Facies Modelling

The act of modeling a reservoir using knowledge of the facies that make up the reservoir and the depositional environments that the facies represent. The depositional characteristics will suggest rules concerning the geometries of the facies and the possible relationships between facies, especially where the facies have been related to each other within a stratigraphic sequence or a cyclothem. Facies modeling is often an important component of geostatistical reservoir characterization and facilitates construction of superior reservoir models for complex reservoirs.

iOG can provide below services:

  • Use tools and algorithms to develop geologically realistic 3D models of depositional facies and post-depositional features.
  • A multi-resolution graph-based electrofacies clustering method that determines the optimal number of clusters at different resolutions and allows the geologist to control the final level of detail in the classification
  • Supervised and unsupervised seismic facies classifications based on the Self-Organizing Map Neural Network method, for a more geologically sound classification
  • Waveform shape classifications, map and interval attribute classifications, and multi-attribute classifications adaptable to many different depositional and stratigraphic environments
  • Chronostratigraphic facies modeling solution with optimal geologic grid support for facies models (preservation of distances and volumes)
  • Facies data analysis solutions, including data preparation (e.g. data blocking, smoothing of distributions), trend analysis, seismic-to-well facies classifications, and the creation/ combination of multiple facies proportion volumes
  • Broad set of facies modeling solutions, including multipoint simulations, truncated Gaussian simulations, etc. with trends

You can also visit following pages:

Facies Modeling (Petrel)

  • Deterministic
    • Interactive drawing of facies
    • Seismic volume extraction indicator kriging
  • Stochastic
    • Pixel based (Indicator Simulation (blurred facies, sequential Indicator Simulation or facies transition))
  • Object based (Facies with defined shapes, Object, Fluvial, Adaptive channels