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The oil and gas industry, notably the completion activity, with its distributed sensors, optical fibers, permanent downhole gauges, sealed-wellbore pressure monitoring, and microseismic, has generated a fantastic amount of data, which has increasingly been properly refined and processed, producing more information—and more oil.

SPE technical papers synopsized in each monthly issue of JPT are available for download for SPE members for 2 months. These March and April papers are available now.

The authors challenge the traditional planning and execution of interventions, both from an operational and commercial standpoint, and examine where room exists for significant improvement in the industry

This paper describes the potential, challenges, and opportunities of using a modified steam-assisted gravity drainage configuration in the Mukhaizna heavy oil field in suboptimal operating conditions.

This study aims at understanding the effect of a surfactant known as a high-temperature emulsifying agent as an additive to the steam-assisted gravity drainage process and the possibility of forming oil-in-water emulsions.

This paper describes the implementation of a hybrid technology of cyclic steam stimulation and foam into the heavy oil field development plans of the Middle Magdalena Valley basin in Colombia.

This paper’s focus is a case study of an Eagle Ford refracturing project in which a range of completion designs were trialed with an approach using offset sealed wellbore pressure monitoring and fiber-optic strain.

SPE President Terry Palisch is joined by Paige McCown, SPE senior manager of communication and energy education, to discuss how members can improve the industry’s public image.

The integration of new technologies and innovative approaches plays a pivotal role in driving sustainable advancements and value gains. These advancements are crucial for enhancing operational efficiency, reducing environmental impacts, and meeting the increasing global demand for natural gas as a key fuel powering the energy evolution.

The authors of this paper propose a hybrid approach that combines physics with data-driven approaches for efficient and accurate forecasting of the performance of unconventional wells under codevelopment.