Technical Topics

Explore the methodologies, field applications, design optimization, and environmental challenges of fishbone drilling and how it can be used in both conventional and renewable energy systems.

As the pace of data collection accelerates in the oil and gas industry, the ability to understand and perform statistical analysis becomes increasingly valuable. Professionals who lack a background in statistics can focus on key concepts to improve their understanding.

The university will receive funding for two decarbonization research initiatives.

As AI continues to evolve, the need for energy-powered data centers is on the rise. Data center developers who can make this transition toward a more efficient and greener system will anchor themselves as key players in this growing industry.

Explore the importance of customized approaches for managing produced water from unconventional reservoirs, focusing on extraction methods like horizontal drilling and hydraulic fracturing, and modern treatment techniques such as advanced filtration, electrocoagulation, and biological processes.

Explore how data science has become essential across diverse sectors, how people can learn about data science, and how engineers can transition into this field.

A 2D model of catenary trajectory design is presented. The solutions of the catenary design are in closed form and do not demand thorough numerical estimations. A traditional arc well design is also included to compare the hookload with the catenary trajectory well design.

This article provides an overview of common damage caused by vibrations, the most prominent vibration modes, mitigation methods, and design principles used to diminish vibration effects.

The oil and gas industry is one of the few examples on a global scale of how the need for further production improvement pushes professionals to customize existing models. Physical models are often reworked in order to expand their use in various industries. This article examines ten equations that help drive the petroleum industry.

In the final part of this three-part series, we extend our learning of Part 2 to the multivariate model and train a single model to predict three outcomes: oil, gas, and water.