Digital Oil Field
The Seismos full-scale research center opens to industry, universities, and national laboratories, advancing acoustic sensing across upstream energy, pipelines, critical infrastructure, and national security.
This research focuses on combining physics-based expert rules with machine learning to improve the detection of failure-related events in electrical submersible pumps.
A combination of physics principles and machine-learning techniques is used in this work to develop a virtual flowmeter for oil-production optimization in electrical-submersible-pump-lifted oil wells, resulting in reliable generalization.
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Technology is improving continuously to help us with production optimization through new approaches, including downhole multiphase-flow measurement, wireless data gathering, wireless power-transfer methods, and new fluids technology. -
Downhole instrumentation of the Khazzan tight gas appraisal wells provides a rare opportunity to quantify reservoir pressure and temperature dynamics.
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For the planning of an enhanced-oil-recovery (EOR) project in a major mature oil field in east Malaysia, an extensive routine-core-analysis (RCA) and special-core-analysis (SCAL) program has been performed on unconsolidated clastic reservoir rocks.
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At the recent Unconventional Resources Technical Conference in Denver, a direct measurement of what is downhole was a theme of new products offered to operators who see the need for more data on what is working, what is not working, and what could be made to work better.
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This paper presents a new approach in monitoring the hydraulic system and in the recognition of well‑control events at an early stage such that proper counteractions can be initiated before any damage occurs.
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This paper describes field experiences and perspectives on a Smart Fields implementation for the Bonga deepwater field and uses the results of a post-implementation study to evaluate the business effects and lessons learned after 5 years.
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The world’s first offshore gas-hydrate production was carried out successfully in deepwater Japan at Nankai trough in 2013.
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It has been an impressive comeback for a technology that once stood on the brink of failure. The upstream oil and gas industry has largely resolved crippling technical challenges that shortened the life of fiber-optic cables in downhole applications and is now working on a big encore.
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A reservoir-monitoring system has been installed on a medium-heavy-oil onshore field in the context of redevelopment by gravity-assisted steamflood.
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This paper addresses the architecture, implementation, and benefits of complex-event processing (CEP) as a solution for the intelligent field.
