Grid Merge – Tensors
Grid Merge
Grid Merge - Tensors
Tensor Processing
Process tensor data, correct drapes and isolate components.
Correction Prioritisation
Apply DC and Trend Corrections to neighbouring regions and continue into. User-specified prioritisation of grids, based on quality.
Merge
Merge multiple grids of varying cell size into a single grid.
Intrepid’s Tensor package and utilities provide the user a workflow to integrate tensor data into regions of scalar data in a region through the use of filtering, continuing, and merging.
Gridded datasets of a region will vary in quality and resolution from one survey to another due to external limitations such as technology or funding. GridMerge allows the user to prioritise grids of higher quality, such as tensors or newer surveys to overlay lower resolution or lower quality grids. GridMerge will then add grids to a complex merged grid following the application of DC Shift, and surface adjustments.
Common Applications/Task
Produce a single clear and coherent grid of a region
