Facies Recognition Using Multifractal Hurst Analysis: Applications to Well-Log Data
- 602 Downloads
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.
KeywordsWell-log data Electro-facies associations R/S analysis Multifractal analysis Deep-water sequences Cyclostratigraphy
The work was supported by the Mexican Petroleum Institute (IMP) and Y.00114 Sener-Conacyt Project. We are particularly grateful to Honorio Ramirez and Miguel Angel Alarcon for fruitful discussions.
- Delfiner P, Peyret O, Serra O (1987) Automatic determination of lithology from well logs. SPE Form Eval 2:303–310 Google Scholar
- Enikanselu A, Ojo A (2012) Statistical analysis and evaluation of lithofacies from wireline logs over Beleema field, Niger Delta, Nigeria. J Petrol Gas Eng 3:26–34 Google Scholar
- Gressly A (1838) Observations géologiques sur le Jura Soleurois. Neue Denkschr Allg Schweiz Ges ges Naturw 2:1–112 Google Scholar
- Hurst HE (1951) Long term storage capacity of reservoirs. Trans Am Soc Civ Eng 116:770–779 Google Scholar
- Lee SH, Khargoria A, Datta-Gupta A (2002) Electrofacies characterization and permeability predictions in complex reservoirs. SPE Reserv Eval Eng 5:237–248 Google Scholar
- Panda MN, Mosher CC, Chopra AK (2000) Application of wavelet transforms to reservoir-data analysis and scaling. SPE J 5:92–101 Google Scholar
- Qian B, Rasheed K (2004) Hurst exponent and financial market predictability. In: Hamza MH (ed) Financial and engineering applications. MIT Press, Cambridge Google Scholar
- Ramos-Rodriguez H, Zinat D, Tomas M (2008) Registros geofisicos en Mexico. Schlumberger Offshore Services Google Scholar
- Soliman MY, Anseh J, Stephenson S, Mandal B (2003) Application of wavelet transform to the analysis of pressure transient data. In: SPE annual technical conference and exhibition, vol 6, pp 88–89 Google Scholar