automation

Digitalization and automation of the drilling process drive the need for an interoperability platform in a drilling operation, where a shared definition and method of calculation of the drilling process state is a fundamental element of an infrastructure to enable interoperability at the rigsite.

Technology uptake aimed at optimizing resources, delivering consistency, and augmenting what humans can do.

The companies plan to develop new artificial-intelligence-powered processes and workflows to optimize oil and gas production.

Industry experts advocate for collaboration to develop and test technology that can reduce emissions without breaking the bank.

The company has agreed using its innovations in automation in an effort to derisk ultradeep offshore drilling for the Brazilian national oil company.

The company behind a 42-mile sand conveyor system is now leaning into autonomous vehicles for proppant logistics.

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.