Development of multimodal/multidimensional image registration tools

Abstract

Understanding petrophysical properties is crucial in assessing subsurface reservoirs and exploiting hydrocarbon reserves. Modeling these properties using imaging and image analysis techniques when measurements cannot be made is becoming more common in industry as numerous imaging techniques that span a range of scales have become more widely available. Coupling information at different scales will lead to not only upscaling results from the pore to core and log scale but also to better understanding of the pore and grain structure of the formation, and thereby, its petrophysical properties. Accordingly, a range of registration techniques have been developed to integrate data from various imaging modalities. However, some challenges remain in rigorous registration due to artifacts arising from experimental procedures. Thus, this study aims to develop an image registration workflow linking the various imaging modalities by employing a proper mathematical optimization process to minimize spatial errors to acceptable limits. Note: This paper was accepted into the Technical Program but was not presented at IMAGE 2022 in Houston, Texas.