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There is a growing interest in using nanocomposites to improve drilling-fluid rheology. In recent years, an additive derived from a sequence of graphene-based materials has been reported. The progress of these graphene derivatives has been used as a paradigm for water-based drilling fluids.

Wellbore tortuosity is a term that has steadily increased in relevance to the oil and gas industry over the past decade, but its importance is especially clear in the current environment.

The success of any digital oilfield project is predicated on the quality of the data structure, acquisition, communication, validation, storage, retrieval, and provenance of the data.

To have the flexibility to treat both rich and lean gas wells [up to 100% gas volume fraction (GVF)], a new multiphase pump system has been developed by comparing the different boosting systems performance and analyzing well-by-well production scenarios.

Engineers thrive on making more from less, and this month’s paper selections highlight efforts to improve the efficiency of gas-production operations throughout the world.

The complete paper describes an experimental study performed to investigate the onset of liquid loading in a 6-in. production casing at various inclination angles.

The recurring long-term mitigation of slugging and various flow-assurance phenomena are challenging issues that demand attention and considerable technical effort. The three papers outlined here discuss slightly different issues and approaches to slug-flow phenomena and flow assurance.

The complete paper develops a plausible physical model of the experimentally observed pseudoslug liquid-holdup phenomenon and models physical and hydrodynamic behavior using a dimensional regression modeling approach.

To further reduce backpressure on low-pressure gas wells and increase reserves in a mature gas field, a gas-ejector project was evaluated and proposed.

Advances during the past decade in using convolutional neural networks for visual recognition of discriminately different objects means that now object recognition can be achieved to a significant extent.