Characterization of natural fracture systems (Record no. 189463)

MARC details
000 -LEADER
fixed length control field 02594nab a2200277 4500
008 - CÓDIGOS DE INFORMACIÓN DE LONGITUD FIJA - INFORMACIÓN GENERAL
Campo de control de longitud fija 260224s2015 xxu ing
041 ## - IDIOMA
Idioma Inglés
245 00 - TITULO
Título Characterization of natural fracture systems
Subtítulo Analysis of uncertainty effects in linear scanline results
260 ## - PUBLICACION, DISTRIBUCION, ETC
Lugar de publicación, distribución, etc.
Nombre de publicador, distribuidor, etc.
Fecha de publicación, distribución, etc. dic. 2015
270 ## - FECHA DE CARGA
Fecha de carga 03/03/2016 ; 03/03/2016
300 ## - DESCRIPCION FISICA
Otra extensión 16 p. ; 2203-2219
520 ## - RESUMEN, ETC
Resumen Transcripción del resumen del autor: The exploitation of hydrocarbon reserves in naturally fractured reservoirs composed of different types of rocks has drawn considerable attention from the fracture characterization research community because of the importance of fractures to the prediction of fluid flow. One of the most common methods for rapidly analyzing fracture features is the scanline technique, which provides an estimate of fracture density and frequency. Despite the confidence provided by the systematic use of this method, errors and uncertainties caused by sampling biases exist. The problems caused by these uncertainties can detrimentally affect the construction of a computational model due to misleading trends. This study evaluated the uncertainty caused by sampling biases in the scanline data of opening-mode fractures in outcrops of naturally fractured Aptian laminated limestone from the Crato Formation, Araripe Basin, northeastern Brazil. The Monte Carlo method was chosen to introduce random values into the sampled values, which enabled us to verify the importance of errors in the accuracy of the method of representing the fracture network. In this study, errors and uncertainties were grouped into one parameter, termed the coefficient of uncertainty, which was defined as the ratio between the uncertainties, created by the errors and artifacts introduced artificially, and the original scanline data. The propagation of errors and uncertainties in the scanline data to the coefficients of the corresponding power law were determined. This evaluation can be applied in the construction of more reliable geomechanical models using analog geological models for naturally fractured reservoirs.
581 ## - ESTADO DE COLECCIÓN
Estado de colección 12
773 0# - CORRECCIÓN
Título AAPG Bulletin
Partes relacionadas 99
942 ## - DESC. DE MATERIAL
Tipo de item KOHA Artículo de Revista
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Holdings
Biblioteca propietaria Biblioteca actual Fecha de adquisición Inventario Total de préstamos Inventario Fecha de carga Tipo de item KOHA
Biblioteca Alejandro Angel Bulgheroni Biblioteca Alejandro Angel Bulgheroni 06/03/2026 200061699   200061699 06/03/2026 Artículo de Revista


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