Reservoir characterization
This paper presents a novel methodology for assessing the rapid mineral carbonation of carbon dioxide through geochemical interactions with carbon-, magnesium-, and iron-rich minerals abundant in geological formations.
This study integrates physics-based constraints into machine-learning models, thereby improving their predictive accuracy and robustness.
This paper introduces a machine-learning approach that integrates well-logging data to enhance depth selection, thereby increasing the likelihood of obtaining accurate and valuable formation-pressure results.
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Total is expanding its development and use of artificial intelligence to bolster its exploration work, collaborating with Google Cloud—which is stepping up its presence in the oil and gas industry. -
An ensemble-based 4D-seismic history-matching case is presented in the complete paper. Seismic data are reparameterized as distance to a 4D anomaly front and assimilated with production data.
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Indy Chakrabarti, senior vice president of product management and strategy at Emerson Automation Solutions talks about developments in software solutions for the oil and gas industry.
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The feasibility test conducted offshore Abu Dhabi demonstrated the successful and safe deployment, seismic-data acquisition, and retrieval capabilities of the AMV and 3D sensor array.
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Integrated surveillance is critical for understanding reservoir dynamics and improving field management. A key component of the surveillance is areal monitoring of subsurface changes by use of time-lapse geophysical surveys such as 4D seismic.
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The complete paper proposes an azimuthal plane-wave-destruction (AzPWD) seismic-diffraction-imaging work flow to efficiently emphasize small-scale features associated with subsurface discontinuities such as faults, channel edges, and fracture swarms.
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The purpose of the complete paper is to create a performance-based reservoir characterization by use of production data (measured rates and pressures) from a selected gas-condensate region within the Eagle Ford Shale.
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The complete paper aims at a better understanding of the effect of channel content in complex fluvial channel systems on well-test-derivative responses.
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Many startup companies promote the wonders of analytics but few can ensure that the methods used and data generated live up to the hype.
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ConocoPhillips and Statoil Petroleum have signed a joint-sponsorship-development agreement with Visuray Technology to fund development of a downhole cement-integrity-evaluation technology that will have the capability of evaluating cement integrity even behind multiple casing strings.
