AWS for Industries
The challenge of daily field operator dispatch
Oil and gas operators face a daily challenge determining where field technicians should spend their time to have the biggest impact on increasing production. Production-disrupting incidents happen randomly and can occur with any well on any given day. Additionally, planned preventive maintenance and mandatory inspections are continuously happening across the field, sometimes on the same […]
Remote Sensing and Object Detection
Identifying onshore oil pads on satellite images using Amazon Rekognition In this post, we’re exploring an end-to-end solution for creating an object detection model with Amazon Rekognition to identify oil and gas well pads in satellite images. This low-code solution lets users interact with a pre-trained machine learning (ML) model that identifies well pads with Amazon Rekognition, […]
Digitize downstream operations with AWS energy solutions: how CEPSA’s data democratization journey inspired Refinery Monitoring and Surveillance
Introduction The oil and gas industry is divided into three main sectors: upstream, midstream, and downstream. The downstream business sector includes refining and petrochemical facilities that process petroleum crude oil and raw natural gas into finished products, plus the marketing and distribution of these products. These industries include a complex network of processes, infrastructure, and equipment […]
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 […]



