When the facies variations are neglected, that leads to errors in evaluating well deliverability. More accurate prediction of intervals with better reservoir properties have ultimately been achieved through the comprehensive approach, which includes integrated seismic, core, and log data study and is based on sedimentological analysis and paleoenvironment reconstruction. This approach helps to identify regularities in reservoir formation, lithotypes and facies by their genetic features.
Key words: facies, lithotypes, median grain size, fuzzy logic method
List of refereces
1. Geologicheskoe stroenie i neftegazonosnost' Orenburgskoy oblasti (Geological structure and oil and gas occurrence in the Orenburg region). Orenburg: ONAKO, 1997. – 272 p.
2. Gary N. Sedimentology and Stratigraphy. – Chichester, West Sussex: Wiley – Blackwell, 2009, 419 p.
3. Gibling M.R. Width and Thickness of Fluvial Channel Bodies and Valley Fills in the Geological Record: A Literature Compilation and Classification. Journal of Sedimentary Research, 2006, May 1, 76(5), pp. 731 – 770.
4. Reynolds A.D. Dimensions of Paralic Sandstone Bodies. AAPG Bulletin, 1999, no. 2, V. 83, pp. 211-229.
5. Cuddy S.J. Litho-facies and permeability prediction from electrical logs using Fuzzy logic. SPE (65411), 1998.
