Impact Assessment and Input Parameters Selection for Stratigraphic Forward Modelling (Sfm)

Abstract

In deep-water reservoirs, predicting geometry of sedimentary bodies and distribution of facies become inefficient due to data limitations. Stratigraphic forward modelling (SFM) appears as an alternate geological modelling method. High uncertainty is related to definition of input parameters and calibration of the SFM models. This study assesses responses and respective sensitivities of models from the Morro do Chaves Formation (Sergipe/Alagoas Basin) by carrying out SFM multi-realizations. These assessments allow the evaluation and reduction of uncertainties to define input parameters capable of generating models more suitable to the data observed.