dor_id: 4150100
506.#.#.a: Público
590.#.#.d: Los artículos enviados a la "Revista Internacional de Contaminación Ambiental" se juzgan por medio de un proceso de revisión por pares
510.0.#.a: Consejo Nacional de Ciencia y Tecnología (CONACyT); Sistema Regional de Información en Línea para Revistas Científicas de América Latina, el Caribe, España y Portugal (Latindex); Scientific Electronic Library Online (SciELO); SCOPUS, Web Of Science (WoS); Aquatic Sciences and Fisheries Abstracts, Cab Abstracts, Cab Health, Chemical Abstracts, Elsevier Biobase, Elsevier Geo Abstracts, Periódica, Pollution Abstracts, SCOPUS, Water Resources Abstracts
561.#.#.u: https://www.atmosfera.unam.mx/
650.#.4.x: Biología y Química
336.#.#.b: article
336.#.#.3: Artículo de Investigación
336.#.#.a: Artículo
351.#.#.6: https://www.revistascca.unam.mx/rica/index.php/rica/index
351.#.#.b: Revista Internacional de Contaminación Ambiental
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: https://www.revistascca.unam.mx/rica/index.php/rica/article/view/54601/47260
100.1.#.a: Bao, Xiangsheng; Du, Zengli; Meng, Sen; Zhou, Haiyan; Ma, Feiyan; Lin, Chunmin; Liu, Cunge; Li, Yecheng
524.#.#.a: Bao, Xiangsheng, et al. (2023). Improved Prediction Method for Gas Hydrate Saturation in Sea Areas. Revista Internacional de Contaminación Ambiental; Vol. 38, 2023: Environmental Science and Policy for Sustainable Development; 139-148. Recuperado de https://repositorio.unam.mx/contenidos/4150100
245.1.0.a: Improved Prediction Method for Gas Hydrate Saturation in Sea Areas
502.#.#.c: Universidad Nacional Autónoma de México
561.1.#.a: Instituto de Ciencias de la Atmósfera y Cambio Climático, UNAM
264.#.0.c: 2023
264.#.1.c: 2023-08-15
653.#.#.a: Hydrate; stability zone; Shenhu Sea Area; suspension mode; Wood method; hydrate saturation; Wood-ES method; Hydrate; stability zone; Shenhu Sea Area; suspension mode; Wood method; hydrate saturation; Wood-ES method
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 4.0 Internacional, https://creativecommons.org/licenses/by-nc/4.0/legalcode.es, para un uso diferente consultar al responsable jurídico del repositorio por medio del correo electrónico claudio.amescua@atmosfera.unam.mx
884.#.#.k: https://www.revistascca.unam.mx/rica/index.php/rica/article/view/54601
001.#.#.#: 105.oai:ojs.pkp.sfu.ca:article/54601
041.#.7.h: spa
520.3.#.a: Ninety-eight % of the world’s natural gas hydrate (commonly known as hydrate) are distributed in the stability zone of the sea areas. There are also rich hydrates in the stability zone of the Shenhu Sea Area in China. Drilling in the Shenhu Sea Area of China reveals that a lot of hydrate exist in suspension mode. Now the Wood method is for predicting hydrate in suspension mode, but the practical application in the Shenhu Sea Area shows that this method leads to large errors in predicting hydrate saturation. In order to address the problem of low accuracy of the Wood method in predicting hydrate saturation in suspension mode, this paper has first pointed out that the low accuracy of the Wood method is primarily caused by the systematic analytic error of stratigraphic parameters, which is derived from insufficient understanding of sediment composition and porosity in sea area by existing analytic technology. The paper puts forward the Wood-SE method alternatively. The practical application in the Shenhu Sea Area shows that the absolute error of this method mainly falls within the range of -10%, 10%. Most of the absolute error of the Wood method is above 20%. The error of main hydrate occurrence section could even reach 60%.
773.1.#.t: Revista Internacional de Contaminación Ambiental; Vol. 38 (2023): Environmental Science and Policy for Sustainable Development; 139-148
773.1.#.o: https://www.revistascca.unam.mx/rica/index.php/rica/index
022.#.#.a: ISSN impreso: 0188-4999
310.#.#.a: Trimestral
300.#.#.a: Páginas: 139-148
264.#.1.b: Instituto de Ciencias de la Atmósfera y Cambio Climático, UNAM
doi: https://doi.org/10.20937/RICA.54601
harvesting_date: 2023-11-08 13:10:00.0
856.#.0.q: application/pdf
file_creation_date: 2023-08-15 18:52:36.0
file_modification_date: 2023-08-15 18:52:38.0
file_name: fa330b0e178ee739f09198f933b48be3587279038b201ffd224909c81f639dc8.pdf
file_pages_number: 10
file_format_version: application/pdf; version=1.4
file_size: 1409948
245.1.0.b: Improved Prediction Method for Gas Hydrate Saturation in Sea Areas
last_modified: 2024-03-19 14:00:00
license_url: https://creativecommons.org/licenses/by-nc/4.0/legalcode.es
license_type: by-nc
No entro en nada
No entro en nada 2