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Produced water is a brew of salt, chemicals, and minerals that oil companies have always had to deal with. Landowners had no problem with that arrangement until they could see ways to make some money from it.

SPE welcomes 209 members into the Legion of Honor recognizing 50 years of consecutive membership in the Society.

The authors of this paper describe a procedure that enables fast reconstruction of the entire production data set with multiple missing sections in different variables.

This paper presents an approach to optimize the location of wellhead towers using an algorithm based on multiple parameters related to well cost.

This paper presents a physics-assisted deep-learning model to facilitate transfer learning in unconventional reservoirs by integrating the complementary strengths of physics-based and data-driven predictive models.

The selected list of papers shares some interesting examples to showcase the value added by close collaboration between data scientists and subject-matter experts and how the power of the digital revolution actively revitalizes our industry.

This paper explores electrical submersible generator design considerations, theoretical underpinnings, and potential future applications.

The authors of this paper discuss the effectiveness of smaller port sizes and the use of dummy and Venturi valves to enhance gas lift performance and maximize recovery in mature offshore fields.

Optimizing and continually increasing efficiencies at every stage of the drilling and completion process are central themes in the papers showcased in this feature. Innovating our way through difficult times is what the oil and gas industry excels at, especially during challenging periods. During the COVID-19 pandemic, the offshore energy industry faced immense strugg…

The authors of this paper present an artificial-lift timing and selection work flow using a hybrid data-driven and physics-based approach that incorporates routinely available pressure/volume/temperature, rate, and pressure information.