Unconventional/complex reservoirs
Three case studies consider the gas-related reasons electrical submersible pumps fail in unconventional shale environments.
The Texas Railroad Commission has tightened its guidelines on the permitting of disposal wells in the Permian Basin.
Strathcona doubles down on heavy oil—sells Montney assets for nearly CAD 3 billion, grabs Canada’s top crude-by-rail hub, and sets sights on MEG Energy in bold growth move.
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The latest deal from Denver-based Civitas Resources brings its spending total this year to almost $7 billion. -
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.
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As production dynamics evolve over the full life cycle of a tight-oil play, a single artificial lift method may not be the most cost-effective solution.
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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.
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This paper focuses on characterization of fracture hits in the Eagle Ford, methods to predict their effects on production, and mitigation techniques.
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SponsoredWhat are we, in the upstream oilfield service companies, doing about it? The Middle East upstream oil and gas industry is shifting its focus to unconventional and tight-gas resource development.
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Diamondback Energy has agreed to spin off its water operations. Now, who’s next?
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On a pro forma basis, the mineral and royalty arm of the Midland-based oil company owns interests covering more than 32,000 net acres in the Permian Basin.
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SponsoredThe data that comes with mapping flow behavior at the stage level of unconventional wells was once accessible only through the installation of costly and intrusive diagnostic methodologies like fiber optic or running production logging. New-generation FloTrac ultrahigh-resolution nanoparticle tracer technology with subatomic spectroscopic measurement techniques now de…
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The authors of this paper analyze a robust, well-distributed parent/child well data set using a combination of available empirical data and numerical simulation outputs to develop a predictive machine-learning model.
