Induction Tool Dielectric Characterization for Particle Analysis
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Solution Overview
Problem
Current methods for characterizing subsurface formations, particularly in boreholes, face challenges in accurately determining dielectric properties and particle compositions, which are crucial for understanding geological environments and hydrocarbon reservoirs, due to limitations in induction measurement precision and interpretation.
Innovation Solution
The implementation of an induction tool system that acquires measurements in boreholes, processes them to determine dielectric properties, and generates logs characterizing particles based on these properties, utilizing advanced algorithms and inversion techniques to improve resolution and accuracy, particularly in identifying graphitic carbon content and kerogen maturity.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Measurement precision
If conventional induction measurement methods are used, then measurement simplicity is maintained, but measurement precision and interpretation accuracy deteriorate
Solution Approach 1:
The patent segments the dielectric properties measurement into multiple frequency components (e.g., low frequency and high frequency measurements). By measuring at different frequencies separately and then combining the results through inversion algorithms, the system achieves higher precision in determining formation properties while managing complexity through systematic decomposition of the measurement process.
Solution Approach 2:
The patent introduces the frequency dimension to the induction measurements by performing measurements at multiple frequencies. This additional dimension enables the separation of different dielectric effects and improves the accuracy of particle characterization, transforming a single-frequency measurement into a multi-frequency analysis that provides more comprehensive formation information.
2Measurement precision
If advanced inversion techniques are implemented, then particle characterization accuracy improves, but computational complexity increases
Solution Approach 1:
The patent applies preliminary action by pre-processing the multi-frequency induction measurements to extract dielectric properties before performing the main particle characterization inversion. This preliminary extraction of dielectric constants and loss factors simplifies the subsequent inversion process and improves computational efficiency while maintaining high accuracy in particle composition determination.
Solution Approach 2:
The patent implements feedback mechanisms in the inversion process where the measured dielectric properties are continuously refined through iterative algorithms. The system uses the measured data to update formation models, compares predicted versus actual measurements, and adjusts the inversion parameters accordingly, thereby improving particle characterization accuracy while managing computational complexity through controlled iteration.
3Measurement precision
If multi-frequency induction measurements are performed, then dielectric property determination accuracy improves, but measurement time increases
Solution Approach 1:
The patent employs periodic action by performing induction measurements at discrete frequency intervals rather than continuous frequency sweeping. The system measures at specific low and high frequency points in a periodic manner, which reduces the total measurement time while still capturing the essential dielectric properties needed for accurate particle characterization.
Solution Approach 2:
The patent applies partial action by selecting only the critical frequency points necessary for dielectric property determination rather than measuring across the entire frequency spectrum. By focusing measurements on specific low and high frequency ranges that provide the most information about formation particles, the system achieves high precision with reduced measurement time.
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 enhances the precision of subsurface characterization, enabling better understanding of formation properties and hydrocarbon potential, facilitating more effective exploration and production strategies.
Implementation Method 1
A tool can include a transmitter coil, a receiver coil, and circuitry. The transmitter coil can be driven by an alternating current of the circuitry to create a primary time varying magnetic field around the transmitter coil. The primary time varying magnetic field can cause eddy currents to form, which can generate a secondary time varying magnetic field that can be detected via the receiver coil.
Implementation Method 2
determine dielectric properties of the formation using the induction measurements
Data Source
AI summary
A formation characterization system can include a processor; memory accessibly by the processor; instructions stored in the memory and executable by the processor to instruct the system to: acquire induction measurements in a borehole in a formation using an induction tool; determine dielectric properties of the formation using the induction measurements; and generate a log that characterizes particles in the formation based on the dielectric properties.