Stochastic Modeling from Ponta Grossa Formation: Integrating Outcropping and Subsurface Data

Abstract

Summary Build a geological 3D framework based on the interplay between subsurface-outcrop integration, and data scarcity represents a tough task for geoscientists. In a basin-scale, it is paramount to reduce the quandary related to either limited areas with clusterization or extensive areas with voids by using a pragmatic methodology. This work aims (i) to present an efficient methodology for explorational scale, which correctly represents the geology even with lack of entry-data; (ii) to test the method, by using as a case of study the sediments from Ponta Grossa Fm., Parana Basin; (iii) to validate the method, by using QA, and (iv) to compare with the preconceived analogical interpretation made by several authors. Two stochastic models were generated comparing SIS technique without using a variogram (pure Monte Carlo) with the SIS using the cell size variogram. The simulations had distributed the processed lithofacies, demonstrating the general trend of sand bodies observed in the field. The P50 represented the expected stacking pattern for this sort of high-energy environment. The proposed model had represented the overall stratigraphy. This work represents a partial model that should be compared with forward stratigraphic modeling that utilizes Navier-Stokes set of equations.