Paleo Event Table Creator for Efficient Paleogeographic Reconstruction
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Solution Overview
Problem
Conventional paleogeographic reconstruction methods are inefficient, requiring the reconstruction of vast geospatial datasets into the geological past, which is computationally demanding and time-consuming, and lack a user-friendly interface for displaying sampled data.
Innovation Solution
A method and system using a tectonic plate model and a Paleo Event Table (PET) creator tool box to sample relevant paleogeographic datasets for a selected Area Of Interest (AOI), allowing users to define a time window and sampling rate, and displaying the data in a user-friendly GUI, reducing computational demands and enhancing data accessibility.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Loss of information
If conventional paleogeographic reconstruction methods are used to reconstruct vast geospatial datasets into the geological past, then complete paleogeographic information is obtained, but computational demands and time consumption increase significantly
Solution Approach 1:
The patent extracts and samples only the relevant paleogeographic datasets needed for the selected Area of Interest rather than reconstructing entire vast geospatial datasets. This selective extraction approach obtains necessary paleogeographic information while significantly reducing computational time and resources required for the reconstruction process.
2Loss of information
If conventional paleogeographic reconstruction methods are used to reconstruct vast geospatial datasets into the geological past, then complete paleogeographic information is obtained, but computational requirements increase significantly
Solution Approach 1:
The system extracts and processes only the necessary paleogeographic data for the specific Area of Interest and time window, rather than computing entire vast geospatial datasets. This selective extraction reduces computational energy requirements while maintaining the completeness of relevant paleogeographic information.
3Measurement precision
If manual selection and analysis of unreconstructed areas is performed, then detailed local analysis is achieved, but the process becomes complex and time-consuming
Solution Approach 1:
The system automatically performs the selection and analysis of unreconstructed areas through the Paleo Event Table creator tool box. The tool box autonomously identifies, samples, and analyzes relevant paleogeographic data without requiring manual intervention, thereby achieving detailed local analysis precision while significantly reducing workflow complexity.
4Reliability
If sampling is limited to times for which paleo reconstructed datasets are available, then data availability is maintained, but the flexibility to analyze any time period is reduced
Solution Approach 1:
The system samples paleogeographic datasets at user-defined time steps within a selectable time window, performing partial reconstruction only where needed rather than requiring complete pre-existing paleo reconstructed datasets for all time periods. This approach maintains data reliability for sampled periods while providing flexibility to analyze any time period of interest.
Data Source
AI summary
A Paleo Event Table creator tool box is described which is induced and/or allows a user to spatially join a selected area of interest of the earth crust to one selected tectonic plate in a tectonic plate model, which selected tectonic plate has an overlap with the area of interest, and to sample a paleogeographic dataset relevant to the area of interest for a series of paleogeographic time steps. A graphical user interface is induced and/or allows the user to create a Paleo Event Table that displays the sampled paleogeographic dataset. The Paleo Event Table creator tool box is used for paleogeographic reconstruction of the earth crust in the area of interest and identifying information relevant for the area of interest.