Oil and Gas Operations Powered by AI

Transform subsurface AI workloads with high-performance computing (HPC) and visualization.

Introduction
Use Cases
Success Stories
News and Events
Technology
Resources
Partners
Get Started

Introduction

Introduction
Use Cases
Success Stories
News and Events
Technology
Resources
Partners
Get Started

Reduce Emissions and Environmental Impact From Oil and Gas Operations

Oil and gas enterprises are becoming integrated energy companies, using improved processes to better explore, produce, transport, and distribute fuels to consumers around the world. Global initiatives for decarbonization are accelerating the transition from fossil fuels to alternative fuels with a smaller carbon footprint and scaling renewable energy, such as wind, solar, nuclear, hydroelectric, green hydrogen and geothermal.

SLB and NVIDIA Collaborate on Generative AI Solutions for Energy

SLB and NVIDIA are collaborating to build and optimize generative AI models for the energy industry using NVIDIA NeMo™ and NIM™ microservices, including subsurface exploration, production operations, and data management.

Read Announcement

Petrobras Accelerates Linear Solvers for Reservoir Simulation Using NVIDIA Grace CPU

Petrobras accelerated SolverBR, a linear equations solver for reservoir simulation, using the NVIDIA Grace™ CPU. This included 4.5X faster time-to-solution, 4.3X greater energy efficiency, and 1.5X higher scalability

Read Blog

Use Cases

Discover How Energy Companies Are Using AI and HPC

Success Stories

See the Real-World Impact for AI in Energy Exploration

Learn from energy companies using AI to improve energy production and reduce operating costs.

Accelerating HPC in Energy With AWS Energy HPC Orchestrator and NVIDIA Energy Samples

Accelerate HPC application workflows for energy exploration using pre-optimized, cloud-native templates in the AWS Energy HPC Orchestrator and NVIDIA Energy Samples.

Read Tech Blog

AWS

Saudi Aramco Pioneers AI Assistant for Seismic Data Processing Workflows

Learn how Saudi Aramco built an AI assistant to enhance seismic data processing—compiled with NVIDIA® TensorRT™-LLM, deployed using NVIDIA Triton™ Inference Server, and fine-tuned with NVIDIA NeMo Guardrails.

Watch Session

Saudi Aramco

Petrobras and NVIDIA Accelerate Linear Solvers on NVIDIA Grace CPU

Learn how Petrobras built SolverBR—a specialized linear solver powered by the Arm®-based NVIDIA Grace CPU—and achieved up to a 60 percent speedup in reservoir simulations.

Watch Session

Shell Accelerates CO2 Storage Modeling 100,000X Using NVIDIA Modulus

Shell is revolutionizing CO2 storage modeling by accelerating simulations 100,00X with NVIDIA Modulus, an open-source framework for building, training, and fine-tuning physics-machine learning models.

Read Blog

Shell

Armada Accelerates Edge AI and HPC for Remote Industrial Operations With NVIDIA Accelerated Computing

Armada, an NVIDIA Inception member, builds NVIDIA-accelerated edge data centers used by leading heavy industries to remotely run AI and HPC applications with reliable connectivity.

Read Solution Brief

Armada

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Powering Energy’s Top Supercomputers

As the world moves toward a more sustainable future, global leaders in energy are accelerating their key HPC and AI workloads with NVIDIA’s full-stack platform. The result? Some of the most powerful, efficient supercomputers in the industry—including those from Eni, ExxonMobil, Petrobras, Saudi Aramco, Total, and the U.S. Department of Energy—are built on NVIDIA technology and continually rank near the top of the TOP500 and Green500 lists.

As we navigate the delicate balance between energy production and decarbonization, generative AI is emerging as a crucial catalyst for change. Our collaboration with NVIDIA will accelerate the creation of tailored generative AI solutions, enabling our customers to optimize operations, enhance efficiency, and minimize their overall footprint.

— Olivier Le Peuch, Chief Executive Officer, SLB

We can examine the contribution of AI to the energy sector from three dimensions: energy forecasting, carbon capture, and predictive maintenance. AI algorithms are being used for energy forecasting, to predict energy demand, and to optimize economic value. AI can be used to reduce carbon emissions by analyzing data from multiple sources regarding weather, soil, and crop yield to optimize our supply chain logistics and reduce our carbon footprint. AI can also help energy companies monitor the performance of their assets and equipment.

