Zobrazeno 1 - 6
of 6
pro vyhledávání: '"Felipe Moura de Carvalho"'
Autor:
Mario Costa Sousa, Margaret Rood, Sebastian Geiger, Carl Jacquemyn, Matthew D. Jackson, Felipe Moura de Carvalho, Clarissa Coda Marques Machado Silva, Julio Daniel Silva, Gary J. Hampson, Zhao Zhang
Publikováno v:
Computational Geosciences. 24:641-661
Subsurface reservoir models have a high degree of uncertainty regarding reservoir geometry and structure. A range of conceptual models should therefore be generated to explore how fluids-in-place, reservoir dynamics, and development decisions are aff
Autor:
Mario Costa Sousa, Carl Jacquemyn, Sebastian Geiger, Margaret Rood, Gary J. Hampson, Zhao Zhang, Julio Daniel Silva, Clarissa Coda Marques Machado Silva, Matthew D. Jackson, Felipe Moura de Carvalho
Publikováno v:
Scopus-Elsevier
SummaryFlow diagnostics is a common way to rank and cluster ensembles of reservoir models depending on their approximate dynamic behavior before beginning full-physics reservoir simulation. Traditionally, they have been performed on corner-point grid
Autor:
Antonio A. F. Oliveira, Ricardo Marroquim, Emilio Vital Brazil, Felipe Moura de Carvalho, Mario Costa Sousa
Publikováno v:
Graphical Models. 84:1-14
In the Oil and Gas industry, processing and visualizing 3D models is of paramount importance for making exploratory and production decisions. Hydrocarbons reservoirs are entities buried deep in the earth’s crust, and a simplified 3D geological mode
Autor:
Margaret Rood, Sebastian Geiger, Clarissa Coda Marques Machado Silva, Matthew D. Jackson, Mario Costa Sousa, Carl Jacquemyn, Julio Machado Silva, Gary J. Hampson, Zhao Zhang, Felipe Moura de Carvalho
Publikováno v:
Day 2 Tue, February 21, 2017.
Flow-diagnostics are a common way to rank and cluster ensembles of reservoir models based on their approximate dynamic behaviour prior to commencing full-physics reservoir simulation. Traditionally, flow diagnostics are carried out on corner-point gr
Publikováno v:
The Visual Computer. 28:983-993
This paper proposes a methodology to texture 3D objects with low geometric features from sequentially taken photos. These models pose a challenge to current approaches since they are mainly driven by geometric features—such as contours—that can b
Autor:
Gustavo Pfeiffer, Antonio Krishnamurti Beleño de Oliveira, Felipe Moura de Carvalho, Ricardo Marroquim
Publikováno v:
SIBGRAPI
This paper presents a texture projection and alignment method specifically tailored for objects with low geometric features. A common way to build virtual replicas is to acquire the geometry with a 3D scanner and model its reflectance properties (i.e