Optical Subsystem for Multi-Phase Fluid Analysis
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Solution Overview
Problem
Analyzing fluids extracted from geological formations with multiple phases poses challenges in accurately estimating the properties of the formation and the economic value of the fluids, particularly due to contamination and the complex effects of these phases on the analysis.
Innovation Solution
A formation testing tool equipped with a dual probe section, analysis section, and optical subsystem, including a light source, optical mask, and imaging device, which uses infrared, visible, and ultraviolet light to detect phases and contaminants by imaging and processing fluid flow, enabling accurate phase detection and property estimation.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Measurement precision
If conventional fluid analysis methods are used on multi-phase fluids, then analysis simplicity is maintained, but measurement precision deteriorates due to contamination and multiple phases affecting property estimation
Solution Approach 1:
The fluid analysis system is segmented into multiple specialized sensors (optical sensor for phase detection, mass spectrometer for composition analysis, contamination sensor for purity assessment) that each handle specific aspects of fluid characterization. This segmentation allows precise measurement of individual fluid properties while maintaining manageable system complexity through modular architecture.
Solution Approach 2:
An intermediary processing system is introduced that receives data from multiple sensors and integrates the information to compensate for the effects of multiple phases and contaminants. This intermediary layer processes raw sensor data to derive accurate formation property estimates, effectively mediating between the complex multi-phase fluid environment and the final measurement output.
2Measurement precision
If multiple sensors are added to detect phases and contaminants, then measurement precision improves, but device complexity increases
Solution Approach 1:
The optical sensor system is designed with multi-functionality, capable of detecting both phase boundaries and contaminant presence through different optical measurement modes. This universal sensor approach reduces the need for entirely separate detection systems while maintaining high measurement precision for multiple parameters simultaneously.
Solution Approach 2:
Multiple detection functions are merged into integrated sensor assemblies that simultaneously perform phase detection, composition analysis, and contamination monitoring. By combining these functions in unified sensor packages, the system achieves comprehensive fluid characterization while reducing overall device complexity compared to using separate independent sensors for each function.
3Measurement precision
If advanced optical subsystems are used for contaminant detection, then measurement precision improves, but ease of operation deteriorates due to complex imaging and processing requirements
Solution Approach 1:
The optical subsystem incorporates self-calibrating features and automatic contamination detection algorithms that reduce the need for manual intervention. The system automatically adjusts measurement parameters and compensates for environmental variations, maintaining high contaminant detection accuracy while simplifying operator interaction through automated processes.
Solution Approach 2:
Real-time feedback mechanisms are implemented where the optical sensor data is continuously processed and used to automatically adjust measurement parameters and alert operators to contamination events. This feedback loop maintains high measurement precision while simplifying operation by automating the interpretation of complex imaging data and providing clear, actionable information to operators.
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
The tool effectively identifies phases and contaminants within the fluid, providing precise data for estimating the properties of the geological formation and the economic value of the fluids, enhancing the accuracy of fluid analysis in drilling environments.
Implementation Method 1
uses infrared, visible, and ultraviolet light to detect phases and contaminants by imaging and processing fluid flow
Data Source
AI summary
A processor accepts sensor data about a geological formation from a sensor. The sensor data is such that processing the sensor data using a processing technique to estimate a parameter of the geological formation without a constraint, whose value is not yet known, produces a plurality of non-unique estimates of the parameter. The processor accepts more than two time-displaced images of fluid sampled from the geological formation. The time displacements between the images are substantially defined by a mathematical series. The processor processes the images to determine the constraint. The processor processes the sensor data using the processing technique constrained by the constraint to estimate the parameter of the geological formation. The processor uses the estimated parameter to affect the drilling of a well through the geological formation.