Geophysical Modeling Graph for Subsurface Interpretation Consistency
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Solution Overview
Problem
Traditional geophysical modeling methods are inefficient due to their product-oriented approach, leading to inconsistencies and loss of valuable information, as they do not effectively link interpretation steps and objects dynamically, making it difficult to capture and propagate modifications throughout the interpretation process.
Innovation Solution
A method that involves creating a graph of operations to track and store interpretation steps, allowing for dynamic linking of interpretation objects, where modifications propagate automatically, and enabling the reuse and extension of previous interpretations as templates.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Loss of information
If traditional product-oriented interpretation systems are used, then interpretation results can be stored and reused, but inconsistencies between interpretation objects remain undetected and valuable information is lost
Solution Approach 1:
The system implements feedback by automatically checking interpretation objects for consistency relationships. When an interpretation object is modified, the system propagates the modification and checks for inconsistencies, providing feedback to the interpreter about conflicts that arise. This ensures that valuable information is preserved and consistency is maintained throughout the interpretation process.
Solution Approach 2:
The system introduces an intermediary consistency checking mechanism that mediates between interpretation objects. This intermediary automatically detects and reports inconsistencies between interpretation objects, preventing information loss and maintaining reliability without requiring direct manual comparison between all objects.
2Reliability
If interpreters manually edit interpretation objects to correct inconsistencies, then consistency between objects can be improved, but time is lost and new inconsistencies may be introduced
Solution Approach 1:
The system performs preliminary consistency checking automatically before interpreters manually edit objects. By pre-identifying inconsistencies and their root causes, the system reduces the time interpreters spend on trial-and-error editing and prevents introduction of new inconsistencies through guided correction processes.
Solution Approach 2:
The system provides self-service by automatically detecting and reporting inconsistencies between interpretation objects without requiring manual intervention. The consistency checking mechanism operates autonomously, saving interpreter time while maintaining high reliability standards.
3Loss of information
If data is accumulated instead of deleted to prevent information loss, then valuable information is preserved, but storage requirements increase and processing efficiency decreases
Solution Approach 1:
The system extracts and stores only the essential consistency relationships and provenance information between interpretation objects, rather than accumulating all raw data. This selective extraction preserves valuable information while minimizing storage requirements and maintaining processing efficiency.
4Measurement precision
If conventional interpretation processes are repeated when inputs change, then accuracy can be maintained, but productivity decreases
Solution Approach 1:
The system performs preliminary consistency checking and automatic updates when input data changes, eliminating the need for complete re-interpretation. This maintains accuracy by proactively detecting and correcting inconsistencies while significantly improving productivity through automated processes.
Data Source
AI summary
Method and system are described for modeling one or more geophysical properties of a subsurface volume (102). The present disclosure provides method of modeling the subsurface comprising obtaining one or more subsurface volumes and performing at least two operations (104) on the subsurface volumes. A graph of operations is determined (106) based on each of the at least two operations in which the graph of operations includes a description of each of the at least two operations and a flow path for the each of the at least two operations (108). The graph of operation is stored (110). A specific operation within the graph of operations may then be identified (112). An additional operation may be created and connected to the graph of operations at a node associated with the specific operation to provide an additional branch to the graph of operations (114).