drilling optimization

This paper highlights nontraditional methods to cure oil-based-mud losses in horizontal wells drilled in unconventional plays.

The authors of this paper write that the use of high-angle wells through anisotropic shale formations represents a promising approach to improving oil recovery while reducing the overall number of wells required.

This paper highlights the continuous improvement of multilateral technology used in the Middle East by demonstrating how the application of a multilateral well strategy is a proven and reliable method to reduce time-intensive operations.

This comprehensive review of stuck pipe prediction methods focuses on data frequency, approach to variable selection, types of predictive models, interpretability, and performance assessment with the aim of providing improved guidelines for prediction that can be extended to other drilling abnormalities, such as lost circulation and drilling dysfunctions.

This paper evaluates the effect of rapid cooling on the rock-cutting process and incorporates this effect as a component of drilling-performance optimization.

This paper proposes a methodology for preventing drillstring fatigue and failure in deep wells with large shallow doglegs.

In this paper, the authors propose a regression machine-learning model to predict stick/slip severity index using sequences of surface measurements.

This selection of cutting-edge articles spotlights how experimental concepts are now driving cost-saving strategies in unconventional development. It’s a reminder that innovation often comes from creative thinking, not just new tools or tech partnerships.

The proposed facility would be used to accelerate innovations in lithium extraction, carbon storage, and geothermal energy in addition to oil and gas technologies.

This paper analyzes the interaction of high-frequency torsional oscillations (HFTO) with lateral vibrations based on a model that accounts for the superimposed movement of whirl and HFTO at the bit.