Non-Equilibrium Compositional Gradient Reservoir Analysis
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Solution Overview
Problem
Current methods for understanding reservoir fluids are limited in determining whether a hydrocarbon reservoir is compartmentalized or connected but in a state of non-equilibrium, particularly due to inaccurate modeling in scenarios with heterogeneous fluids and non-equilibrium conditions.
Innovation Solution
A method involving a numerical model to simulate non-equilibrium concentration of hydrocarbon components within a wellbore, comparing simulated concentrations to measured concentrations, and using downhole or laboratory analysis to determine reservoir architecture, with the assumption that early-charged components are in equilibrium and later-charged components are not.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Measurement precision
If conventional equilibrium compositional gradient analysis is used, then reservoir connectivity can be assessed under ideal conditions, but the method fails to accurately determine reservoir architecture in non-equilibrium states
Solution Approach 1:
The patent changes the fundamental parameter assumption from thermodynamic equilibrium to non-equilibrium conditions. It introduces a numerical model that simulates compositional gradients without requiring equilibrium assumptions, allowing accurate reservoir architecture determination in previously intractable non-equilibrium scenarios where conventional methods fail
Solution Approach 2:
The patent transitions from static equilibrium analysis to dynamic non-equilibrium modeling. The numerical model captures time-dependent compositional evolution and transport processes, enabling the system to adapt to and accurately characterize reservoirs in transient, non-equilibrium states rather than requiring static equilibrium conditions
2Measurement precision
If numerical modeling of non-equilibrium compositional gradients is implemented, then reservoir characterization accuracy in non-equilibrium states improves, but computational complexity and model requirements increase
Solution Approach 1:
The patent introduces a numerical model as an intermediary between direct measurement and reservoir characterization. This model mediates the complex non-equilibrium processes by simulating compositional gradients and transport, translating measurable parameters into accurate reservoir architecture determination without requiring direct observation of complex non-equilibrium dynamics
Solution Approach 2:
The patent performs preliminary numerical simulation to establish expected non-equilibrium compositional gradients before field application. By pre-characterizing non-equilibrium behavior through modeling, the system prepares reference frameworks that guide and interpret actual measurements, reducing the complexity of real-time non-equilibrium analysis
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 allows for effective characterization of reservoir fluids, distinguishing between connected and compartmentalized reservoirs, even in non-equilibrium states, by identifying compositional variations and gradients, thereby improving reservoir development decisions.
Implementation Method 1
simulate over time non-equilibrium concentration of at least one hydrocarbon component (analyte) as a function of location within the wellbore
Implementation Method 2
simulate over time non-equilibrium concentration of at least one hydrocarbon component (analyte) as a function of location within the wellbore
Data Source
AI summary
A method for determining reservoir architecture using modeling of a non-equilibrium distribution of at least one analyte in reservoir fluids. The analyte(s) of the analysis preferably has (have) significant compositional variation in the reservoir. For example, the analyte can be a later charging single gas component (such as methane, carbon dioxide, or hydrogen sulfide) in a multi-component fluid system. In this case, the model can assume that the components of the early charge are in a stationary state or in equilibrium, whereas the later charge is in a state of non-equilibrium. The non-equilibrium distribution of the analyte(s) derived from the model is compared to the distribution of the analyte(s) derived from downhole or laboratory fluid analysis of reservoir fluid, and the architecture of the reservoir is determined based upon such comparison.