Technology
The multiplayer training platform developed by the Texas A&M Mary Kay O'Connor Process Safety Center and EnerSys Corp. uses artificial intelligence and gaming technology to simulate pipeline emergencies.
Rock Flow Dynamics' donation of its tNavigator software will benefit WVU students studying petroleum engineering, geology, and earth and environmental sciences.
The report highlights the fast evolution of AI with better performance, bigger investment, and rising global optimism. But job concerns, education gaps, and environmental costs reveal a more complex picture.
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Pore-to-process simulation concept refers to coupling all production system elements such as reservoir(s), wells, pipeline network, and facilities. Pore-to-process simulation will enable several what-if scenarios evaluation, identify production bottlenecks, and optimize asset oil- and water-production rates. -
The ability for conventional geothermal to produce both reliable power and heating/cooling is the major differentiator from other renewable forms of energy.
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Being the academic arm of oil and gas exploration and production, petroleum engineering R&D is expected to drive the frontier in petroleum technology. This article identifies and elaborates on five fundamental technological R&D challenges in today’s upstream petroleum industry.
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The oil and gas industry is transforming. It is vital to look at how traditional E&P companies are reforming themselves for the future energy corridor.
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Jet pumps are low-cost items in any application, compared with alternative boosting systems, and can be used effectively to maximize the production performance.
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A generic, multi-purpose reservoir simulator is a tool that every petroleum engineering graduate should have in his or her arsenal. This article overviews the main features a basic reservoir simulation program combines, all doable through a few hundred lines-of-code, regardless of the preferred coding language.
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Can we extract more value from our models? The answer lies in the tools we use and in our approach to modeling.
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SPE is accepting applications for its annual Energy Startup Competition. The deadline for applications is 2 July.
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Fourteen technologies from 14 companies around the world were selected, including five companies receiving small business recognition.
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To develop improved predictive models of complex real-world problems, one needs to pursue a balanced perspective. Ultimately, the physics we know needs to rely on data to unmask the physics that we do not yet know.
