Subsurface Model Dimensionality Assignment for Earth Characterization
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Solution Overview
Problem
Current methods for subsurface exploration, such as seismic tomography, face challenges in accurately characterizing subsurface regions for resource extraction due to limitations in data interpretation and model resolution, leading to inefficiencies in drilling, fracturing, and production operations.
Innovation Solution
A method and system that identify sub-regions within a subsurface region and assign them different dimensionalities based on various models, using a model-based computational framework to generate and consolidate results, enhancing the accuracy of earth models for improved resource extraction operations.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Measurement precision
If seismic tomography is used to generate earth models, then subsurface imaging is achieved, but model resolution and characterization accuracy are limited
Solution Approach 1:
The patent divides the subsurface region into multiple sub-regions, each assigned a specific dimensionality (1D, 2D, or 3D) based on local geological characteristics. This segmentation allows each sub-region to be modeled with appropriate complexity, improving overall model resolution while managing computational resources efficiently.
Solution Approach 2:
Different sub-regions are assigned different dimensionalities based on their specific geological properties and data availability. Complex regions with multiple parameters receive 3D modeling, while simpler regions use 1D or 2D models. This local quality approach optimizes both accuracy and computational efficiency across the entire subsurface model.
2Measurement precision
If interactive interpretation is performed to enhance earth model accuracy, then subsurface structure identification improves, but processing time and operational complexity increase
Solution Approach 1:
The system dynamically adjusts the dimensionality assigned to each sub-region based on real-time analysis of geological data and computational resource availability. This dynamic allocation allows the system to adapt to changing processing requirements and optimize the balance between interpretation accuracy and processing time.
Solution Approach 2:
The patent changes the dimensionality parameter of models based on the complexity of subsurface features and data quality. By adjusting dimensional parameters rather than using fixed model complexity, the system achieves accurate structure identification while minimizing processing time through appropriate model simplification where possible.
Data Source
AI summary
A method includes receiving information for a subsurface region; based at least in part on the information, identifying sub-regions within the subsurface region; assigning individual identified sub-regions a dimensionality of a plurality of different dimensionalities that correspond to a plurality of different models; via a model-based computational framework, generating at least one result for at least one of the individual identified sub-regions based at least in part on at least one assigned dimensionality; and consolidating the at least one result for multiple sub-regions.