Multi-Scale Rock Fabric Characterization via Nested Imaging

The patent implements a multi-scale imaging approach where images at different magnification levels are nested within each other. A low-magnitude overview image provides the broad field of view, while high-magnitude detailed images are embedded at specific locations within the overview. This nesting allows the system to simultaneously access both large-scale spatial context and fine-scale rock property details, resolving the contradiction between field of view and measurement precision.

The patent segments the rock sample analysis into multiple scale levels. Instead of attempting to capture the entire sample at one uniform scale, the system divides the analysis into overview regions and detailed regions of interest. This segmentation allows different portions of the sample to be imaged at appropriate scales, enabling both broad coverage and high-precision measurement where needed.

The patent performs preliminary low-magnitude imaging to generate an overview of the entire rock sample before conducting detailed high-magnitude imaging. This preliminary action identifies regions of interest and allows the system to plan subsequent detailed imaging strategically. By preparing the overview first, the system avoids time-consuming full-sample high-resolution imaging while still ensuring comprehensive reservoir characterization through targeted detailed analysis.

The patent applies partial action by imaging only the necessary portions of the rock sample at high resolution. Instead of uniformly imaging the entire sample at maximum detail, the system performs detailed imaging only in regions identified as important in the overview, such as areas containing critical pore structures or mineral variations. This partial imaging approach maintains characterization reliability while significantly reducing time and resource expenses.