DSDE: In Practice

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.

Vision analytics is being used to extract insight information from video, with data inferred from existing cameras used to create a monitoring dashboard where supervisors can receive alerts at the worksite level or drill down to specific events.

The University of Texas at Austin will be home to a multidisciplinary research and education initiative, the Energy Emissions Modeling and Data Lab, which aims to address the growing need for accurate, timely, and clear accounting of greenhouse-gas emissions across global oil and natural gas supply chains.

The authors of this paper present a method of retrieving downhole data that is a practical and inexpensive alternative to wireline or slickline logging and permanently installed sensors.

The authors of this paper describe a three-way coupled modeling approach that integrates dynamic, geochemistry, and geomechanics models to obtain cumulative effects of all three changes to evaluate future carbon dioxide storage.

The authors of this paper describe the development and implementation of a data-streaming solution that allows for real-time processing and interpretation of fiber-optics data.