AWS for Industries
Category: Energy
AWS IoT analytics oil and gas customer use case
Learn how an oil and gas company deployed AWS IoT Analytics to help them better understand their assets in the field, derive actionable insights from their data, and build a predictive maintenance solution to help reduce their costs. READ MORE Click here to learn more about Energy on AWS
Interpreting 3D seismic data automatically using Amazon SageMaker
Interpreting 3D seismic data correctly helps identify geological features that may hold or trap oil and gas deposits. Amazon SageMaker and Apache MXNet on AWS can automate horizon picking using deep learning techniques. In this post, I use these services to build and train a custom deep-learning model for the interpretation of geological features on 3D seismic data. The […]
Simplify seismic data management and improve decision-making using serverless solutions
Major oil and gas companies are likely to have seismic data spanning decades and consuming Petabytes (PBs) of storage. This seismic data is often stored across a variety of different storage mediums depending on operational requirements, including: Network-Attached Storage (NAS), Magnetic tapes and USB devices. This data management approach has led to seismic data duplication […]