Testing page for app

Rapid development of more-accurate simulator engines has given researchers the opportunity to generate sufficient data to train robotic policies for real-world deployment. However, moving from simulation to reality remains one of the greatest challenges of modern robotics.

Researchers have created software that borrows concepts from Darwinian evolution, including “survival of the fittest,” to build AI programs that improve generation after generation without human input.

Four recent deepwater offshore discoveries show exploration is not dead, it is just concentrated offshore.

Increasing accuracy in models is often obtained through the first steps of data transformations. This guide explains the difference between the key feature-scaling methods of standardization and normalization and demonstrates when and how to apply each approach.

The complete paper presents a case study in which offline cementing improved operational efficiency by reducing drilling times and provided significant cost savings.

This study used ultrasonic logging to evaluate reference barrier cells constructed with known defects. The cell concept was developed with an emphasis on low cost and ease of use.

The future of intelligent operations in our industry is being driven by advances from other sectors that have been embraced for petroleum applications. Foundational changes already taking place include advances in the type and volume of data being acquired and how the data are used.

The complete paper presents a discussion of the use of intelligent well completion in Santos Basin Presalt Cluster wells.

This paper presents a fatigue-prediction methodology designed to extend the life of unbonded flexible risers and improve the accuracy of floating production, storage, and offloading vessel response analysis.

Although multilateral and long-reach wells are common, the technological development is not complete. Effective implementation of digital technology requires complementary development of the technology itself.