首页|New Findings from University of Technology in the Area of Machine Learning Repor ted (Integrated Analysis of Wireline Logs Analysis, Seismic Interpretation, and Machine Learning for Reservoir Characterisation: Insights From the Late Eocene M ckee ...)
New Findings from University of Technology in the Area of Machine Learning Repor ted (Integrated Analysis of Wireline Logs Analysis, Seismic Interpretation, and Machine Learning for Reservoir Characterisation: Insights From the Late Eocene M ckee ...)
扫码查看
点击上方二维码区域，可以放大扫码查看
原文链接
NETL
NSTL
By a News Reporter-Staff News Editor at Robotics & Machine Learning Daily News Daily News – Researchers detail new data in Machine Learning. According to news reporting out of Seri Iskandar, Malaysia, by NewsRx editors, research stated, “This study aims to integrate seismic and well data f or re-assessment and delineating the geological and petrophysical characteristic s of the Late Eocene McKee Formation. Despite the McKee Formation being a hydroc arbonproducing field, there have been no previous integrated studies conducted t o characterize its deposits in the Taranaki Basin.” Funders for this research include Universiti Teknologi PETRONAS, Institute of Hy drocarbon Recovery (IHR), GR T Grant, YUTP.
Seri IskandarMalaysiaAsiaCyborgsEmerging TechnologiesMachine LearningUniversity of Technology
NETL
NSTL
