Digital Oil Field
This paper explores how artificial intelligence (AI), cognitive models, and integrated digital tools can transform readiness from periodic drills into a continuous, measurable capability.
This paper presents a competency-centered, data-driven approach implemented to strengthen control-room emergency-response capability through a cloud-hosted, scenario-based virtual plant simulator.
This paper presents an autonomous, data-driven solution designed specifically for intermittent well optimization.
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There is talk about digital oil fields and big data and some striking examples of their power. But in real oil fields, a lot of operators are still running fields with systems relying on big paper. -
For openhole horizontal wells, providing power and data through an umbilical is very challenging.
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The paper describes the hardware and user interface, the procedures for installation and acquisition, and several examples of field data and well-performance analysis for a variety of rod-pumping installations.
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With more than a decade of experience acquired using Venturi/gamma ray multiphase flowmeters (MPFMs), further gains in measurement quality and operational robustness have been achieved.
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Case studies from around the world prove that big rewards await companies that optimize the artificial lift systems keeping their mature fields alive. The success stories involve a mix of monitoring, automation, and performance tracking.
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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.
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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 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.
