Data Insights in Oil & Gas

Conventional storage and analytic tools lack the capabilities to extract insights from exabytes of structured and unstructured data. By migrating to AWS, you can make data such as surface and subsurface metadata accessible, meaningful, and searchable. You can transform field planning, optimize drilling and production, improve asset utilization, and reduce costs. With tools to store data more reliably, and to generate deeper insights faster, you can optimize outcomes and accelerate decision making across the value chain from exploration to trading.

AWS Sydney Summit: Oil & Gas IoT Innovation and Cloud Computing | Shaun Gregory, SVP and CTO

Transform exploration and production with AWS Machine Learning

Machine learning with AWS offers oil and gas companies the ability to reduce inefficiencies while accelerating exploration and reducing costs - driving faster project evaluation and selection and improved profitability.

Use cases

  • Seismic Data Storage and Archive
  • Oil and Gas Data Lakes
  • Machine Learning Applications in Exploration
  • Seismic Data Storage and Archive
  • Seismic Data Storage and Archive

    Improve the reliability, accessibility, and security of seismic data with AWS storage services. AWS allows you to enhance geological data with metadata to generate actionable insights and make data searchable, all at a lower cost.

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    Amazon S3

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    Amazon Glacier

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    AWS Lambda

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    AWS Step Functions

  • Oil and Gas Data Lakes
  • Oil and Gas Data Lakes

    From exploration to retail, AWS allows you to easily derive deep insights from a broad set of structured and unstructured data. The applications of data lakes are nearly limitless. Paired with the ability to share data across teams, this can improve the quality and speed of decision making, reduce cost and operational efficiencies, and improve profitability.

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    Amazon S3

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    AWS Lambda

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    Amazon Quicksight

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    Amazon Sagemaker

  • Machine Learning Applications in Exploration
  • Machine Learning Applications in Exploration

    AWS allow explorers to bypass the need for traditional seismic inversion, and other laborious and time-consuming geological characterization exercises, and produce higher resolution 3D models through improved workflows. With AWS ML, you can optimize drilling design, hydraulic fracturing, and formation evaluation, and ultimately improve the efficiency and speed of exploration, drilling, and production.

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    Amazon S3

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    Amazon Sagemaker

Case studies and resources

Woodside Case Study

Woodside uses Amazon to implement predictive maintenance; they were able to quickly scale 200K sensors with a flick of a switch, and create a culture of innovation by enabling rapid prototyping with AWS.

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Oil and Gas Datalakes eBook

Explore how AWS can help Oil & Gas companies turn large datasets into fast-flowing rivers of insight for every part of the business.

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AI/ML Solution Brief

Machine learning with AWS offers oil and gas companies the ability to reduce inefficiencies while accelerating exploration and reducing costs - driving faster project evaluation and selection and improved profitability.

Learn more »

IDC Technology Spotlight: Cloud in the Transformation of Upstream Oil and Gas

Learn how oil and gas companies are implementing new strategies for applying technology to develop a business transformation roadmap. 

Learn more »


Ready to start your AWS journey?

Leading companies in the oil & gas industry are already using AWS. Contact our experts and start your own AWS Cloud journey today.