis.
first-level-card-img-3

Results

This reduction in the complex and highly specialized data labeling requirement for seismic computer vision models makes computer vision practical for energy organizations, enabling them to improve and accelerate their analysis at scale
HIGH RESOLUTION 3D SEISMIC IMAGES
HIGH RESOLUTION 3D SEISMIC IMAGES

High resolution seismic images: 5123 and beyond

While 2D networks can be useful for seismic analysis, they can lead to artifacts and complicated post-processing issues that impact usability of the prediction. Large 3D networks overcome these limitations by leveraging multi-scale, 3D correlations to identify the most relevant features in the data to improve prediction quality.

Challenge

Challenge

The 3D image resolution that can be processed with GPU-based AI infrastructure is extremely limited, leading to tiling or lowering the resolution of images, which both increases implementation complexity and significantly impacts accuracy.
Solution

Solution

The higher memory capacity of the SambaNova DataScale® platform enables analyzing images at 5123 resolution and beyond, identifying natural correlations and higher quality of features, improving downstream analysis and accuracy of results.
Results

Results

The higher quality of features from 5123 resolution images enables seismic analysts to make more accurate predictions in less time, resulting in potential for billions of dollars from the discovery of additional resource deposits.
High resolution seismic images
High resolution seismic images

Seismic Data Terms of Use: The New Zealand government collects seismic and well data and releases it to the public after a data confidentiality period of a few years. The purpose of releasing these data to the public is to promote development of New Zealand’s petroleum and mineral resources. These data can be used by students, academics, and industry provided publications and presentations acknowledge New Zealand Petroleum and Minerals (NZPM) for providing data.

Label data source: AICrowd

Request a meeting or demo to learn more

Learn how SambaNova can help your organization leverage AI to competitive advantage.
Get Started
Headquarters:
2200 Geng Road, Unit 100
Palo Alto, CA 94303
(650) 263-1153
Terms & Conditions Privacy Policy
Copyright © 2024 SambaNova Systems, Inc. All rights reserved

Products

Resources

Industries

About

Contact

Customers turn to SambaNova to quickly deploy state-of-the-art AI capabilities to meet the demands of the AI-enabled world. Our purpose-built enterprise-scale AI platform is the technology backbone for the next generation of AI computing. We enable customers to unlock the valuable business insights trapped in their data. Our flagship offering, SambaNova Suite, overcomes the limitations of legacy technology to power the large complex foundation models that enable customers to discover new services and revenue streams, and boost operational efficiency. Headquartered in Palo Alto, California, SambaNova Systems was founded in 2017 by industry luminaries, and hardware and software design experts from Sun/Oracle and Stanford University. Investors include SoftBank Vision Fund 2, funds and accounts managed by BlackRock, Intel Capital, GV, Walden International, Temasek, GIC, Redline Capital, Atlantic Bridge Ventures, Celesta, and several others.
Headquarters:
2200 Geng Road, Unit 100
Palo Alto, CA 94303
(650) 263-1153
Terms & Conditions Privacy Policy
Copyright © 2024 SambaNova
Systems, Inc. All rights reserved