Adaptive Drive Pulse for Downhole Formation Evaluation
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Solution Overview
Problem
Current downhole logging tools generate drive pulses that are not optimized for environmental characteristics, leading to unnecessary resource expenditure and suboptimal data extraction from formations.
Innovation Solution
The use of an adjusted and optimized drive pulse system that dynamically adjusts the magnitude, frequency, and wave shape of the drive signal based on real-time signal-to-noise ratio and formation characteristics, allowing for more efficient data extraction while minimizing resource waste.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Measurement precision
If the magnitude of the drive pulse is increased to extract useful data from formation responses, then the quantity and quality of extracted data improves, but resources are wasted generating overly powerful drive pulses
Solution Approach 1:
The drive pulse magnitude is dynamically adjusted based on real-time formation characteristics and signal-to-noise ratio measurements. The system transitions from static, fixed-magnitude pulses to dynamic, adaptive pulses that optimize data quality while minimizing power consumption.
Solution Approach 2:
The system measures the signal-to-noise ratio of formation responses and uses this feedback to adjust the drive pulse magnitude. This closed-loop control ensures the drive pulse is powerful enough to extract useful data but not excessively powerful, eliminating resource waste.
2Loss of information
If the drive pulse magnitude is increased beyond what is necessary, then no additional useful data is extracted, but resources are still diverted to generating the extra power
Solution Approach 1:
The system applies just enough drive pulse magnitude to extract useful data from formation responses, avoiding excessive action. By measuring signal-to-noise ratio and adjusting accordingly, the system performs partial action - using only the necessary amount of energy required for effective data extraction.
Solution Approach 2:
The drive pulse parameters (magnitude, frequency, waveform) are changed based on measured formation characteristics and signal-to-noise ratio. This parameter optimization ensures energy is not wasted on excessively powerful pulses while maintaining effective data extraction.
3Productivity
If the drive pulse is not optimized for environmental characteristics, then the system is simpler to operate, but resources are wasted and data extraction is suboptimal
Solution Approach 1:
The system performs preliminary measurements of formation characteristics and signal-to-noise ratio before optimizing the drive pulse parameters. This preliminary action enables subsequent optimization without requiring complex real-time adjustments during data extraction.
Solution Approach 2:
The system uses its own measurements of formation characteristics and signal-to-noise ratio to automatically adjust and optimize its drive pulse parameters. This self-service approach optimizes data extraction efficiency without requiring external intervention or complex external control systems.
Data Source
AI summary
A method of evaluating a subterranean formation includes conveying a tool along a borehole. The tool includes a transmitter that transmits a drive pulse and a receiver that receives at least one formation response to the drive pulse. The method further includes calculating a signal-to-noise ratio of the at least one formation response and comparing the signal-to-noise ratio to a programmable threshold. The method further includes determining, based on the comparing, an adjusted drive pulse to transmit and transmitting the adjusted drive pulse. The method further includes and receiving at least one formation response to the adjusted drive pulse and deriving formation data from the at least one formation response to the adjusted drive pulse. The method further includes displaying a representation of the formation based on the formation data.