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This paper presents a work flow that has been applied to crossdipole sonic data acquired in a vertical pilot well drilled in the Permian Basin.

This paper highlights solids-management technologies that are currently available and still in use topside (some of which are potentially outdated).

This paper describes a new intelligent dosing technology to reduce liquid loading in an unconventional tight gas reservoir.

This paper explains how machine learning and physiology can be used to improve rig technical training by monitoring the operator’s stress, leading to targeted training to manage such situations better.

The paper provides insights on diffusion in organic matter to correct a primary source of underestimation of gas production in shale-gas models.

This paper presents a mathematical analysis of how incorrect estimates of initial reservoir pressure may affect rate-transient analysis in ultralow-permeability reservoirs.

The key element of hydraulic-fracture modeling is the prediction of the generated fracture geometries. Research conducted over the years has trickled down predictive software. Nevertheless, the ability to design optimal fracture treatments is hampered, as we cannot “see” the subsurface.

In this work, novel physics-based models and machine-learning models are presented and compared for estimating permanent-downhole-gauge measurements.

Drillers are working to find ways to break some bad data habits. Those problems can range from the use of multiple formulas to calculate mechanical specific energy to timekeeping systems where the clocks and the time records are often off.

The French producer has taken final investment decision on the deepwater Begonia field, plus natural gas and solar developments.

ADNOC Drilling and ADNOC Logistics & Services have won the newest round of contracts to develop the mega sour-gas project that will expand the UAE’s production of LNG.

ExxonMobil awarded the consortium the project management, engineering, and installation of the estimated 190-km pipeline.