AWS for Industries

Category: Artificial Intelligence

How to analyze well drilling reports using natural language processing

September 8, 2021: Amazon Elasticsearch Service has been renamed to Amazon OpenSearch Service. See details. Eighty percent of all company data is unstructured. Energy companies are not the exception. One example is weekly and daily reports for drilling and production activity.  These reports include information about actions performed in the field to remediate common issues during […]

How OAG Analytics leverages AI and machine learning to optimize the profitability of oil and gas wells

In 2013, Luther Birdzell formed OAG Analytics to create an AI platform that enables oil and gas companies to use more of their data to help solve critical problems like well spacing. Today, the OAG-Amazon SageMaker integration enables customers to unify their datasets and create proprietary analyses using virtually unlimited compute. READ MORE Click here […]

Kinect Energy uses Amazon SageMaker to forecast energy prices with machine learning

The Amazon ML Solutions Lab worked with Kinect Energy recently to build a pipeline to predict future energy prices based on machine learning (ML). We created an automated data ingestion and inference pipeline using Amazon SageMaker and AWS Step Functions to automate and schedule energy price prediction. READ MORE Click here to learn more about Energy on AWS

Digging deep and solving problems: Well Data Labs applies machine learning to oil and gas challenges

When CEO Josh Churlik co-founded Well Data Labs in 2014, he was acutely aware of a bizarre dichotomy in his industry: For oil and gas companies, “downhole” innovation (that is, what happens underground) far exceeds the pace of data and analysis innovation. The data systems used then were relics of the 1990s – more homages to history […]

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 […]

Forecasting energy usage using Amazon machine learning and data lakes

Executives within utilities and energy providers of all types and sizes have multiple ongoing needs to forecast energy usage. For example, as chief customer officer, your teams can use energy forecasts at the household level to proactively engage homeowners with high bill alerts and predict pre-pay or month-end energy charges. As the head of energy […]

How to process medical text in multiple languages using Amazon Translate and Amazon Comprehend Medical

Amazon Comprehend Medical is a HIPAA eligible service that uses deep learning to identify and extract relevant information from medical text. The service uses trained Natural Language Processing (NLP) models to identify medical entities and relationships, such as medication, dosage, diagnosis, and Protected Health Information (PHI). This provides an efficient and cost-effective way to mine data […]

Executive Conversations: Jonathan Barouch, CEO, Local Measure

Local Measure is making travel and hospitality more human through technology. CEO of Local Measure Jonathan Barouch joined David Peller, Head of Worldwide Business Development for AWS Travel and Hospitality, for a wide-ranging discussion that uncovered insights into the industry and current landscape. — David Peller (DP): Tell me a little about your business, Local […]