data analytics

Geolog and Petro.ai announced a strategic partnership to deliver data science products and services to the global energy industry.

With a holistic approach to building the digital thread and digital twin, companies can realize improvements in project execution, operational efficiency, sustainability, and revenue.

With so much volatility in the sector, acutely felt by many western consumers, how are intelligent work flows enabling the shift toward alternatives?

Data mining and modern data analysis techniques allow us to do a much better job in finding good field analogies where new approaches to well remediation and restimulation have proven to have a high probability of commercial success.

Supervised learning has many commercial applications; however, such learning lacks the capability to generate new insights and knowledge. In contrast, unsupervised learning discovers the inherent structures in unlabeled data, thereby helping generate new insights and actionable knowledge from large volumes of data.

Schneider Electric University has been designed to help data center professionals expand their skills by offering free guidance on the latest technology, sustainability, and energy efficiency initiatives.

Chief digital and information officer Sandeep Gupta's innovative use of technology has enabled the company to cut costs, reduce time to first oil, and manage decline in production.

The suite of tools includes a digital platform for sharing emissions data, an agreed set of definitions that nails down what different terms mean, a single set of metadata definitions, and an API through which users can access data. When used together, these tools provide an integrated perspective on what emissions are coming from where.

An operator has redefined onsite operations reporting through the development of a standardized set of reporting activity codes as the backbone of a standardized digital well-design and execution process.

This paper presents a screenout-classification system based on Gaussian hidden Markov models that predicts screenouts and provides early warning.