Determination of Reservoir Lithology from Seismic Data by a 2D Hidden Markov Random Field Model

In this study, geological prior information is incorporated in the classification of reservoir lithologies using the Markov Random Field (MRF) technique. The prediction of hidden lithologies in seismic data is based on measured<br/>observations such as seismic inversion results, which are associated with the latent categorical variables derived...

An Outcrop-based Detailed Geological Model to Test Automated Interpretation of Seismic Inversion Results

Previously, Tetyukhina et al. (2014) developed a geological and petrophysical model based on the Book Cliffs outcrops that contained eight lithotypes. For reservoir modelling purposes, this model is judged to be too coarse because in the same lithotype it contains reservoir and non-reservoir lithologies. Hence, a new and more detailed geological...