Facies Recognition Using Multifractal Hurst Analysis: Applications to Well-Log Data |
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| Authors: | Eliseo Hernandez-Martinez Teresa Perez-Muñoz Jorge X Velasco-Hernandez Armando Altamira-Areyan Luis Velasquillo-Martinez |
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| Institution: | 1. Programa Estratégico de Matemáticas Aplicadas y Computación, Instituto Mexicano del Petróleo, Eje Central Lázaro Cádenas 152, San Bartolo Atepehuacan, Gustavo A. Madero, Apartado Postal 14-805, 07730, Distrito Federal, Mexico, Mexico
2. Programa de Geología y Exploración, Instituto Mexicano del Petróleo, Eje Central Lázaro Cádenas 152, San Bartolo Atepehuacan, Gustavo A. Madero, Apartado Postal 14-805, 07730, Distrito Federal, Mexico, Mexico
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| Abstract: | Well-log (radioactivity, density and resistivity) analysis constitutes a standard approach for inferring lithology from wells. However, due to inherent complexity of the signals (such as highly heterogeneous deep-water sedimentary sequences) lithology recognition is not straightforward. We used a rescaled range analysis, calibrated with cores, to recognize lithological patterns from signal recorded along wireline logs. The detected intervals coincide with zones of visual electro-facies associations proposed by geologist well-log interpreters. In addition, we propose a rescaled range multifractal analysis to identify ranges of well-log signal complexities, which could be related to sedimentary process variations at specific stratigraphic order cycles. |
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