Unconventional/complex reservoirs
This case study describes how edge computing and industrial internet of things platforms were deployed to automate and optimize production operations across four distinct basins.
Output is rising fast in the South American shale play and putting Argentina on a course to soon reach 1 million B/D.
This case study presents a procedure in which the operator compared production from wells with adjusted wettability to a control group, finding that the adjustments resulted in significant improvements in production and reductions in produced water.
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The purchase includes approximately 260 producing wells and expands Caturus’ footprint in the Eagle Ford and Austin Chalk. -
The asset sale to an undisclosed buyer includes 360,000 net acres in Oklahoma.
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This study reveals how production-induced depletion and geomechanical stress changes influence child-well performance in the Midland Basin, combining coupled simulations and machine learning to guide optimal well spacing, timing, and placement for infill development.
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Evolution Well Services will deploy electric pressure pumping units for Northeast Natural Energy, which operates in the Marcellus Shale.
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Major increases in hydrocarbon production require both incremental and revolutionary technologies, industry leaders said during the SPE Hydraulic Fracturing Technology Conference.
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Enverus projects 2026 activity aimed at gaining access to gas along the Gulf coast and disaggregation of assets.
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The all-stock transaction will create one of the largest shale producers in the US, anchored by a major Delaware Basin position.
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This study integrates recently developed formation testing with advanced petrophysical logging to address limitations of traditional methods in volcanic breccia formations.
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This paper presents an automated workflow deployed for scheduling and validating steady-state production-well tests across more than 2,300 wells in the Permian Basin.
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This paper presents a multifaceted approach leveraging precise rig control, physics models, and machine-learning techniques to deliver consistently high performance in a scalable manner for sliding.
