DSDE: Emerging Technology

This paper describes the application of a synthetic seismic-catalog-generation method followed by application of a neural network on a seismic data set for an oil-producing field in the North Sea.

Ultimately, the company formerly known as Facebook wants the AI Research SuperCluster system to help it develop artificial intelligence to power the metaverse.

A two-armed autonomous underwater vehicle has been launched for complex inspection and maintenance tasks, embedded in a powerful IT infrastructure that enables both intuitive control and monitoring of the system and effective information flow with the plant operator.

This paper presents a review of virtual reality (VR) in the oil and gas industry through the development of prototypes. The objective was to establish a learning experience and knowledge about VR’s main features, hardware, software, and applications; evaluate the capabilities of various VR solutions in the context of field operator and maintenance training; and develo…

During transfer learning, the knowledge gained and rapid progress made from a source task is used to improve the learning and development to a new target task.

Integrating physics and machine learning combines the best of the two worlds, resulting in higher accuracy, better scalability, and cost efficiency.

A supervised machine-learning algorithm is developed to classify drilling parameters that increase rate of penetration and bit endurance for use in unconventional fields in Australia.

The register aims to help the maritime industry embrace technology advances in artificial intelligence.

The sheer expanse of the deep sea and the technological challenges of working in an extreme environment make these depths difficult to access and study. Scientists know more about the surface of the moon than the deep seafloor. The Monterey Bay Aquarium Research Institute is leveraging advancements in robotic technologies to address this disparity.

The most promising AI approach you’ve never heard of doesn’t need to go big.