Lithology Classification

LithoSI quantifies uncertainty in seismic lithology and fluid prediction. Using multiple elastic parameters from the inversion of seismic data, LithoSI performs a supervised Bayesian classification to deliver probability cubes of predicted lithology or rock properties. LithoSI is part of the StrataVista seismic reservoir characterization platform.

Hydrocarbon sand probability from LithoSI displayed with a threshold of 0.8 for a single micro-layer within a Vp/Vs attribute volume.

FEATURES

• Flexible technique using multiple elastic attributes
• Modelling of multi-variate probability density functions of arbitrary shape
• Solution for sparse well data using rock physics simulation
• Integrated inversion and classification workflow

BENEFITS

• Superior definition of lithology classes
• More accurate assessment of lithology probabilities
• Stratigraphic framework facilitates interpretation
• Net-to-gross ratio maps from litho-classification
• 4D fluid classification using time-lapse seismic data

<< CLICK TO COMPARE >>
Shale Probability	Water Sand Probability	Hydrocarbon Sand Probability	Most Probable Facies

LithoSI is able to design complex multi-variate probability distribution functions to ensure that lithologies are properly classified and their probabilities accurately defined. The resulting probability litho-cubes enable the reservoir engineer to make a full assessment of the uncertainty in the range of net-pay scenarios and reduce the production risks. A composite cube of the most probable facies is an additional way to view the results, and a powerful tool for seismic reservoir interpretation.