Wavelet transform analysis for lithological characteristics identification in siliciclastic oil fields |
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| Institution: | 1. Programa Estratégico de Matemáticas Aplicadas y Computación, Instituto Mexicano del Petróleo, México D.F., 07730, Mexico;2. Instituto de Matemáticas UNAM, Boulevard Juriquilla No. 3001, Juriquilla, 76230, Mexico;3. Facultad de Ciencias Químicas, Universidad Veracruzana, Xalapa, 91000, Mexico;1. MNR Key Laboratory of Metallogeny and Mineral Assessment, Institute of Mineral Resources, Chinese Academy of Geological Sciences, Beijing 100037, China;2. Instituto de Geociências, Universidade Federal do Rio Grande do Sul, Porto Alegre 90040-060, Brazil;1. UFJF, Faculdade de Engenharia, Campus Universitário, São Pedro, 36036-330 Juiz de Fora, MG, Brazil;2. UERJ, Faculdade de Geologia, Rua São Francisco Xavier 524, 20559-900 Rio de Janeiro, RJ, Brazil;3. Petrobras, Avenida República do Chile, 65, Centro, 20031-912 Rio de Janeiro, RJ, Brazil |
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| Abstract: | In this work, we propose the application of the wavelet transform analysis in well-logs (radioactivity, resistivity and sonic) to identify facies. The wavelet transform is applied to a set of well-log data for identifying correlations between wavelet coefficients and lithofacies sequences. Our results indicate that the scales, in a multiscale analysis, are related to the rock thickness and depending on the scale used it is possible to identify other particular or general sequences. The results obtained are compared and corroborated by standard geological procedures for lithological characterization, indicating that the wavelet analysis provides qualitative guides for the identification of lithological properties in wells. All our analyses are based on a siliciclastic oil field that belongs to Chicontepec Formation of the Tampico–Misantla basin in Mexico. |
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