A Workflow for Multimineralogic Carbonate Rock Physics Modeling in a Bayesian Framework

A workflow for multimineralogic carbonate rock physics modelling in a Bayesian framework: Brazilian pre‐salt reservoir case study

“…One of the main objectives of rock physics modelling is to build a calibrated model accurately representing the reservoir elastic behaviour at calibration well locations and to take advantage of its extrapolation power to estimate elastic attributes away from these locations. For carbonate rocks, theoretical inclusion models have been used to quantitatively understand the main factors driving their elastic attributes (Agersborg, 2007; Xu and Payne, 2009; Fournier et al ., 2018; Adelinet et al ., 2019; Dias et al ., 2019). These models divide the rock in three nested units: matrix, pore network and fluids as we illustrate in Fig.…”

“…Dual‐porosity approaches have been used to quantify the impact of pore‐network stiffness on the elastic properties of carbonate rocks using different rock physics models (Jakobsen et al ., 2003b; Baechle et al ., 2008; Adelinet et al ., 2019; Dias et al ., 2019). Nonetheless, recently, authors have proposed to model carbonate elastic attributes using an averaged or equivalent aspect ratio (Cilli and Chapman, 2018; Fournier et al ., 2018) to represent the pore space impact on carbonate stiffness.…”

“…The main point of doing rock physics modelling is to make predictions, test scenarios and understand the reservoir away from well locations. Rock physics has been successfully used in many areas: seismic reservoir characterization (Mukerji et al ., 2001; Grana and Della Rossa, 2010), quantitative seismic interpretation (Marion and Jizba, 1997; Dvorkin et al ., 2014) and more recently in Pre‐Salt carbonate reservoir studies in 3D and 4D perspectives (Azbel et al ., 2016; Costa et al ., 2016; Codo and Fournier, 2016; Johann and Monteiro, 2016; Teixeira et al ., 2017; Oliveira et al ., 2018; Vasquez et al ., 2019; Dias et al ., 2019). In this regard, there are two common practices in rock physics regarding how the models are parameterized and the matrix properties (density (), bulk and shear elastic moduli ( K and G )) are estimated: –Rock physics templates or standard optimization methods are often used for rock physics model parameterization using deterministic values as initial guesses for each parameter (Ødegaard and Avseth, 2004).…”