Pular para o conteúdo principal
  • Portal do Governo Brasileiro
  • Atualize sua Barra de Governo
Início
Buscar: Pesquisador(a) | Publicação
Portuguese Chinese (Simplified) English French German Korean Russian Spanish Swahili Yoruba

Menu principal

  • PESQUISADORES
  • REVISTAS
  • ASSUNTOS
  • PUBLICAÇÕES
Início Methodology for the Permeability Prediction using Spatial Encoding of the Magnetic Field in Nuclear Magnetic Resonance (NMR)

Methodology for the Permeability Prediction using Spatial Encoding of the Magnetic Field in Nuclear Magnetic Resonance (NMR)

Título: 
Methodology for the Permeability Prediction using Spatial Encoding of the Magnetic Field in Nuclear Magnetic Resonance (NMR)
Autor: 
Rodrigo Bagueira de Vasconcellos Azeredo
Ano: 
2021
DOI: 
10.22564/rbgf.v38i3.2060
Revista: 
Revista Brasileira de Geofísica (Impresso)
ISSN: 
18094511
Home: 
[doi:10.22564/rbgf.v38i3.2060]
Idioma: 
Português
Buscar essa publicação no Google Acadêmico

Publicações com a mesma autoria

Computing Effective Permeability of Porous Media with FEM and Micro-CT: An Educational Approach
Pore size distribution from NMR and image based methods: A comparative study
Systematic Generation and Detection of High Diffusional Eigenmodes at Low Magnetic Fields
Droplet Size Distribution in Water-Crude Oil Emulsions by Low-Field NMR
Progressive structural deterioration of an endodontic instrument - A preliminary micro-computed tomography study
A data mining approach for automatic classification of rock permeability
Synthesis and antitumor evaluation of hybrids of 5,8-dioxo-5,8-dihydroisoquinoline-4-carboxylates and carbohydrates
Combining classification and regression for improving permeability estimations from 1 H NMR relaxation data
Estimating the surface relaxivity as a function of pore size from NMR T2 distributions and micro-tomographic images
Personal computer-based digital petrophysics
  •  
  • 1 de 4
  • próximo ›

Sobre o site | Fale conosco

Versão Alpha. As informações contidas neste site foram importadas do Lattes no dia 20/04/2022.