Patterned Surface Dew Point Measurement via Optical Detection
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Solution Overview
Problem
Accurate dew point measurement in gaseous samples is challenging due to filtrate contamination, particularly when differentiating between dew from filtrate and formation gas, and existing methods require direct human monitoring or sight glass observation.
Innovation Solution
The use of patterned structures with tailored surface energy, such as micro-faceted surfaces, in conjunction with optical detection and temperature control, allows for accurate dew point determination and volume fraction measurement of dew dropout as a function of pressure and temperature, without direct human monitoring, by analyzing reflectivity and scattering patterns.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Measurement precision
If optical detection is used to measure dew point in gaseous samples, then measurement capability is provided, but differentiation between filtrate-based dew and formation gas-derived dew is difficult
Solution Approach 1:
The patent applies local quality by creating patterned surfaces with specific microstructures (pillars, holes, or grooves) that have tailored surface energy properties. These localized structural variations cause condensate from different sources (filtrate vs. formation gas) to exhibit distinct optical characteristics, enabling differentiation while maintaining dew point measurement capability
Solution Approach 2:
The patent utilizes optical property changes (analogous to color changes) by detecting variations in light reflectivity, scattering, or absorption patterns when condensate forms on patterned surfaces. Different condensate sources produce distinct optical signatures that can be identified through these changes, resolving the differentiation problem
2Measurement precision
If conventional dew point measurement methods are used, then dew point detection is possible, but direct human monitoring or sight glass observation is required
Solution Approach 1:
The patent replaces mechanical/optical observation systems (sight glasses requiring human monitoring) with automated optical detection using light sources and photodetectors. The system automatically measures changes in optical properties of condensate on patterned surfaces to determine dew point, eliminating the need for direct human observation while maintaining measurement accuracy
Solution Approach 2:
The patterned surfaces provide self-indicating properties where the condensate itself modifies the optical characteristics of the surface. The system automatically detects these self-generated optical changes without requiring external intervention, enabling autonomous dew point measurement
3Measurement precision
If patterned structures with micro-faceted surfaces are used, then differentiation between dew sources and automated measurement is enabled, but device complexity increases
Solution Approach 1:
The patent employs porous or micro-structured materials with controlled pore sizes, shapes, and distributions to create the patterned surfaces. These materials can be fabricated using established techniques and provide the necessary surface energy variations to differentiate condensate sources while maintaining manufacturability
Solution Approach 2:
The patent utilizes composite structures combining different materials with complementary properties (e.g., hydrophobic/hydrophilic materials, materials with different surface energies) to create patterned surfaces that enhance condensate differentiation capabilities while leveraging the advantages of each constituent material
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 robust dew point and dew dropout fraction measurement, effectively differentiating between filtrate-based and formation gas-derived dew, and reduces the need for human intervention, providing accurate and efficient data collection.
Implementation Method 1
a patterned structure having a roughened surface that is at least partially exposed to the interior surface of the gaseous sampling chamber
Implementation Method 2
For example, a greater reflectivity is obtained from a micro-faceted surface having a greater volume fraction of condensate. Conversely, less scattering is also obtained for a greater volume fraction of condensate.
Implementation Method 3
a greater reflectivity is obtained from a micro-faceted surface having a greater volume fraction of condensate
Data Source
AI summary
Accurate, real-time detection of dew point of a gaseous sample can be accomplished using the systems and techniques described herein. A gaseous sampling chamber defining an interior volume includes a patterned structure having a roughened surface exposed to the gaseous sampling chamber. The patterned structure includes an open volume accessible by the roughened surface, for example, representing at least about 10% of the interior volume of the gaseous sampling chamber. An illumination source is configured to illuminate at least a portion of the patterned structure. A light detector is configured to receive at least a portion of illumination returned from the patterned structure. A condensate detector is configured to determine a presence of a condensate on the roughened surface in response to an optical property of the patterned surface as modified by the presence of dew.