Homogeneous Inversion for Multi-Component Induction Logging
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Solution Overview
Problem
Current logging techniques in oil and gas exploration face challenges in achieving precise and reliable measurements of formation parameters, particularly in complex geological formations, due to issues like borehole effects and measurement noise, which affect the accuracy of inversion processing.
Innovation Solution
The implementation of multi-component induction (MCI) tools with homogeneous inversion processing, which uses a triad of transmitter and receiver coils to collect electromagnetic signals and apply iterative schemes for calculating formation parameters like horizontal resistivity, vertical resistivity, and relative dip angle, while employing quality control metrics to assess data reliability and correct for borehole effects.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Measurement precision
If conventional logging techniques are used to measure formation parameters, then the measurement process can be performed, but the accuracy and reliability of measurements are reduced due to borehole effects and measurement noise
Solution Approach 1:
The patent segments the formation into distinct zones (borehole zone, transition zone, and formation zone) and applies different inversion models to each zone. This segmentation allows the system to separately handle borehole effects and formation characteristics, improving both measurement precision and reliability by addressing each zone's specific challenges.
Solution Approach 2:
The patent transitions from conventional 1D radial inversion to 2D/3D inversion by incorporating additional spatial dimensions and multi-component electromagnetic data. This dimensional expansion enables the system to capture complex formation anisotropy and heterogeneity, significantly improving measurement accuracy and reliability in complex geological formations.
2Measurement precision
If multi-component induction tools with homogeneous inversion are used, then measurement accuracy and data quality control are improved, but the device complexity and processing requirements increase
Solution Approach 1:
The patent applies preliminary borehole correction and homogeneous inversion before the final 2D/3D inversion process. This preliminary action removes borehole effects and provides initial formation parameter estimates, simplifying the subsequent complex inversion process and reducing computational burden while maintaining high measurement precision.
Solution Approach 2:
The patent replaces complex mechanical multi-component tool configurations with sophisticated inversion algorithms and mathematical models. By substituting physical complexity with computational complexity, the system achieves high measurement precision through software-based solutions rather than hardware complexity.
3Measurement precision
If iterative inversion schemes are applied to calculate formation parameters, then the precision of logging data is enhanced, but the processing time and computational requirements increase
Solution Approach 1:
The patent performs preliminary homogeneous inversion and borehole correction before the final 2D/3D iterative inversion. This preliminary processing provides initial parameter estimates and removes systematic errors, reducing the number of iterative cycles needed in the final inversion and thereby reducing processing time while maintaining high precision.
Solution Approach 2:
The patent implements a two-stage inversion process where the first stage (homogeneous inversion) provides sufficient accuracy for many applications, and the second stage (2D/3D inversion) is applied only when higher precision is required. This partial action approach balances processing time and precision by avoiding full complex inversion when simpler methods suffice.
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 provides accurate and reliable formation parameter measurements, enhances data quality control, and allows for real-time processing, improving the precision of logging data by distinguishing between reliable and unreliable inversion results and accounting for complex formation characteristics.
Implementation Method 1
induction logging can utilize electromagnetic signals that can be used to make measurements
Implementation Method 2
The responses from probing with electromagnetic signals can provide logs that represent measurements of one or more physical quantities
Data Source
AI summary
Various embodiments include apparatus and methods that perform a homogeneous inversion processing to data or signals acquired from a multicomponent induction tool operating in a wellbore. The homogeneous inversion processing can be used to provide a quality check of results from radial one dimensional borehole correction processing. Also, the homogeneous inversion processing may be employed as a dip indicator of conventional array induction logging processing. Additional apparatus, systems, and methods are disclosed.


