Deriving rock properties from seismic data allow for more accurate and quantitative information about the Earth's subsurface. Well logs allow for the understanding of rock properties to be ground-truthed at well locations. As seismic data spatially cover a greater area than wells, seismic inversion allows for log properties to be derived and interpreted between wells. As seismic inversions are used to extract acoustic impedance properties, we believe that a model-based inversion will allow for reliable acoustic impedance extracted values to help predict porosity and permeability. As a previous study (Almutairi, 2017) established a workflow on a legacy two-dimensional (2D) seismic dataset to extract porosity distributions from 2D seismic data, we look to employ the model-based seismic inversion workflow on a three-dimensional (3D) seismic data set acquired in the Anadarko Basin. The seismic data reveal lateral continuity of the produced Cleveland and Skinner formations and are suitable to provide insight into the porosity and permeability heterogeneity of these reservoirs. Performing a post-stack, deterministic inversion focused on the dual areas of interest establishes the methodology and identifies trends between the formations’ porosity distributions with other depositional properties. Results show further insight into the distribution of two important properties of carbon storage and estimate a range of 7.59 to 26.57 megatons (Mt) of CO₂ storage potential in the study area.
Paiden N. Pruett (Wed,) studied this question.