dor_id: 4141298

506.#.#.a: Público

590.#.#.d: Los artículos enviados a la revista "Geofísica Internacional", se juzgan por medio de un proceso de revisión por pares

510.0.#.a: Consejo Nacional de Ciencia y Tecnología (CONACyT); Scientific Electronic Library Online (SciELO); SCOPUS, Dialnet, Directory of Open Access Journals (DOAJ); Geobase

561.#.#.u: https://www.geofisica.unam.mx/

650.#.4.x: Físico Matemáticas y Ciencias de la Tierra

336.#.#.b: article

336.#.#.3: Artículo de Investigación

336.#.#.a: Artículo

351.#.#.6: http://revistagi.geofisica.unam.mx/index.php/RGI

351.#.#.b: Geofísica Internacional

351.#.#.a: Artículos

harvesting_group: RevistasUNAM

270.1.#.p: Revistas UNAM. Dirección General de Publicaciones y Fomento Editorial, UNAM en revistas@unam.mx

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270.#.#.d: MX

270.1.#.d: México

590.#.#.b: Concentrador

883.#.#.u: https://revistas.unam.mx/catalogo/

883.#.#.a: Revistas UNAM

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883.#.#.1: https://www.publicaciones.unam.mx/

883.#.#.q: Dirección General de Publicaciones y Fomento Editorial

850.#.#.a: Universidad Nacional Autónoma de México

856.4.0.u: http://revistagi.geofisica.unam.mx/index.php/RGI/article/view/1593/1704

100.1.#.a: Vázquez-ramírez, Daniel; Huong Le, Van; Díaz-viera, Martín A.; Del Valle-garcía, Raúl; Erdely, Arturo

524.#.#.a: Vázquez-ramírez, Daniel, et al. (2023). Joint stochastic simulation of petrophysical properties with elastic attributes based on parametric copula models. Geofísica Internacional; Vol. 62 Núm. 2: Abril 1, 2023; 487-506. Recuperado de https://repositorio.unam.mx/contenidos/4141298

245.1.0.a: Joint stochastic simulation of petrophysical properties with elastic attributes based on parametric copula models

502.#.#.c: Universidad Nacional Autónoma de México

561.1.#.a: Instituto de Geofísica, UNAM

264.#.0.c: 2023

264.#.1.c: 2023-04-01

653.#.#.a: Co- simulación; Cópulas; Bernstein; Arquimedeanas; Propiedades petrofísicas; Atributos sísmicos elásticos; Co-simulation; Bernstein; Archimedean; Petrophysical properties; Elastic seismic attributes

506.1.#.a: La titularidad de los derechos patrimoniales de esta obra pertenece a las instituciones editoras. Su uso se rige por una licencia Creative Commons BY-NC-SA 4.0 Internacional, https://creativecommons.org/licenses/by-nc-sa/4.0/legalcode.es, para un uso diferente consultar al responsable jurídico del repositorio por medio del correo electrónico revistagi@igeofisica.unam.mx

884.#.#.k: http://revistagi.geofisica.unam.mx/index.php/RGI/article/view/1593

001.#.#.#: 063.oai:revistagi.geofisica.unam.mx:article/1593

041.#.7.h: spa

520.3.#.a: The spatial stochastic co-simulation method based on copulas is a general method that allows simulat- ing 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 through a non-parametric approach using Bernstein copulas and has been successfully applied for the simulation of petrophysical properties using elastic seismic attributes as secondary variables. In the present work this method is implemented through two other approaches: parametric and semi-parametric. Specifically, for the parametric approach the family of Archimedean copulas is used. First, the parametric approach is validated against a published case, and then a comparison of the three approaches in terms of accuracy and performance is made. The results showed that the parametric approach is the one that reproduces the data statistics worse and presents greater uncertainty with a lower computational cost, while the non-parametric approach was the one that best reproduces the dependence of the data at a high computational cost. The semi-parametric approach reduces the computational cost by 10% compared to the non-parametric approach, but its accuracy is significantly degraded.

