automation

This paper outlines how one company uses digital technologies to manage HSE risks in project delivery, developing an artificial intelligence (AI) predictive model to predict HSE risks and incidents based on historical incident data.

Automated workflow unifies geological, completion, and production data to inform speedier, better investment decisions for nonoperated assets.

Both new and old vessels are benefiting from automation processes that can improve operational efficiency, predict downtime, and debottleneck workflows using a flurry of crucial data points.

This paper presents the design and development of a prototype intelligent water-injection and smart allocation tool aimed at achieving autonomous waterflood operations.

This paper addresses the challenges of integrating huge amounts of data and developing model frameworks and systematic workflows to identify opportunities for production enhancement by choosing the best candidate wells.

This paper described the use of digital twin technology to identify design modifications required at an onshore site and visualize proposed offshore assets for a Trinidad and Tobago development.

The authors of this paper present the results of implementing a rig-automation solution applied to 20 wells in Ecuador in 2022.

This paper describes an autonomous drilling approach using an autocurve-drilling mode to automatically drill curved sections without human intervention and complete autonomous well construction.

This paper presents an approach for automatic daily-drilling-report classification that incorporates new techniques of artificial intelligence.

The oilfield service giant said it has taken another big step toward fully autonomous drilling operations in its latest project offshore Brazil.