Reservoir
More than 150 researchers will work on the Libra Rocks project, which aims to unlock insights that could improve recovery and reservoir management in one of Brazil’s largest offshore oilfields.
The Middle East’s largest unconventional gas development officially begins production as Saudi Aramco targets 6 million BOE/D of gas and liquids capacity by 2030.
This paper provides an account of the design, implementation, and operational insights from an enhanced geothermal system proppant stimulation targeting a volcanic, dry rock setting with an approximately 330°C bottomhole temperature.
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In this work, microseismic observations are integrated with strain and other observations to investigate the microseismic response in relation to the underlying hydraulic fracture geometry for different rock types. -
This work proposes a method to interpret far-field strain-change and pressure data to quantify fracture connectivity and properties at the cluster level.
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This paper extends an integrated two-scale continuum model that contemplates mass, momentum, and energy changes to study the acid-stimulation process in complex carbonate acid-stimulation systems with the development of fracture and vug networks.
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The authors of this paper write that autonomous outflow-control devices can positively affect matrix acidizing by providing the best possible conformance.
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Three case studies consider the gas-related reasons electrical submersible pumps fail in unconventional shale environments.
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The Texas Railroad Commission has tightened its guidelines on the permitting of disposal wells in the Permian Basin.
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The company’s new Retina imaging system creates high-resolution borehole images at the drill bit.
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This study combines preshear degradation, permeability, and oil presence effects to evaluate and improve polymer injectivity using acrylamido tertiary butyl sulfonate (ATBS) polymer in carbonate rock.
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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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This article presents a comparative study evaluating four machine-learning approaches, including three deep-learning methods, for forecasting gas and condensate production over a 5-year horizon.
