Abstract: Embodiments relate to virtualization of digital crown actions based on actions performed with an electronic pen. A technique includes communicatively coupling a smartwatch to an electronic pen, the smartwatch including a rotatable piece, where the rotatable piece controls a plurality of functionalities of the smartwatch. The technique includes receiving data from the electronic pen, and in response to receiving the data from the electronic pen, controlling at least one of the plurality of functionalities.

Abstract: A forming tool for use during a process of converting a glass tube into a glass container, includes a base portion comprising a fluid cavity for containing a fluid and an insertion portion extending from the base portion. The insertion portion includes an external surface sized to fit into an opening of the glass tube. In embodiments, the insertion portion comprises a fluid opening extending from an interior surface thereof to the external surface, the fluid opening configured to deliver the fluid from the fluid cavity between the insertion portion and the glass tube. In embodiments, the forming tool comprises a thermally conductive insert extending through the base portion and the insertion portion, the thermally conductive insert extending through the fluid cavity such that the fluid in the fluid cavity regulates a temperature of the thermally conductive insert.

Abstract: The electrical submersible pump (ESP) is currently the fastest growing artificial-lift pumping technology. Deployed across 15 to 20 percent of oil-wells worldwide, ESPs are an efficient and reliable option at high production volumes and greater depths. However, ESP performance is often observed to decline gradually and reach the point of service interruption due to factors like high gas volumes, high temperature, and corrosion. The financial impact of ESP failure is substantial, from both lost production and replacement costs. Therefore, ESP performance in extensively monitored, and numerous workflows exist to suggest actions in case of break-downs. However, such workflows are reactive in nature, i.e., action is taken after tripping or failure. Therefore, a data-driven analytical framework is proposed to advance towards a proactive approach to ESP health monitoring based on predictive analytics to detect impending problems, diagnose their cause, and prescribe preventive action.

Abstract: The electrical submersible pump (ESP) is currently the fastest growing artificial-lift pumping technology. Deployed across 15 to 20 percent of oil-wells worldwide, ESPs are an efficient and reliable option at high production volumes and greater depths. However, ESP performance is often observed to decline gradually and reach the point of service interruption due to factors like high gas volumes, high temperature, and corrosion. The financial impact of ESP failure is substantial, from both lost production and replacement costs. Therefore, ESP performance in extensively monitored, and numerous workflows exist to suggest actions in case of break-downs. However, such workflows are reactive in nature, i.e., action is taken after tripping or failure. Therefore, a data-driven analytical framework is proposed to advance towards a proactive approach to ESP health monitoring based on predictive analytics to detect impending problems, diagnose their cause, and prescribe preventive action.