AWS for Industries
Tag: Oil and Gas
Revolutionizing Oil and Gas Innovation: WellAware and PCC Use Amazon EKS to Propel Customer Success
When Performance Chemical Company (PCC), a family-owned chemical service provider in the oil and gas industry, wanted to digitalize and automate operations, the company set out to innovate. PCC envisioned a simple-to-use offering that would automate key operations and enhance the safety of its services. Its search for an automation solution led it to WellAware, […]
Enhance price capture in energy and commodity trading with AWS machine learning
In the energy and commodity trading industry, traders negotiate transactions with brokers and counterparties directly. These negotiated transactions are called over-the-counter (OTC) deals. Price discovery for OTC deals is unlike price discovery for common equity, options, and other financial instruments, where pricing information is generally market-efficient and available in near real time. In OTC trades, […]
Streamlining Digital Rock Analysis with cloud based workflows
This blog is part 1 of a two-blog series on digital rock and outcrop reconstruction and analysis on AWS. Part 1 will focus on digital rock analysis (DRA) and fluid flow simulation on AWS. Part 2 will focus on digital outcrop models for large-scale structural analysis. The key to accelerating research and production in the […]
Oil Field Tech Company Uses AWS Partner WellAware to Achieve a Net Return of $1.3 Million
An oil field technology company needed a better way to deliver its chemical solutions and services that prevent scale from clogging water pipelines used in oil and gas well drilling. To determine how much scale inhibitor to use, the company must monitor customers’ dynamic water flow rates, a process that used to incur high operational, […]
DHI Uses Data Telemetry to Transform Oil and Gas Industry alongside AWS Partner WellAware
As a service provider for the oil and gas industry, Dalbo Holdings Inc. (DHI) has to navigate harsh conditions in the Texas oil fields. High winds, strong storms, and extreme temperatures create difficult conditions for gathering the reliable data that DHI needs to gain a clear picture of its field operations. Moreover, oil fields are […]
TechnipFMC Uses Accenture to Provide Oil Field Equipment Intelligence and Remote Visibility
Energy technology provider TechnipFMC knows that turning brownfields into smart fields is the future of the energy industry. By using artificial intelligence (AI) to gain insights into remote operations, energy companies can operate more sustainably and cost efficiently, as well as use predictive analytics to fix issues before they become bigger problems. To support its […]
On-demand seismic processing on AWS using GeoTomo’s technology
The seismic methods are the most common and effective ways for subsurface imaging to delineate and characterize oil and gas reservoirs. Seismic data are acquired in the field by deploying a seismic source (vibrator) that radiates elastic waves into the subsurface. The waves travel through the formations and are reflected back due to the variation […]
BKV Breaks Free from Siloed Systems with Cloudwick’s Amorphic Data Cloud for AWS
Across the oil and gas industry, companies struggle to gain insights from data spread across siloed systems and processes. For BKV Corporation (BKV), these challenges were all too familiar, but the energy company recognized that unlocking the full value of its data was necessary for future growth. After a large acquisition in 2020, BKV knew […]
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, […]
Accelerating subsurface collaboration with streamlined raster image rendering
OAG Analytics software running on AWS accelerates collaboration between geoscientists and data scientists with seamless interaction of 100+ GB geo-encoded raster images in a web browser or mobile device. Problem Large geotagged raster images are frequently used as input data to, and are generated by, hybrid machine learning workflows that quantify subsurface resources like hydrocarbons, copper, […]