Stochastic Modeling of Sedimentary Facies on a 3D Geological Grid
The art of estimating rock properties as a game of probabilities
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The process of representing physical properties in a reservoir model consists of understanding their distribution (facies, porosity, permeability, etc.) in an adequate way, this requires the application of a series of criteria and techniques that aim to make a reliable and understandable model based on geological concepts. The present work aims to analyze and apply all the steps required for a successful modeling, among which are data integration, facies representativeness, and application of the appropriate technique for stochastic modeling; this sequence is crucial for an optimal representat...
The process of representing physical properties in a reservoir model consists of understanding their distribution (facies, porosity, permeability, etc.) in an adequate way, this requires the application of a series of criteria and techniques that aim to make a reliable and understandable model based on geological concepts. The present work aims to analyze and apply all the steps required for a successful modeling, among which are data integration, facies representativeness, and application of the appropriate technique for stochastic modeling; this sequence is crucial for an optimal representation. The points taken into account are: Identify sedimentary features using seismic attributes (Coherence, RMS). Analyze electrical well logs in order to identify the vertical resolution of the model and understand the variation of properties around the wellbore. Correlate formation markers that indicate geologic time. Apply Sequential Indicator Simulation (SIS) and calculate facies distribution based on its spatial probability.
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