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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 company has released new technology for cloud data lakes. Can the company take data in relatively slow cloud object storage and make queries against it faster?

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

Seismic imaging provides vital tools for the exploration of potential hydrocarbon reserves and subsequent production-planning activities. The acquisition of high-resolution, regularly sampled seismic data may be hindered by physical or financial constraints.

In 2014, a research and development (R&D) project was initiated to increase the life expectancy of Gulf of Mexico (GOM) Miocene and Lower Tertiary water-injection (WI) wells, several of which had suffered a severe loss of injectivity within only a few years of completion.

This paper details the design and execution of what the authors say they believe is the first successful frac-pack operation in a previously gravel-packed well.