AWS for Oil & Gas
Cloud computing to enable digital transformation and fuel innovation in Oil and Gas
With Amazon Web Services (AWS), Oil and Gas companies can accelerate digital transformation, unleash innovation to optimize production and profitability, and improve cost and operational efficiencies necessary to compete under the pressures of today’s global energy market.
AWS allows Oil and Gas companies to streamline and reinvent complex, customized IT workflows to thrive despite low prices, shrinking margins, and market volatility. Explorers can extract deep insights faster to improve field planning, geoscientists can run more demanding HPC workflows and identify potential reservoirs faster and cheaper, and refineries can optimize production with predictive maintenance and predictive inventory planning. Energize the Oil & Gas business and kick start innovation with Amazon Web Services.
Machine Learning Applications in Exploration & Production
AWS advanced machine learning and HPC tools allow oil and gas companies to reduce the time required for seismic data processing from several months to a few days, creating more accurate 3D models of rock and fluid properties that far surpass traditional methods. Learn more about how to tranform exploration and production with AWS machine learning.
IDC Technology Spotlight: Cloud in the Transformation of Upstream Oil and Gas
There are various approaches and strategies that lead to an acceleration of digital transformation in oil and gas companies. IDC believes that cloud-enabled technologies provide the ability to rapidly develop applications that can access data across the enterprise. This Technology Spotlight will focus on showing how leading oil and gas companies should prioritize transformational technologies.
Porosity Prediction Demo
Porosity, permeability, density, and other rock properties are critical pieces of data required to effectively locate and extract oil. However, explorers have incomplete data across horizons because data is collected only at well locations. Machine Learning (ML) can help automatically enhance incomplete datasets by predicting missing data based on known data, thereby accelerating time to first oil and optimizing production. Learn how AWS machine learning can be used to generate and enhance incomplete datasets.
High Performance Computing (HPC) eBook
With HPC on AWS, you can start innovating the way you have always wanted. Whether it is finding oil (seismic processing), producing oil (reservoir simulation), or optimizing production (wellbore, pipeline and facilities simulation), you can stop worrying about the constraints of High Performance Computing (HPC) infrastructure cost and capacity.
Explore benefits in the Oil & Gas Value Chain
Accelerate deeper geological insights to improve decision making in exploration and production, and yield more productive oil extraction. Automate time-consuming processes, and achieve results with greater accuracy.
Sample Use Cases:
- Drilling. Reduce drilling hazards, improve productivity and efficiency.
- Reservoir Simulation. Run models faster and cheaper, optimize extraction, collaborate with ease, improve safety, improve project execution efficiencies.
AWS provides the tools to help midstream pipeline operators increase operational efficiency and compliance in areas such as LNG and gas transportation, pipeline integrity management, and workforce management.
Sample Use Cases:
- Predictive Maintenance. Reduce downtime due to corrosion and other pipeline issues.
- Pipeline Monitoring. Ingest data from SCADA to effectively manage and optimize pipelines.
AWS provides tools to help refineries, petroleum delivery operators, gas retailers, and other downstream oil and gas companies improve cost and operational efficiencies and improve profitability.
Sample Use Cases:
- Single View of the Customer. Collect valuable customer preferences and purchasing data to better engage your customers at every gas station location.
- Trading Optimization. Optimize trading and risks analysis with HPC on AWS.
Reduce time to first oil
Accelerate and optimize exploration, drilling, and production by using AWS machine learning and big data tools to quickly and easily extract powerful insights from structured and unstructured seismic data. This automates time-consuming, error-prone manual tasks, and improves the speed and accuracy of decision making.
More sensors and data
AWS IoT allows you to improve operational efficiencies by connecting sensors at scale, such as with predictive maintenance of pumps in the oilfield and in retail gas stations. And with nearly limitless high performance computing resources, you can quickly process and visualize this growing set of data to generate insights to improve profitability and competitive differentiation.
Reduce the cost per barrel
The AWS global footprint, with its efficiencies from automation and economies of scale, passes on savings to you while reducing management overhead, so you can improve profitability in spite of shrinking budgets. From ML to IoT to storage services, leverage a broad range of AWS services to lower costs while increasing production.
Security and compliance
As an AWS customer, you will benefit from a data center and network architecture built to meet the requirements of the most security-sensitive organizations. AWS supports a broad and complete set of security and compliance programs including NIST and ISO, which help protect business critical data like seismic and trading. The AWS Cloud spans the globe, making it easy to meet regional compliance and data residency requirements.
The Digital Oilfield of the Future: Solutions for the Modern Oil & Gas Company
Learn how oil and gas companies of all sizes are partnering with AWS to run business and technical workflow sin upstream, midstream, and downstream.