Tag: energy

Introduction Turbine maintenance is an expensive, high-risk task. According to a recent analysis from the news website, wind farm owners are expected to spend more than $40 billion on operations and maintenance over a decade. Another recent study finds by using drone-based inspection instead of traditional rope-based inspection, you can reduce the operational costs by 70% […]

Customers in the energy industry spend millions of hours collaborating internally and across the organization with external partners such as Engineering, Procurement, and Construction (EPC) contractors over the life of a capital project. The key pain points faced by customers include collating comments, inefficient routing of information, ineffective search, traceability, and auditability. AWS has developed […]

At long last, the ability to innovate subsurface workflows, eliminate data silos, and dramatically improve the efficiency and effectiveness of subsurface teams is becoming a reality. Enabling novel analytical approaches that reduce workload friction requires standardizing data in ways that have never been done before. The Mercury Release of the OSDU™ Data Platform is the […]

Overview There’s a global race underway to bring machine learning (ML) techniques to knowledge workers across every industry that extracts insights from data. Oil and gas is no exception. Many exploration and production (E&P) operators and service companies are exploring the technology to help illuminate patterns in seismic data where fuzzy pattern recognition is at […]

AWS re:Invent routinely fills several Las Vegas venues with standing-room only crowds, but we are bringing it to you with an all-virtual and free event this year. This year’s conference is gearing up to be our biggest yet and we have an exciting program planned for the Energy industry with five keynotes, 18 leadership sessions, […]

Guest authored by Dr. Manas Pathak, Global AI Lead for Oil and Gas at Intel & Dr. Ravi Panchumarthy, Machine Learning Engineer at Intel — Introduction Convolutional Neural Networks (CNNs) offer State-of-the-art performance not only for traditional computer vision applications but also for seismic interpretation. Geoscientists can use CNNs for basin-wide quick look interpretation of […]

Download a Free Copy It’s not news that the global energy sector is facing its biggest challenge in recent history, driven by simultaneous demand and supply shocks that have driven the cost of energy to its lowest levels in history. Leaders in the energy industry, regardless of the company’s size or position in the value […]

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 […]

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 […]