— Nayef Otaibi, Vice President and Chief Digital Officer, Saudi Aramco

Shell has ongoing work with NVIDIA: more realistic 3D reservoir models (e.g., dipping reservoir) for CO2 storage, layered geology with horizontal and vertical heterogeneity, computationally efficient FNO-based networks dealing larger input datasets and providing acceptable predictions over longer time windows (hundreds of years), and next-generation digital twin models of deep earth for carbon capture and storage (CCS) applications in real time with uncertainty assessment.

– Pandu Devarakota, Principal Science Expert, Shell

The exploration and production (E&P) industry generates a vast amount of data, including well logs, seismic data, production data, drilling data, and other sources. Natural language processing (NLP) and large language models (LLMs) have provided the ability to integrate sources with descriptive, diagnostic, prescriptive, and predictive insights that enhance return on investment. In reservoir modeling, NLP and LLMs improve integrating sources from well logs, seismic data, and production data—bringing critical understanding to the subsurface that’s significant to our operations.

– Saud Zakwani, Head of Data Science, Petroleum Development Oman

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News and Events

Accelerating SLB INTERSECT up to 11X With NVIDIA GPUs

SLB and NVIDIA Collaborate to Develop Generative AI Solutions

SLB is collaborating with NVIDIA on industry-specific generative AI foundation models across SLB’s global platforms, including its Delfi™ digital platform and Lumi™ data and AI platform, by leveraging NVIDIA NeMo, part of the NVIDIA AI Enterprise software platform, to develop custom generative AI that can be run in the data center, in any cloud, or at the edge.

Read SLB’s Press Release

Shearwater Accelerates Seismic Processing With NVIDIA Grace Hopper Superchip

CMG Targets Faster Subsurface Simulations With NVIDIA Full-Stack Accelerated Computing Platform

CMG is collaborating with NVIDIA to further develop and optimize CMG subsurface simulation solutions for speed, performance, and energy efficiency—including traditional production and energy transition.

Read CMG’s Press Release

Shearwater Accelerates Seismic Processing With NVIDIA Grace Hopper Superchip

Shearwater is expanding its collaboration with NVIDIA to innovate subsurface processing and imaging with higher performance-per-watt, energy efficiency and fewer emissions on the NVIDIA Grace Hopper™ Superchip.

Read Shearwater's Article

SoftServe Leverages Physics-Driven AI From NVIDIA for Energy Innovation

SoftServe is using physics-informed neural networks powered by NVIDIA Modulus to find an optimal flow rate for virtual metering in electrical submersible pump (ESP) wells—improving equipment lifecycle and profitability.

Download SoftServe whitepaper

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Technology

Solutions for the Oil and Gas Industry—From Data Center to Edge to Cloud

Learn about the AI and HPC hardware and software for oil and gas.

NVIDIA DGX H200

NVIDIA DGX™ H200 is the AI powerhouse that’s the foundation of NVIDIA DGX SuperPOD™ and DGX BasePOD™, accelerated by the groundbreaking performance of the NVIDIA H200 Tensor Core GPU. Get 32 petaFLOPS of AI performance and 2X faster networking than the previous generation, and high-speed scalability with DGX H200 architecture.

Explore DGX H200

NVIDIA DGX SuperPOD

NVIDIA DGX SuperPOD is an AI data center infrastructure platform that enables IT to deliver performance without compromise for every user and workload. DGX SuperPOD offers leadership-class accelerated infrastructure and agile, scalable performance for the most challenging AI and HPC workloads, with industry-proven results.

Explore SuperPOD

NVIDIA DGX Cloud

NVIDIA DGX Cloud is an end-to-end, scalable AI platform for developers, offering scalable capacity built on the latest NVIDIA architecture and co-engineered with the world’s leading cloud service providers (CSPs).

Explore DGX Cloud

NVIDIA Grace Hopper Superchip

The NVIDIA Grace™ Hopper™ Superchip is a breakthrough accelerated CPU designed from the ground up for giant-scale AI and HPC applications. The superchip delivers up to 10X higher performance for applications running terabytes of data, enabling scientists and researchers to reach unprecedented solutions for the world’s most complex problems.

