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Energy Executive David Ferris to Lead the Ronnie K. Irani Center for Energy Solutions at OU’s Mewbourne College of Earth and Energy


David Ferris, a University of Oklahoma alumnus with experience developing multi-billion-dollar strategic plans for large energy-related corporations, has been named the inaugural director of the Ronnie K. Irani Center for Energy Solutions in the Mewbourne College of Earth and Energy at OU.

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The Great Energy Disruption


The energy market is undergoing rapid and transformative change. A plethora of factors are driving a level of disruption not seen since the advent of cars, internal combustion engines and electricity more than a hundred years ago.

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U.S Oil and Gas Market Outlook


Continued growth global oil demand and Saudi-led over-compliance by “OPEC” members to cut production under the terms of their December 2018 production accord have prompted a recovery in oil prices since the start of this year. However...

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University of Oklahoma Students Win International Drilling Competition

The drilling industry has changed considerably in the more than 150 years since the “Drake Well” was drilled, but the principle is still the same: crush rock to make a big hole in the ground.

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Failure is not an option

The drilling industry has changed considerably in the more than 150 years since the “Drake Well” was drilled, but the principle is still the same: crush rock to make a big hole in the ground.

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Artificial Intelligence: a Future for Reservoir-Rock-Typing

Artificial intelligence (AI) systems would increase productivity, quality, and task integration. Moreover, it would reduce the time required for tasks in specific disciplines within the Oil and Gas industry, such as Petrophysics.

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Machine Learning Applied to Shale Image Analysis

Machine Learning has tremendous potential to revolutionize the speed at which large data sets are processed in the petroleum industry; however, caution must be exercised.

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Application of Machine Learning to Petroleum Economics

Machine learning use cases in the Oil & Gas industry have up until recent years been mostly confined to the use of deep learning techniques in seismic interpretation. 

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