Daniel Vázquez Ramírez

Daniel Vázquez Ramírez
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Daniel verified their affiliation via an institutional email.
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Daniel verified their affiliation via an institutional email.
National Autonomous University of Mexico | UNAM · Institute of Geophysics

PhD

About

13
Publications
1,130
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26
Citations
Introduction
I'm a geophysicist with a background in statistics, geostatistics, inverse theory and stochastic simulation. I received my Ph.D. with honors in Earth Sciences from the National Autonomous University of Mexico on Joint seismic inversion of elastic and petrophysical properties using copula-based stochastic co-simulation models. My research interests are related to inverse problems, subsurface characterization, stochastic simulations and data science.
Education
February 2019 - February 2023
National Autonomous University of Mexico
Field of study
  • Joint seismic inversion of elastic and petrophysical properties using copula-based stochastic cosimulation models
August 2015 - August 2017
National Autonomous University of Mexico
Field of study
  • Joint stochastic simulation of petrophysical properties with Bernstein copulas using seismic attributes as secondary variables at the well log scale

Publications

Publications (13)
Data
Seismic attributes play a fundamental role in the geological-petrophysical modeling of reservoirs, especially due to their dependency relationship with petrophysical properties. Most of the existing seismic inversion methods with a stochastic approach are based on the use of the Gaussian or normal probability distribution function and linear depend...
Presentation
Full-text available
Seismic attributes play a fundamental role in the geological-petrophysical modeling of reservoirs, especially due to their dependency relationship with petrophysical properties. Most of the existing seismic inversion methods with a stochastic approach are based on the use of the Gaussian or normal probability distribution function and linear depend...
Thesis
Full-text available
Los atributos sísmicos juegan un papel fundamental en el modelado geológico-petrofísico de yacimientos, especialmente por su relación de dependencia con las propiedades petrofísicas. La mayoría de los métodos de inversión sísmica con enfoque estocástico existentes se basan en el uso de la función de distribución de probabilidad Gaussiana o normal y...
Data
This report in PDF contains code in R and notes related to computational implementation of Joint stochastic simulation of petrophysical properties with elastic attributes based on parametric copula models
Article
Full-text available
The spatial stochastic co-simulation method based on copulas is a general method that allows simulating variables with any type of dependency and probability distribution functions. This flexibility comes from the use of a copula model for the representation of the joint probability distribution function. The method has been mainly implemented thro...
Presentation
Full-text available
This work presents a comparison between the convolutional neural networks (a machine learning estimation method) with the Bernstein copula quantile regression (a geostatistical estimation method) for petrophysical property prediction from seismic data.
Presentation
Full-text available
A new methodology for the prediction of spatially distributed petrophysical properties using elastic seismic attributes as secondary variables is presented. The method is based on copula function for the estimation of the joint probability distribution function. The proposed method can model linear and complex nonlinear dependency relationships bet...
Article
A new methodology for the simulation of spatially distributed petrophysical properties conditioned by elastic attributes as secondary variables is presented. The method, namely Bernstein copula-based spatial cosimulation (BCSCS), is based on Bernstein copula for the estimation of the joint probability function and simulated annealing for the spatia...
Poster
Full-text available
In this work we showed a method of modeling the 3D spatial stochastic distribution of petrophysical properties using a model of dependence based on copula with the seismic attributes, where a prior not require specific functions or a high linear dependence between them. Subsequently, it is compared with the traditional method as a Gaussian sequenti...

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