AWS for Industries

Tag: energy

Oil Pump

Improving Safety and Logistics at Well Pads with Amazon Machine Learning Services

Introduction In remote upstream oil and gas facilities, such as well pads, energy companies frequently have various service contractors bringing in items, performing services, and removing items from the site. These facilities most often do not have permanent staff on location. It can be challenging for operators to know who is accessing the facilities. For […]

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drone flying in front of the turbines

Automating Wind Farm Maintenance Using Drones and AI

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% […]

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ExxonMobil-Capital-Projects-Using-AWS

Reduce Collaboration Toil for Capital Projects Using AWS

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 […]

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move data to the center to accelerate workflows

Announcing the AWS Implementation of the OSDU™ Data Platform Mercury Release to Fuel Sustainable Innovation

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 […]

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A comparison of a traditional deep learning workflow to the VDS-enabled deep learning workflow in Bluware’s InteractivAI

How Bluware Simplifies Deep Learning for Seismic Interpretation

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 […]

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Make the most of AWS re:Invent 2020 – Energy Attendee Guide

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, […]

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OpenVINO™ AMI now available on AWS for accelerating oil & gas exploration

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 […]

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Innovation acceleration: Digital transformation is key to energy industry survival

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 […]

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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 […]

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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 […]

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