Depositional Modeling with Time-Varying Boundary Conditions
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Solution Overview
Problem
Current modeling techniques for subsurface hydrocarbon reservoirs in siliciclastic rock formations are inadequate in understanding depositional history and spatial distribution of sediment properties, which are crucial for identifying potential hydrocarbon reservoirs, due to the complexity of coupled hydrodynamics and sediment transport systems.
Innovation Solution
A method for depositional modeling using time-varying boundary conditions, specifically flux-preserving and discrete boundary conditions, is developed to accurately model sediment and water flow, allowing for the determination of propagation directions and numerical flux calculations, which are implemented in a computer system to perform these models.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Measurement precision
If conventional modeling techniques are used for subsurface hydrocarbon reservoirs, then the modeling process is simpler, but the understanding of depositional history and spatial distribution of sediment properties is inadequate
Solution Approach 1:
The coupled hydrodynamics-sediment transport system is segmented into separate governing equations for water flow, sediment transport, and boundary conditions. This allows each component to be modeled and solved independently while maintaining their interactions, thereby improving measurement precision without overwhelming complexity
Solution Approach 2:
The patent transforms the boundary conditions from fixed to time-varying parameters that evolve with the depositional process. This enables the model to capture the dynamic nature of sediment deposition and hydrodynamics, significantly improving the understanding of depositional history and spatial distribution of sediment properties
2Manufacturing precision
If conventional boundary conditions are used, then the computational approach is simpler, but the accuracy of simulating time-varying sediment and water flow is reduced
Solution Approach 1:
The boundary conditions are formulated as dynamic, time-varying constraints that adapt to changing flow and sediment conditions. The boundary conditions evolve with the depositional process, allowing accurate simulation of time-varying sediment and water flow while maintaining computational tractability through systematic formulation
Solution Approach 2:
Boundary conditions are transformed from static parameters to dynamic parameters that change with time and flow conditions. This enables accurate representation of the evolving depositional environment, improving the precision of sediment deposition simulation
3Measurement precision
If detailed modeling of coupled hydrodynamics and sediment transport is performed, then the identification of potential hydrocarbon reservoirs is improved, but the computational resources and time required increase
Solution Approach 1:
The coupled system is divided into separate governing equations for hydrodynamics and sediment transport, allowing efficient numerical solution while maintaining the interaction between components. This segmentation enables detailed modeling without excessive computational burden
Solution Approach 2:
The model incorporates feedback mechanisms where the hydrodynamics influence sediment transport and vice versa, allowing the system to self-adjust and converge to realistic depositional patterns. This feedback loop improves reservoir identification accuracy while maintaining computational efficiency through iterative solution methods
Data Source
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AI summary
A method is described for a method for depositional modeling dependent on geological boundary conditions including receiving a process-based depositional model of a siliciclastic formation; determining a type of boundary condition at each boundary of the process-based depositional model wherein the boundary condition on at least one boundary is one of a flux-preserving boundary condition or a discrete boundary condition and wherein the boundary condition accounts for at least one of time-varying inflow of water and sediments into the process-based depositional model, time-varying outflow of water and sediments out of the process-based depositional model, and downstream controls; modeling rates of sediment and water flow over time, dependent on the boundary condition, to create a modeled depositional system; and analyzing the modeled depositional system to identify potential hydrocarbon reservoirs. The method may be executed by a computer system.