Explore Superchip

NVIDIA HPC SDK

The NVIDIA HPC Software Development Kit (SDK) includes the proven compilers, libraries, and software tools essential to maximizing developer productivity and the performance and portability of HPC modeling and simulation applications.

Explore HPC SDK

NVIDIA AI Enterprise

With NVIDIA AI Enterprise, energy companies can speed up development of use case applications, such as reservoir simulation, seismic processing, and predictive maintenance. Learn how to get access to NVIDIA AI Enterprise with free curated labs to start testing.

Try for Free

NVIDIA Virtual GPU (vGPU)

NVIDIA vGPU software enables powerful GPU performance for workloads ranging from graphics-rich virtual workstations to data science and AI, enabling IT to leverage the management and security benefits of virtualization, as well as the performance of NVIDIA GPUs required for modern workloads.

Explore vGPU

NVIDIA NeMo

NVIDIA NeMo is an end-to-end platform for developing custom generative AI—including large language models (LLMs), multimodal, vision, and speech AI—anywhere. NeMo is a part of the NVIDIA AI Foundry, a platform and service for building custom generative AI models with enterprise data and domain-specific knowledge.

Explore NeMo Framework

NVIDIA Metropolis

NVIDIA Metropolis is an application framework, set of developer tools, and partner ecosystem bringing together visual data and AI to improve operational efficiency and safety across healthcare, logistics, manufacturing, retail, and more. It helps make sense of data created by trillions of sensors for some of the world’s most valuable physical transactions.

Explore Metropolis

Resources

Take a Deeper Dive Into AI for Oil and Gas Exploration

Videos
Training
Blogs
Publications
Community

On-Demand Sessions

Accelerating End-to-End Data Science Workflows

Use NVIDIA RAPIDS™ to apply a wide variety of GPU-accelerated machine learning algorithms, including XGBoost, cuGRAPH’s single-source shortest path, cuML’s k-nearest neighbor (KNN), DBSCAN, and logistic regression, for data analysis at scale.

Learn How to Speed up Data Science Pipelines

Physics-Informed Machine Learning With Modulus

Gain an understanding of the various building blocks of NVIDIA Modulus, the basics of physics-informed deep learning, and how the framework integrates with the overall NVIDIA Omniverse™ platform.

Learn How to Build Physics-Informed Neural Networks With Modulus

High-Performance Computing With Containers

Learn how to reduce complexity and improve portability and efficiency of your code by using a containerized environment for HPC application development.

See How Containers Enable Portable, Bare-Metal Performance in HPC

Learn about NVIDIA Base Command Platform

Build an AI Center of Excellence

Learn how to use NVIDIA Base Command™ Platform to accelerate containerized AI training workloads, identify the tools necessary to build an AI center of excellence, and get the basics of working with, modifying, and running Docker containers from NVIDIA NGC™.

Learn how to use NVIDIA Base Command™ Platform

Tuning and Deploying a Language Model on NVIDIA H100

Transform your AI workloads with the NVIDIA H100 Tensor Core GPU, featuring Multi-Instance GPU (MIG), the Transformer Engine, and NVIDIA AI Enterprise.

Get Experience Running a Transformer Model Using an H100 Dynamic MIG Instance

NVIDIA Inception Program

Explore NVIDIA Inception, the free program designed to help startups evolve faster through access to cutting-edge technology and NVIDIA experts, connections with venture capitalists, and co-marketing support to raise visibility.

Join Inception

NVIDIA Developer Program

Connect with millions of like-minded developers in the NVIDIA Developer Program to do your life’s work, and gain access to free containers, pretrained models, SDKs, technical documentation, and peer and domain expert help.

Join the Developer Program

NVIDIA VC Alliance

Expand and support your portfolio with NVIDIA’s Venture Capital (VC) Alliance, an initiative between NVIDIA and investors around the world who are focused on startups building cutting-edge technology with AI, data science, and HPC.

Apply Now

NVIDIA Partners for Energy

NVIDIA solutions for the energy industry go beyond products. Our partners are here to assist your organization at every level to build and execute transformative AI strategies, products, and services.

Meet Our Partners

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Take the Next Steps

Stay up to Date on NVIDIA News for Oil and Gas in Energy

Request a Meeting

Chat with NVIDIA energy experts to help solve your business challenges.

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