Geological Model Guide Surface Iterative Snapping

The patent applies local quality by evaluating data quality locally at each trace position rather than uniformly across all data. The system calculates a quality metric for each trace and uses this to dynamically adjust processing parameters, allowing high-quality regions to be processed more aggressively while low-quality regions receive more conservative handling or are excluded from certain operations.

The patent changes parameters based on data quality assessment. The system modifies processing parameters such as search window size, iteration count, and similarity thresholds dynamically according to the quality metric of the underlying data, enabling adaptive processing that optimizes both speed and accuracy for different data regions.

The patent transitions from sequential 1D trace-by-trace processing to a 2D surface-based approach. By defining a search surface that extends laterally across multiple traces simultaneously, the system can capture dome-shaped and other complex 3D geological features that sequential methods miss. This dimensional expansion allows the algorithm to follow geological features in both lateral and depth directions concurrently.

The patent implements dynamic adaptation by iteratively refining the search surface based on previously found features. The search surface expands and adjusts its shape in subsequent iterations, allowing the system to adapt to the actual geometry of geological features like domes. This dynamic approach enables the algorithm to maintain reliability while capturing complex shapes that static sequential methods cannot handle.

The patent applies local quality by adjusting the search window size based on the quality metric of the underlying data. In high-quality data regions, larger search windows can be used to ensure accurate matching without significantly impacting overall processing time. In low-quality regions, smaller search windows are used to maintain processing efficiency, as the data quality constraints already limit the reliability of extensive searching.

The patent dynamically changes search parameters including window size based on data quality assessment. The system calculates optimal search parameters for each region based on the quality metric, allowing larger windows where data quality justifies the additional processing and smaller windows where efficiency is prioritized. This parameter adaptation resolves the contradiction between matching accuracy and processing speed.