首页|Patent Application Titled "Prediction of Permeability Distribution of Deep Burie d Sandstones Using Machine Learning" Published Online (USPTO 20240151868)
Patent Application Titled "Prediction of Permeability Distribution of Deep Burie d Sandstones Using Machine Learning" Published Online (USPTO 20240151868)
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By a News Reporter-Staff News Editor at Robotics & Machine Learning Daily News Daily News-According to news reporting originatin g from Washington, D.C., by NewsRx journalists,a patent application by the inve ntors Al-Masrahy, Ali (Al Khobar, SA); Alghamdi, Ahmed (Dammam, SA); Khidir, Ahm ed (Dhahran, SA), filed on November 8, 2022, was made available online on May 9, 2024. No assignee for this patent application has been made. Reporters obtained the following quote from the background information supplied by the inventors: "Permeability measures the capacity of a porous material to al low fluids to pass through it. Fluids can more easily flow through a material wi th high permeability than one with low permeability. Many factors can affect per meability, for example, the number, geometry and size of interconnected pores, c apillaries and fractures of a porous material, as well as the pressure inside a material. Predicting permeability distribution of subsurface sandstone reservoir s can be a challenging task during reservoir development and exploration stages. "
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