DSDE: Emerging Technology

The authors of this paper present an autonomous directional-drilling framework built on intelligent planning and execution capabilities and supported by surface and downhole automation technologies.

The authors of this paper discuss a global rate-of-penetration machine-learning model with the potential to eliminate learning curves and reduce time and costs associated with developing a new model for every field.

The authors of this paper describe a project that demonstrated the feasibility of using deep-learning and machine-learning approaches to introduce camera-based solids monitoring to the drilling industry.

An EU project is bringing together 15 partners from seven countries to work on designing and manufacturing superconducting cables to enable more efficient and less costly power transmission from renewable electricity generation sites.

Energy firm Vattenfall has conducted large-scale seabed surveys with uncrewed surface vessels. The company reports positive results, from both climate and safety aspects.

GlobalData’s report "Robotics in Oil and Gas" notes that, while robotics has been a part of the oil and gas industry for several decades, growing digitalization and integration with artificial intelligence, cloud computing, and the Internet of Things have helped diversify robot use cases within the industry.

One of the problems with geothermal is that the rock that is hot enough to create the steam needed to run a power plant is also capable of destroying drilling hardware.

This device lets workers in noisy and windy environments hear through their bones without removing ear protection.

Synthetic data generation is a solution that allows citizen data scientists and auto ML users to quickly and safely create and use business-critical data assets. Benefits go beyond democratizing data access, and even those with privileged data access are building synthetic data generators into their work flows.

This paper describes a novel method based on machine learning to maintain an evergreen competency database. The tool reduces discrepancies between organizational requirements and the actual talent deployment by using unstructured corporate data.