dor_id: 4133529
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
590.#.#.c: Open Journal Systems (OJS)
270.#.#.d: MX
270.1.#.d: México
590.#.#.b: Concentrador
883.#.#.u: https://revistas.unam.mx/catalogo/
883.#.#.a: Revistas UNAM
590.#.#.a: Coordinación de Difusión Cultural
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/1434/1563
100.1.#.a: Leal F., Jorge A.; Ochoa G., Luis H.; Sarmiento P., Gustavo A.
524.#.#.a: Leal F., Jorge A., et al. (2022). Content of Total Organic Carbon Using Random Forest, Borehole Imaging, and Fractal Analysis: A Methodology Applied in the Cretaceous La Luna Formation, South America. Geofísica Internacional; Vol. 61 Núm. 4: Octubre 1, 2022; 301-323. Recuperado de https://repositorio.unam.mx/contenidos/4133529
245.1.0.a: Content of Total Organic Carbon Using Random Forest, Borehole Imaging, and Fractal Analysis: A Methodology Applied in the Cretaceous La Luna Formation, South America
502.#.#.c: Universidad Nacional Autónoma de México
561.1.#.a: Instituto de Geofísica, UNAM
264.#.0.c: 2022
264.#.1.c: 2022-10-01
653.#.#.a: Formación La Luna; Carbono orgánico total; Imágenes resistivas de pozo; Bosque aleatorio; Análisis fractal y yacimientos no convencionales; La Luna Formation; Total organic carbon; Borehole resistivity imaging; Random forest; Fractal analysis and unconventional reservoirs
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-ND 4.0 Internacional, https://creativecommons.org/licenses/by-nc-nd/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/1434
001.#.#.#: 063.oai:revistagi.geofisica.unam.mx:article/1434
041.#.7.h: spa
520.3.#.a: This research presents an alternative approach to computing the content of total organic carbon using wireline logs and machine learning techniques. Specifically, borehole resistivity imaging, its average resistivity, and gamma rays log are employed to train a regression model. The methodology was applied in La Luna Formation, which has been reported as one of the principal source rocks for Colombia and western Venezuela. This work aims to teach a machine how to recognize patterns between fractal features in borehole images and their content of total organic carbon. Implemented machine learning is based on ensemble learning techniques, in this case, an ensemble of decision trees known as random forest. The working data set totalizes 960 wireline log measurements, randomly split into 80% for training and 20% for validation. The outcome is equivalent to the curve obtained using a semi-log regression of organic carbon measured in core against density log values.The accuracy of this method is high enough to be considered during petrophysics evaluations, showing a root-mean-square error of 0.44% and Pearson’s correlation coefficient of 0.88. The methodology depends on image quality, and anomalies in these data increase the error. The generated model must be recalibrated for other formations, for horizontal and deviated wells, and when logging while drilling imaging is employed.
773.1.#.t: Geofísica Internacional; Vol. 61 Núm. 4: Octubre 1, 2022; 301-323
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: 301-323
264.#.1.b: Instituto de Geofísica, UNAM
doi: https://doi.org/10.22201/igeof.00167169p.2022.61.4.2113
handle: 1b051df3384ee193
harvesting_date: 2023-06-20 16:00:00.0
856.#.0.q: application/pdf
file_creation_date: 2022-09-26 15:59:07.0
file_modification_date: 2022-09-29 18:45:59.0
file_creator: Jorge A. Leal F.
file_name: 29cd7e01022f20d2491216210b0d12e7ecc433db2866ea9b0f4636645661a265.pdf
file_pages_number: 23
file_format_version: application/pdf; version=1.6
file_size: 1575105
245.1.0.b: Content of Total Organic Carbon Using Random Forest, Borehole Imaging, and Fractal Analysis: A Methodology Applied in the Cretaceous La Luna Formation, South America
last_modified: 2023-06-20 16:00:00
license_url: https://creativecommons.org/licenses/by-nc-nd/4.0/legalcode.es
license_type: by-nc-nd
No entro en nada
No entro en nada 2