Geophysical Data Model Intermediary for Cross-Validation
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Solution Overview
Problem
Existing geophysical and petrophysical data analysis methods, such as deterministic, Chevron deterministic, and multi-mineral models, differ in how they describe rock formations, leading to challenges in communication and accuracy verification due to different output properties, requiring manual conversion that is prone to human error.
Innovation Solution
A computer-implemented method processes input data using multiple subterranean interpretation models to determine relationships between their output data, transforming and comparing results to accurately determine the characteristics of a geological volume of interest, thereby facilitating cross-method validation and reducing human error.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Measurement precision
If multiple different subterranean interpretation models are used to analyze geological data, then the comprehensiveness and accuracy of formation characterization is improved, but the complexity of data interpretation and communication between users increases
Solution Approach 1:
The patent introduces a standardized output format as an intermediary layer between different interpretation models and users. This mediator translates diverse model outputs (deterministic, multi-mineral, Chevron models) into a unified standardized format, enabling accurate formation characterization through multiple models while simplifying user interpretation and communication.
2Reliability
If manual conversion of output parameters between different models is performed, then flexibility in using multiple methods for validation is achieved, but human error and time consumption increase
Solution Approach 1:
The system implements automated self-service conversion where the standardized output format automatically translates parameters between different interpretation models without human intervention. The system performs its own data transformation and validation, enabling reliable cross-method validation while eliminating manual conversion time and human error.
Solution Approach 2:
The patent replaces the mechanical manual conversion process with an automated computational system. The standardized output format uses algorithmic transformations to convert between model outputs, substituting human manual operations with automated mechanical/computational processes that are faster and more accurate.
3Adaptability or versatility
If different output properties are used by different interpretation models, then each model can optimize for its specific methodology, but communication difficulty and interpretation challenges arise
Solution Approach 1:
The standardized output format serves as a universal interface that accommodates multiple interpretation models with different methodologies. Each model can maintain its optimized output properties while the standardized format provides a common language for communication, enabling both model-specific optimization and ease of user communication through a single unified output structure.
Data Source
AI summary
A computer system and a computer-implemented method for analyzing input data from a geological volume of interest in a subterranean formation. The method includes processing the input data using a first subterranean interpretation model, the first subterranean interpretation model being configured to provide first output data that are representative of characteristics of the geological volume of interest. The method further includes processing the input data using a second subterranean interpretation model, the second subterranean interpretation model being configured to provide second output data that are representative of the characteristics of the geological volume of interest. The method further includes determining a relationship between the first output data and the second output data, and transforming the second output data into the first output data using the relationship to obtain a transformed second output data.


