2D Formation Model Generation via Multi-Depth Inversion
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Solution Overview
Problem
Current well logging technologies face challenges in accurately imaging faults and complex formations due to the assumption of one-dimensional layered media, which fails to account for faults as discontinuities, leading to distorted inversion results and inadequate reservoir characterization.
Innovation Solution
The proposed solution involves a logging system that generates a two-dimensional or three-dimensional formation model by performing one-dimensional inversions at multiple depths and using directional resistivity measurements to detect faults as distortions, adjusting their position and dip, and integrating data from shallow and deep sensing to build a comprehensive model.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Productivity
If one-dimensional inversion is used to process logging data, then the inversion process is simple and fast, but the imaging accuracy of faults and complex formations is poor
Solution Approach 1:
The patent transitions from one-dimensional inversion to two-dimensional inversion to accurately image faults and complex formations. The two-dimensional inversion model incorporates fault position and dip angle parameters, allowing the system to resolve geological structures that one-dimensional inversion cannot accurately represent. This dimensional upgrade maintains computational feasibility while significantly improving imaging precision.
2Measurement precision
If two-dimensional inversion is used to accurately image faults, then the imaging precision is improved, but the device complexity and computational requirements increase
Solution Approach 1:
The two-dimensional inversion process is segmented into distinct steps: first determining fault position, then determining fault dip angle, and finally integrating these parameters into the inversion model. This segmentation reduces computational complexity by breaking down the complex two-dimensional inversion into manageable sequential tasks, making the system more feasible for practical implementation.
Solution Approach 2:
The patent performs preliminary actions by first identifying fault positions and dip angles from logging data before conducting the full two-dimensional inversion. This preliminary characterization of fault geometry allows the inversion process to focus computational resources on refining the model rather than determining basic fault parameters from scratch, thereby reducing overall system complexity.
3Ease of manufacture
If one-dimensional layered media assumption is used, then the processing is simple, but the representation of complex formations and faults is inadequate
Solution Approach 1:
The patent moves from one-dimensional layered media assumption to two-dimensional formation modeling that explicitly incorporates fault structures. The two-dimensional model includes fault position and dip parameters, enabling accurate representation of complex geological formations while maintaining a systematic processing approach that balances simplicity with reliability.
Solution Approach 2:
The invention introduces additional parameters (fault position and fault dip angle) into the inversion model to transition from simple one-dimensional layered media to complex two-dimensional formation models. This parameter expansion allows the system to accurately represent faults and complex formations while maintaining a structured processing framework that builds upon the simpler one-dimensional approach.
Applied Scientific Principles
This section explains which scientific principles are used to turn an abstract innovation direction into a practical engineering solution.
Function Achieved in This Case
This approach enables accurate imaging of faults and complex formations, improving well placement, reservoir simulation, and production by providing a more accurate representation of reservoir geometry, reducing ambiguity and stabilizing the inversion process.
Implementation Method 1
a transmitter to produce an electromagnetic field (e.g., in a borehole), a receiver (e.g., in the borehole) to detect a field signal induced by the electromagnetic field
Data Source
AI summary
Systems, methods, and apparatuses to generate a formation model are described. In one aspect, a logging system includes a transmitter to produce an electromagnetic field in a borehole, a receiver in the borehole to detect a first field signal induced by the electromagnetic field at a first depth of investigation and a second field signal induced by the electromagnetic field at a second depth of investigation, and a modeling unit to perform a first one-dimensional inversion on the first field signal and a second one-dimensional inversion on the second field signal, build a two-dimensional model from the first one-dimensional inversion and the second one-dimensional inversion, and perform a two-dimensional inversion on the two-dimensional model to generate a two-dimensional formation model.