DSDE: In Practice
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This paper describes the building of a geomechanical model for an offshore field that integrated drilling, geology, petrophysics, and reservoir data to play a major role in the drillability and deliverability of the reservoir.
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This paper describes a solutions hub that integrates engineering tools to maximize value and improve decision quality using recent digital technologies.
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This paper presents autonomous-inflow-control-device installations in multiple horizontal wells of the Singue oilfield development in Ecuador.
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The authors of this paper describe an initiative taken to measure baseline data for methane emission for gas-processing facilities and gas-transmission and regasification units by using accurate tools and methodologies for detection and quantification.
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This paper presents an automated calibration process, probabilistic infill well ranking, and location optimization for a major heavy oil field in Colombia with original oil in place of more than 5 million STB.
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The objective of this study is to conduct a comprehensive review of the latest technologies and work flows developed for heavy oil reservoir management.
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This case study highlights the effectiveness of unmanned aerial systems in enabling land-based operators to assess the relative seriousness of leaks efficiently by both localizing and quantifying their methane emission rates.
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Over 1,000 hours of remotely monitored continuous production was achieved on an unmanned platform—a first for standalone offshore solids management in the North Sea.
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The authors of this paper write that 4D data are an integral part of a reservoir-management program and, together with geological and production history data, are being used to update reservoir models to further the goals of field development.
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This paper discusses how methane detection from oil and gas infrastructure using remote sensing technologies enables operators to quantify and minimize the emissions while gaining insight and an understanding of their operations through data analytics.
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