Gas-Drive Reserve Calculation Using Logarithmic Permeability Transformation
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Solution Overview
Problem
Conventional methods for determining single-well dynamic and recoverable reserves in gas-drive reservoirs are inefficient and inaccurate due to the non-linear relationship between oil-gas relative permeability ratios and gas saturation, especially at non-intermediate stages.
Innovation Solution
A method and system that calculates gas saturation based on material balance, establishes a binomial relationship between oil-gas relative permeability ratios and gas saturation, and derives a gas-drive characteristic curve using Darcy's law and oil-gas seepage laws to determine dynamic and recoverable reserves.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Device complexity
If a linear relationship between oil-gas relative permeability ratio and gas saturation is assumed in a semi-log plot, then the calculation process is simplified, but the accuracy deteriorates because the relationship is actually non-linear except at intermediate gas saturation stages
Solution Approach 1:
The patent transforms the non-linear relationship between oil-gas relative permeability ratio and gas saturation into a linear relationship by applying logarithmic transformation to the relative permeability ratio. This parameter change allows the use of linear regression while maintaining accuracy across the full range of gas saturation values, not just intermediate stages.
Solution Approach 2:
The patent introduces a new dimensional transformation by plotting the logarithm of the oil-gas relative permeability ratio against gas saturation, creating a transformed space where the non-linear relationship becomes linear. This dimensional change enables accurate reserve determination without sacrificing computational simplicity.
2Productivity
If conventional linear relationship methods are used, then the calculation is faster and simpler, but the determination of single-well dynamic and recoverable reserves becomes less accurate
Solution Approach 1:
The patent applies logarithmic transformation to the oil-gas relative permeability ratio, converting the non-linear relationship into a linear form that can be processed efficiently using linear regression techniques, thus maintaining high calculation efficiency while improving accuracy.
Solution Approach 2:
The patent replaces complex non-linear calculation mechanisms with a simplified linear regression approach in the transformed parameter space, achieving both computational efficiency and accuracy simultaneously.
3Measurement precision
If the non-linear relationship is fully accounted for across all gas saturation stages, then the accuracy improves, but the calculation complexity increases
Solution Approach 1:
The patent uses logarithmic transformation of the oil-gas relative permeability ratio to linearize the non-linear relationship, allowing accurate representation of the full range of gas saturation stages while maintaining calculation simplicity through linear regression methods.
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
Improves calculation efficiency and accuracy of single-well dynamic and recoverable reserves by characterizing oil-gas relative permeability ratios and gas saturation with a semi-log binomial relationship, enabling quick determination under economic-limit gas-oil ratios.
Implementation Method 1
establishing a relationship between an oil-gas relative permeability ratio and oil-gas flow rates based on Darcy's law
Implementation Method 2
calculating a gas saturation of a gas-drive reservoir based on a principle of material balance
Data Source
AI summary
A method and system determines a single-well dynamic reserve and recoverable reserve of a gas-drive reservoir. An example method includes: calculating a gas saturation of a gas-drive reservoir based on a principle of material balance; establishing a relationship between an oil-gas relative permeability ratio and oil-gas flow rates based on Darcy's law; fitting a binomial relationship between the oil-gas relative permeability ratio and the gas saturation based on an oil-gas seepage law; and establishing a gas-drive characteristic curve relationship between a produced gas-oil ratio and a cumulative oil production under a steady seepage flow of the gas-drive reservoir based on the above relationships and the gas saturation, and calculating a single-well dynamic reserve and recoverable reserve of the gas-drive reservoir based on binomial regression coefficients of the binomial relationship and the gas-drive characteristic curve relationship.


