Technology
Founding dean of Missouri S&T’s Kummer College, James D. Sterling, sat down with Joshua Schlegel, associate professor and associate chair of nuclear engineering and radiation science, to discuss why nuclear power is making a comeback and what its resurgence means for the future of energy.
In this interview, Purohit explains why ultrasonic technology is rising as a dominant solution for gas-flow applications and how engineering teams can approach measurement as a tool not just for accountability but also for operational excellence.
Microgrids are no longer niche innovations—they have become a foundational component of modern energy infrastructure. Realizing their full potential will require targeted policy reform, clearer regulatory frameworks, and greater access to innovative financing models.
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Change is inevitable, but the resistance to it, especially in cultural and monetary contexts, can be profound. The deep-rooted dependency on crude oil and internal combustion engines exemplifies this inertia, raising questions about how we might transition to new energy sources without overhauling our entire infrastructure. -
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.
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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.
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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.
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Lithium-rush miners are flocking to Arkansas more than 100 years after an oil discovery in the Smackover Field.
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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.
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This article focuses on the introduction of one of the flow-network-based models called GPSNet that has growing popularity in the literature and shows promising results during our proof-of-concept applications.
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In Part 2 of this three-part series, we dive into a practical example using the production data of Equinor’s Volve field data set.
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In Part 1 of this three-part series, we use long short-term memory (LSTM), a machine learning technique, to predict oil, gas, and water production using real field data.
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Explore the history of Howard Hughes Sr., inventor of the two-cone roller bit, in Part 1 of this two-part series highlighting the Hughes family legacy in the oil and gas industry.
