New Release: Bayesian Facies Classification in LTrace Inversion Suite for OpendTect
We are thrilled to launch our new Bayesian Facies Classification module for OpendTect! This tool enables the estimation of the most likely facies model along with probability maps for each facies.
Given a pair of seismic attributes and a set of well logs, facies are estimated based on the Bayesian posterior probability. This probability is defined by the product of a prior facies proportion and the bivariate conditional probability of the attributes given the facies, which is derived from the well logs. The most likely facies model is obtained by identifying the facies with the maximum posterior probability.
Key Features:
We designed an interactive interface to make this advanced workflow efficient and user-friendly:
📊 From Logs to Probability: Automatically compute Probability Density Functions (PDFs) for seismic attributes directly from your well logs.
🖱️ Interactive Crossplots: Visually manipulate PDFs to refine your facies definitions on the fly.
⚡ Instant Results: Experience instantaneous classification updates as you adjust parameters, perfect for testing different scenarios.
✅ Easy QC: Seamlessly validate predicted facies probabilities against reference data to ensure confidence in your interpretation.
Level up your quantitative interpretation! 👇
Interest in a trial for the LIS plugin? Send a message to Leandro Passos de Figueiredo and get started.
Don’t forget to take advantage of our release discount available for a limited time! 💸
#Geophysics #SeismicInversion #Bayesian #ReservoirCharacterization #QuantitativeInterpretation
