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This work focuses on the development of specific methodologies to support managed-pressure-dilling (MPD) operations implemented on real-time diagnostic software.

The US shale sector continues to disrupt global oil markets. Soaring US crude production and the resulting exports to Asia and Europe, are transforming worldwide trade flows and changing how consumer countries price crude.

Well spacing optimization is one of the more important considerations in unconventional field development.

To continue to advance optimization in new-well completions, to cost-effectively restimulate existing wells, and to enhance recovery, will require capacity for laboratory studies and field trial programs and implementation of a range of analytical methodologies.

This work describes a heuristic approach combining mathematical modeling and associated data-driven work flows for estimating reservoir-pressure surfaces through space and time using measured data.

Digital transformation supported by data analytics and artificial intelligence can be the differentiator that allows the upstream industry to persist in the next 100 years, providing a unique foundation for innovation to enhance general public awareness and life quality.

The authors examine methods of adopting an aggressive approach to optimizing stimulation design to lower the break-even level of operations and evaluate the results.

This paper reviews the IOR/EOR technologies currently being applied to unconventional oil reservoirs.

While sand control in production wells catches much attention, water-injection wells also are subject to sand-control problems triggered by water hammer, cross flow, and backflow. Newly developed screens for water-injection wells have been demonstrated with promising results.

The authors present a novel data-driven tool for fast fracture identification in post-stack seismic data sets.