Gas Chromatography Peak Deconvolution for Contaminant Separation
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Solution Overview
Problem
Existing gas chromatography methods struggle with overlapping peaks of light hydrocarbons, leading to measurement errors and manual, time-consuming efforts in determining gas composition, particularly in the presence of contaminants like ethylene and propylene.
Innovation Solution
An automated method for gas chromatography that identifies peaks in a chromatogram, fits them with single or dual curves based on threshold comparisons, and computes areas to determine gas composition, suitable for both calibration and unknown samples, using Gaussian or asymmetric functions to handle contaminants.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Measurement precision
If gas chromatography is used to evaluate formation gas composition, then valuable information about hydrocarbons and reservoir characteristics is obtained, but the presence of contaminant gases introduces measurement errors and increases difficulty in obtaining accurate compositional information
Solution Approach 1:
The patent segments the gas chromatography analysis process into distinct phases: contamination detection during the chromatogram acquisition phase, and automated deconvolution in the data processing phase. By dividing the peak analysis into multiple computational steps (peak identification, contamination detection, iterative deconvolution), the system handles complex overlapping peaks and contaminants systematically, improving measurement precision despite the presence of harmful contaminant gases.
2Measurement precision
If manual methods are used to determine gas composition from chromatograms, then compositional information can be obtained, but the process is time-consuming and requires human intervention
Solution Approach 1:
The patent implements self-service through automated algorithms that perform peak identification, contamination detection, and deconvolution without human intervention. The system automatically compares observed peaks against a library of known contaminant and hydrocarbon peaks, performs iterative deconvolution to separate overlapping signals, and generates compositional results autonomously. This eliminates time-consuming manual analysis while maintaining or improving accuracy through consistent automated processing.
Solution Approach 2:
The patent replaces manual mechanical analysis methods with automated computational systems. Instead of human experts visually inspecting chromatograms and manually determining compositions, the system uses computer-based algorithms for peak detection, pattern recognition, and mathematical deconvolution. This substitution of mechanical human labor with automated computing dramatically reduces analysis time while maintaining measurement precision.
3Productivity
If automated methods are implemented for gas composition analysis, then human intervention is reduced and processing speed increases, but complexity of the analysis algorithm increases
Solution Approach 1:
The patent extracts and isolates the complex deconvolution algorithm as a separate, dedicated computational module. By taking out the complex mathematical operations (iterative deconvolution, peak fitting, contamination subtraction) from the overall system and implementing them as a specialized automated routine, the system manages algorithmic complexity efficiently. This modular approach allows high productivity through automation while containing complexity within a specific processing stage that can be optimized independently.
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
Automates the process of gas composition analysis, reducing human intervention and improving accuracy by distinguishing between single and multiple gas species, especially for light hydrocarbons, thereby enhancing the reliability of formation gas evaluation during drilling operations.
Implementation Method 1
gas chromatography is commonly used to evaluate formation gas composition
Implementation Method 2
using Gaussian or asymmetric functions to handle contaminants
Data Source
AI summary
A method for evaluating an unknown gas sample includes acquiring a chromatogram of the unknown gas sample and processing the chromatogram to identify a peak. The peak is evaluated to determine if it is representative of a single gas species in the unknown gas sample. The peak is fit with at least first and second curves when the peak is not representative of a single gas species. First and second areas under the corresponding first and second curves are computed and processed to compute a composition of the unknown gas sample or a ratio of concentrations of individual gases in the unknown gas sample.