Three-Dimensional Permeability Inversion Using Convolutional Neural Networks and Positron Emission Tomography

Autor:	Zitong Huang, Takeshi Kurotori, Ronny Pini, Sally M. Benson, Christopher Zahasky
Rok vydání:	2021
Předmět:	Permeability (earth sciences) Materials science medicine.diagnostic_test Positron emission tomography medicine Inversion (meteorology) Biological system Porous medium Convolutional neural network Water Science and Technology
Popis:	Quantification of heterogeneous multiscale permeability in geologic porous media is key for understanding and predicting flow and transport processes in the subsurface. Recent utilization of in sit...
Databáze:	OpenAIRE
Externí odkaz:	https://explore.openaire.eu/search/publication?articleId=doi_dedup___::41a77523401d5b749aa7ad3b939d3362 https://doi.org/10.1002/essoar.10508642.1 Zobrazit plný text záznamu