Multi-layered Turbidity Current Model Captures Flow Stripping
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Solution Overview
Problem
Current methods for modeling turbidity currents in the oil and gas industry are either computationally expensive and inefficient for large-scale simulations or unable to capture the effects of flow stripping and divergence, which are crucial for accurately representing sediment transport and deposition in confined environments.
Innovation Solution
A method using a multi-layered model that represents turbidity currents with depth-averaged flow variables for multiple stratified layers, capturing essential vertical flow structures and allowing for computationally efficient simulations of sediment transport and deposition, including flow stripping and divergence.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Productivity
If a single-layer depth-averaged flow model is used, then computational efficiency is improved, but the ability to capture flow stripping and divergence is lost
Solution Approach 1:
The single turbidity current flow is segmented into multiple stratified layers (e.g., lower sandy layer and upper muddy layer), each with its own depth-averaged flow variables. This segmentation allows the model to capture flow stripping and divergence while maintaining computational efficiency through layer-by-layer calculations.
Solution Approach 2:
The model transitions from a single-layer approach to a multi-layer approach, adding the vertical stratification dimension. By introducing multiple layers with different sediment compositions and flow characteristics, the model captures three-dimensional flow structures without fully resolving them, thus maintaining efficiency while improving accuracy.
2Reliability
If a multi-layered model is used, then the ability to capture flow stripping and divergence is improved, but computational cost increases
Solution Approach 1:
The model segments the turbidity current into multiple stratified layers, each governed by its own depth-averaged equations. This segmentation enables capture of flow stripping and divergence while controlling computational cost through a manageable number of layers and simplified equations for each layer.
Solution Approach 2:
The model uses depth-averaged flow variables (depth, velocity components, sediment concentrations) as parameters for each layer. By formulating the equations in terms of these averaged parameters rather than resolving full three-dimensional flow fields, the model achieves improved reliability while maintaining acceptable computational efficiency.
3Measurement precision
If full three-dimensional flow modeling is used, then accuracy in representing turbidity current structures is improved, but computational expense becomes prohibitive for large-scale simulations
Solution Approach 1:
The model segments the three-dimensional flow into multiple two-dimensional depth-averaged layers. Each layer is modeled independently with its own conservation equations, capturing essential vertical structures while avoiding the computational expense of full three-dimensional resolution.
Solution Approach 2:
The model extracts the essential vertical flow structures by focusing on depth-averaged quantities for each stratified layer. By taking out and solving for these averaged parameters rather than resolving all three-dimensional fluctuations, the model achieves sufficient accuracy for reservoir characterization at a fraction of the computational cost.
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 accurate and efficient modeling of turbidity currents, effectively capturing the complex behavior of sediment transport and deposition, even in confined settings, improving reservoir characterization and hydrocarbon extraction planning.
Implementation Method 1
The model represents a turbidity current in a fluid flow with multiple sets of depth-averaged flow variables corresponding to multiple stratified layers in the flow
Implementation Method 2
capturing essential vertical flow structures and allowing for computationally efficient simulations of sediment transport and deposition
Implementation Method 3
unable to capture the effects of flow stripping and divergence, which are crucial for accurately representing sediment transport
Implementation Method 4
One characteristic of fluid flow is known as a turbidity current, which can be defined as a bottom-flowing current resulting from a fluid that has higher density because it contains suspended sediment
Data Source
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AI summary
A method of generating a model of a turbidity current in a fluid is disclosed. A first flow layer in the turbidity current is defined. The method successively defines at least one more flow layer in the turbidity current. Each successive flow layer includes the previously defined flow layer. A set of depth-averaged flow variables for each flow layer is defined. A model is developed that describes the turbidity current. The model uses fluid flow equations and the set of depth-averaged flow variables for each flow layer to predict fluid flow in each flow layer. The model is then output.