DSDE: In Practice

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.

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.

The objective of this study is to conduct a comprehensive review of the latest technologies and work flows developed for heavy oil reservoir management.

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.

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.

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.

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.

The authors of this paper show the migration of a CO2 plume within a depleted carbonate reservoir and the expected effects of CO2 saturation and pressure buildups during injection on time lapse 4D seismic for conformance monitoring.

This paper introduces a measurement system that is agile for transport and can be installed anywhere with a small footprint while delivering reasonably accurate results.

This paper describes how a surveillance, analysis, and optimization plan was used to resolve subsurface uncertainties and optimize a reservoir development plan and provides lessons learned and best practices.