data analytics

Large geological models are needed for modeling the subsurface processes in geothermal, carbon-storage, and hydrocarbon reservoirs. The size of these models contributes to the computational cost of history matching, engineering optimization, and forecasting. To reduce this cost, low-dimensional representations need to be extracted. Deep-learning tools, such as autoenc…

This paper shares details of 2 years of monitoring the first commingled updip smart water injector drilled in the Piltun area of the Piltun-Astokhskoye offshore oil and gas field.

Digital systems are helping ensure US independent Diversified Energy continues to grow and optimize production from its mature assets.

Schlumberger and Cognite have partnered to integrate Schlumberger’s Enterprise Data Solution for subsurface with Cognite Data Fusion, Cognite’s open industrial DataOps platform.

The Norwegian oil and gas major and Vissim, a Norwegian tech firm, have completed a new space-based system for sea surveillance, marine and air logistics, and coordination of offshore activity and emergency response.

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.