Testing page for app

This paper presents the results of a 3-year project aimed at mass field implementation of ultrahigh-speed (UHS) electric submersible pump (ESP) systems in western Siberia.

The complete paper explains the steps taken to improve surveillance of beam pumps using dynamometer-card data and machine-learning techniques and reviews lessons learned from executing the operator’s first artificial intelligence project.

On the edge of the Arabian Desert, a megaproject located above the Arctic Circle was given the IPTC Excellence in Project Integration Award.

JPT interviewed Saudi Aramco President and Chief Executive Officer Amin Nasser during IPTC. He discussed the company’s outlook for the new year and the current state of the oil and gas industry.

After 4½ years out of service, the massive Wafra oil field is set to resume production soon, and ensuring a smooth restart is no small order.

Production monitoring requires heightened degrees of precision and efficiency as operations are streamlined and projects are evaluated continuously. This month’s feature focuses on innovative technologies that have been implemented in environments ranging from the Gulf of Mexico to China.

This paper describes a virtual metering tool that can monitor well performance and estimate production rates using real-time data and analytical models, integrating commercial software with an optimization algorithm that combines production and reservoir information.

This paper discusses the effectiveness of third-generation (Gen3) production-logging-tool (PLT) technology, which uses co-located digital sensors for simultaneous acquisition of flow data to provide the most accurate characterization of the flow condition at each depth surveyed.

One would think that, in these challenging times, high-pressure/high-temperature technology and projects would be put on the back burner, with everybody chasing zipper-fractured barrels from shale. Well, it is not so.

This paper describes an accurate, three-step, machine-learning-based early warning system that has been used to monitor production and guide strategy in the Shengli field.