773.1.#.t: Geofísica Internacional; Vol. 62 Núm. 2: Abril 1, 2023; 487-506

773.1.#.o: http://revistagi.geofisica.unam.mx/index.php/RGI

022.#.#.a: ISSN-L: 2954-436X; ISSN impreso: 0016-7169

310.#.#.a: Trimestral

300.#.#.a: Páginas: 487-506

264.#.1.b: Instituto de Geofísica, UNAM

doi: https://doi.org/10.22201/igeof.2954436xe.2023.62.2.1593

handle: 00e518c444916bae

harvesting_date: 2023-06-20 17:00:00.0

856.#.0.q: application/pdf

file_creation_date: 2023-03-24 18:13:33.0

file_modification_date: 2023-03-24 19:02:53.0

file_creator: Daniel Vázquez-Ramírez

file_name: 8ac69549954d64b9613c66472dd55ae1bc698a8db76347b6f191dd3e0ebd27aa.pdf

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245.1.0.b: Joint stochastic simulation of petrophysical properties with elastic attributes based on parametric copula models

last_modified: 2023-06-20 17:00:00

license_url: https://creativecommons.org/licenses/by-nc-sa/4.0/legalcode.es

license_type: by-nc-sa

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Artículo

Joint stochastic simulation of petrophysical properties with elastic attributes based on parametric copula models

Vázquez-ramírez, Daniel; Huong Le, Van; Díaz-viera, Martín A.; Del Valle-garcía, Raúl; Erdely, Arturo

Instituto de Geofísica, UNAM, publicado en Geofísica Internacional, y cosechado de Revistas UNAM

Licencia de uso

Procedencia del contenido

Entidad o dependencia
Instituto de Geofísica, UNAM
Revista
Repositorio
Contacto
Revistas UNAM. Dirección General de Publicaciones y Fomento Editorial, UNAM en revistas@unam.mx

Cita

Vázquez-ramírez, Daniel, et al. (2023). Joint stochastic simulation of petrophysical properties with elastic attributes based on parametric copula models. Geofísica Internacional; Vol. 62 Núm. 2: Abril 1, 2023; 487-506. Recuperado de https://repositorio.unam.mx/contenidos/4141298

Descripción del recurso

Autor(es)
Vázquez-ramírez, Daniel; Huong Le, Van; Díaz-viera, Martín A.; Del Valle-garcía, Raúl; Erdely, Arturo
Tipo
Artículo de Investigación
Área del conocimiento
Físico Matemáticas y Ciencias de la Tierra
Título
Joint stochastic simulation of petrophysical properties with elastic attributes based on parametric copula models
Fecha
2023-04-01
Resumen
The spatial stochastic co-simulation method based on copulas is a general method that allows simulat- ing 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 through a non-parametric approach using Bernstein copulas and has been successfully applied for the simulation of petrophysical properties using elastic seismic attributes as secondary variables. In the present work this method is implemented through two other approaches: parametric and semi-parametric. Specifically, for the parametric approach the family of Archimedean copulas is used. First, the parametric approach is validated against a published case, and then a comparison of the three approaches in terms of accuracy and performance is made. The results showed that the parametric approach is the one that reproduces the data statistics worse and presents greater uncertainty with a lower computational cost, while the non-parametric approach was the one that best reproduces the dependence of the data at a high computational cost. The semi-parametric approach reduces the computational cost by 10% compared to the non-parametric approach, but its accuracy is significantly degraded.
Tema
Co- simulación; Cópulas; Bernstein; Arquimedeanas; Propiedades petrofísicas; Atributos sísmicos elásticos; Co-simulation; Bernstein; Archimedean; Petrophysical properties; Elastic seismic attributes
Idioma
spa
ISSN
ISSN-L: 2954-436X; ISSN impreso: 0016-7169

Enlaces