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Drilling change requires training drillers. Leadership matters, as does motivation, engaging displays, and understanding office politics. Four different looks at the human side of drilling productivity improvement.

Recipients of SPE’s 2019 International Awards will be recognized on 1 October, during the SPE Annual Technical Conference and Exhibition in Calgary.

A description of the role of effective reservoir management in increasing the recovery factors for unconventional reservoirs, and a review of the advances in IOR/EOR technologies for unconventionals, as performed by the Energy Industry Partnership Team at the University of Houston.

Operators around the world are focusing on lowering their production costs for both conventional and unconventional assets, while oilfield service companies are responding to customers’ cost-saving requests with incremental improvements in technology, supply chains, automation, and collaboration.

A case study in the deepwater Gulf of Mexico in which pressure transient analysis, fractional flow, and production logging tools were integrated to identify correctly the cause of, and execute an effective remedy for, a well’s productivity deterioration.

The objective of this study was to look at factors that can affect a temperature log and steps that can be taken to improve temperature-measurement accuracy.

Field developers are making bold step-changes to form their optimization strategies on the crests of digital transformation, using massive data analytics, machine learning, cloud computing, and data-sharing strategies for oil and gas fields in all stages of development. This trend will only grow.

This paper presents a data set involving the pumping of multiple, unique chemical tracers into a single Wolfcamp B fracture stage.

What is the definition of offshore-facilities project success in the context of Industry 4.0? Generally, cost, time, and scope are the common project-success indicators. However, I believe we can expand these indicators to the social and environmental areas.

The growing popularity of model-based optimization work flows has resulted in an increase in their application to field cases.