首页|Studies from School of Geosciences Have Provided New Data on Machine Learning (U nraveling hidden relationships between seismic multi-attributes, well dynamic da ta, and Brazilian pre-salt carbonate reservoirs productivity: a shallow versus d eep ...)
Studies from School of Geosciences Have Provided New Data on Machine Learning (U nraveling hidden relationships between seismic multi-attributes, well dynamic da ta, and Brazilian pre-salt carbonate reservoirs productivity: a shallow versus d eep ...)
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By a News Reporter-Staff News Editor at Robotics & Machine Learning Daily News Daily News – Data detailed on artificial intelligen ce have been presented. According to news reporting originating from Norman, Okl ahoma, by NewsRx correspondents, research stated, “During the initial phases of an EP project, the most reliable data on the reservoir s deliverability are acqu ired via drill stem tests (DST), which provide productivity per flow units, when ever production logging tool (PLT) data are available. However, DSTs are restric ted to a few kilometers, whereas seismic data cover large areas.”
School of GeosciencesNormanOklahomaUnited StatesNorth and Central AmericaAlkaliesAnionsCarbonatesCarboni c AcidCyborgsEmerging TechnologiesMachine Learning
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