Deep Shale Gas Flow Simulation With Dual-Site Langmuir Adsorption
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Solution Overview
Problem
Existing methods fail to accurately simulate deep shale gas flow due to neglecting the complex geological characteristics and various effects on flow processes, particularly adsorption, slip, Knudsen diffusion, and surface diffusion, in high-temperature and high-pressure environments.
Innovation Solution
A method using a dual-site Langmuir adsorption model to simulate deep shale gas flow by reconstructing a digital core, analyzing pore network models, and establishing calculation models for free-phase and adsorption-phase shale gas conductivities, considering heterogeneous adsorption on organic and inorganic pores and throats, and incorporating high-temperature and high-pressure conditions.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Speed
If a simple pore network model is used for simulation, then calculation speed is improved, but simulation precision deteriorates due to neglecting complex geological characteristics and flow effects
Solution Approach 1:
The patent introduces multiple flow models (viscous flow, slip flow, transient flow, free molecular flow) and transport mechanisms (adsorption, surface diffusion, Knudsen diffusion) as selectable parameters to accurately represent deep shale gas flow conditions, resolving the contradiction between calculation speed and simulation precision
Solution Approach 2:
The patent combines multiple flow models and transport mechanisms into a composite simulation framework that integrates heterogeneous adsorption, slip, Knudsen diffusion, and surface diffusion effects, achieving both accuracy and computational efficiency
2Measurement precision
If adsorption and diffusion effects are included in the simulation model, then simulation precision is improved, but model complexity increases
Solution Approach 1:
The patent segments the simulation model into distinct modules for different flow mechanisms (viscous flow, slip flow, transient flow, free molecular flow) and transport processes (adsorption, surface diffusion, Knudsen diffusion), allowing selective inclusion based on specific simulation requirements and reducing unnecessary complexity
Solution Approach 2:
The patent applies different flow models and transport mechanisms to different pore types (organic pores, inorganic pores) and throat configurations, providing localized accuracy where needed while maintaining simplicity in other regions
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 method achieves precise simulation of deep shale gas flow, providing a basis for exploration and development by accounting for adsorption, slip, Knudsen diffusion, and surface diffusion, thereby improving the accuracy of flow law prediction.
Implementation Method 1
establishing a calculation model of an adsorption-phase shale gas conductivity... taking into account the heterogeneous adsorption of the internal structural surface of the deep shale gas reservoir
Implementation Method 2
The flow patterns of shale gas in nano-scale pores are classified into viscous flow, slip flow, transient flow and free molecular flow
Implementation Method 3
Adsorption, surface diffusion, Knudsen diffusion, slip and viscous flow are mainly taken into account in organic pores and throats
Implementation Method 4
Adsorption, surface diffusion, Knudsen diffusion, slip and viscous flow are mainly taken into account in organic pores and throats
Data Source
AI summary
A method for simulating deep shale gas flow based on a dual-site Langmuir adsorption model is provided. The method includes: reconstructing a digital core of a deep shale gas reservoir, and extracting a pore network model; analyzing a structural parameter of the pore network model, and establishing calculation models of a free-phase shale gas conductivity and an adsorption-phase shale gas conductivity; establishing a calculation model of a shale gas conductivity for pores and throats in the pore network model, and determining the shale gas conductivity in pores and throats in the pore network model; combining the pore network model with the calculation models of the free-phase shale gas conductivity, the adsorption-phase shale gas conductivity and the shale gas conductivity in pores and throats, establishing a simulation model of a deep shale gas conductivity and simulating a flow law of deep shale gas.