Subsoil Composition Determination via Unmeshed Model Inversion
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Solution Overview
Problem
Existing methods for determining subsoil composition require pre-meshing, which introduces biases due to mesh size, orientation, and number, and fails to accurately account for sedimentary bodies and well constraints.
Innovation Solution
A method that receives an unmeshed model of the subsoil, determines a fluvial trajectory, and uses parametric surfaces to describe fluvial formations, allowing for accurate meshing of these formations without pre-meshing biases.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Measurement precision
If pre-meshing is performed before modeling, then the modeling process can be initiated, but the mesh size, orientation, and number introduce bias and reduce accuracy in determining subsoil composition
Solution Approach 1:
The patent inverts the conventional sequence by performing modeling first on an unmeshed model to identify sedimentary bodies and geological formations, and then performing meshing afterward. This reversal eliminates the bias introduced by pre-meshing parameters (mesh size, orientation, number) and allows the mesh to be adapted to the actual geological structures identified during modeling, thereby improving measurement precision without excessive complexity
Solution Approach 2:
The patent performs preliminary identification of sedimentary bodies and geological formations through modeling before the meshing step. This preliminary action allows the subsequent meshing process to be tailored to the actual geological features, ensuring that the mesh accurately represents the subsoil structures without being constrained by arbitrary pre-meshing parameters
2Reliability
If pre-meshed models are used, then modeling can proceed, but it becomes difficult to accurately satisfy well constraints as log data must be transformed through blocking methods
Solution Approach 1:
The patent inverts the conventional approach by performing modeling on an unmeshed model first, allowing well constraints and log data to be directly incorporated into the modeling process without any blocking or transformation. Only after the model is complete does the patent perform meshing, which ensures that well constraints are satisfied accurately and no information is lost in data transformation
Solution Approach 2:
The patent uses the unmeshed model as an intermediate representation that preserves all original log data and well constraint information. This unmeshed model serves as a faithful copy of the subsurface reality before any discretization occurs, allowing accurate satisfaction of well constraints that would otherwise be degraded by blocking methods in pre-meshed approaches
3Measurement precision
If pre-meshed models are used, then modeling can be performed, but it is difficult to associate cells with facies or geophysical properties as cell dimension does not allow proper identification of position in geological formations
Solution Approach 1:
The patent inverts the conventional sequence by performing modeling and identification of sedimentary bodies and geological formations first on an unmeshed model, and then performing meshing afterward. This allows facies and geophysical properties to be identified and associated with specific geological features based on their actual spatial positions, rather than being constrained by arbitrary cell dimensions from pre-meshing. The subsequent meshing process can then be adapted to preserve these identified features, improving measurement precision without excessive complexity
Data Source
AI summary
The present invention relates to a method for determination of real subsoil composition or structure characterized in that the method comprises: —reception of unmeshed model representing the real subsoil; —determination of a sediment trajectory in said model; —based on the sediment trajectory, determination of at least one parametric surface describing a sediment formation in said model; —based on the least one parametric surface, meshing the sediment formation in said model.