DIAZ VIERA, MARTIN ALBERTO
MATEMÁTICAS · Nivel 2
Desde 2003 es Scientific Researcher en Instituto Mexicano del Petróleo
Información*
| Nombre | MARTIN ALBERTO DIAZ VIERA |
|---|---|
| Área | FÍSICO-MATEMÁTICAS Y CIENCIAS DE LA TIERRA |
| Campo | MATEMÁTICAS |
| Disciplina | INVESTIGACIÓN OPERATIVA |
| Especialidad | MODELACION DE SISTEMAS TERRESTRES |
| CVU | 25005 |
| Institución | |
|---|---|
| Dependencia | DIRECCION DE INVESTIGACION CIUDAD DE MEXICO |
| Entidad | CIUDAD DE MEXICO |
| Nivel | 2 |
| Vigencia | Inicio: 01/01/2022 |
| Fin: 31/12/2026 |
* Información del primer trimestre de 2026.
Fuente: SECIHTI.
Publicaciones ORCID
- 2026
- Bridging fracture modeling and 3D printing for permeability evaluation in synthetic rock cores Geoenergy Science and Engineering
- A novel methodology for geological modeling using a multilayer perceptron with supervised learning based on an implicit approach Revista Mexicana de Ciencias Geológicas
- Galerkin physics-informed neural network approach for inverse problems. Application to estimation of tracer dispersion in porous media Computational Geosciences
- Joint geostatistical seismic inversion of elastic and petrophysical properties using stochastic co-simulation models based on parametric copulas Petroleum Science
- A copula-based variational autoencoder for uncertainty quantification in inverse problems: Application to damage identification in an offshore wind turbine e-Journal of Nondestructive Testing
- 2025
- A mathematical model of NMR transverse relaxation for pore size distribution estimation in porous media Journal of Magnetic Resonance
- Numerical modeling of effective elastic properties for heterogeneous porous media. Application to a case study of a carbonate reservoir rock sample International Journal of Engineering Science
- Comparison of Trivariate Copula-Based Conditional Quantile Regression Versus Machine Learning Methods for Estimating Copper Recovery Mathematics
- 2024
- Parallel computing for efficient calculation of multidimensional Bernstein copulas in modeling nonlinear dependence between random variables ECORFAN Journal Republic of Cameroon
- Fast procedure to compute empirical and Bernstein copulas Applied Mathematics and Computation
