Integrated Seismic Analysis: Using Model-Based Inversion to Predict Geologic Reservoir Properties

Abstract:

Deriving rock properties from seismic data allows for a more accurate and quantitative information about the subsurface. Well logs allow for the understanding of rock properties to be ground-truthed at well locations. As seismic data spatially covers greater area than wells, seismic inversion allows for log properties to be derived and interpreted between well control. 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. As a previous study (Almutairi, 2018) 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 reveals lateral continuity of the produced Cleveland and Skinner Formations and could provide insight into the porosity of permeability heterogeneity of these reservoirs. Performing a post-stack, deterministic inversion focused on the dual areas of interest will aim to establish the methodology and identify trends between the formations’ porosity distributions with other depositional properties to allow further insight into possible facies changes . Results of the workflow and outcomes will be compared to Almutairi (2018) study. A strong correlation of porosity distribution volumes will allow us to validate the methods as a porosity extraction tool for further integration into seismic data analysis workflows.

Almutairi, K. F.(2018). Assessment Of Upper Cretaceous Strata For Offshore CO2 Storage: Southeastern United States. (Doctoral dissertation). Retrieved from Scholar Commons: https://scholarcommons.sc.edu/etd/4811. Columbia, SC: University of South Carolina