Near Wellbore Modeling Software for Reservoir Simulation
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Solution Overview
Problem
Current reservoir modeling software is unable to accurately model near wellbore effects, leading to inefficiencies in predicting wellbore behavior and treatment outcomes, especially in complex well geometries, and lacks user-friendly interfaces for production engineers.
Innovation Solution
The development of a Near Wellbore Modeling software that uses a combination of Eclipse Office, Flogrid, Petragrid, and Multi-Segmented Well Model technologies to create a fine-scale grid within the wellbore region, allowing for detailed simulation of fluid flow and pressure distribution, and reintegration to simulate the entire reservoir field.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Measurement precision
If existing reservoir modeling software is used to model the entire reservoir field, then the modeling process is simple and fast, but the accuracy of near wellbore effects cannot be captured
Solution Approach 1:
The reservoir model is segmented into a global reservoir model and a local near wellbore model. The global model provides boundary conditions while the local model with fine grid captures near wellbore effects. This segmentation allows each model to be optimized for its specific purpose, improving near wellbore accuracy without requiring the entire reservoir to be modeled at high resolution.
Solution Approach 2:
A fine grid is applied locally in the near wellbore region while the rest of the reservoir uses a coarser grid. This local quality approach concentrates computational resources where they are most needed - near the wellbore - to capture subtle flow processes, while maintaining overall model efficiency.
2Measurement precision
If a fine-scale grid is created within the wellbore region to model near wellbore effects, then modeling accuracy improves, but computational time and resources increase
Solution Approach 1:
The computational domain is segmented into a global reservoir region and a local near wellbore region. The global model runs first to establish boundary conditions, then the local model uses these pre-computed conditions to focus computational effort only where needed, reducing overall computational time compared to uniformly fine-gridded approaches.
Solution Approach 2:
The global reservoir model is solved in advance to compute boundary conditions (pressure, flux) at the interface with the near wellbore region. This preliminary action provides ready-to-use input for the local model, eliminating the need to re-simulate the entire reservoir at high resolution and reducing total computational time.
3Adaptability or versatility
If complex well geometries are modeled with existing tools, then the tool can handle various well types, but the flow processes cannot be accurately represented
Solution Approach 1:
The model applies a fine grid specifically in the near wellbore region where flow processes occur, while maintaining the ability to handle complex well geometries through the global model framework. This local quality approach ensures accurate flow representation near the wellbore regardless of well geometry complexity.
Solution Approach 2:
The model dynamically adjusts the grid resolution based on the wellbore location and geometry. The fine grid is positioned and configured according to the specific wellbore characteristics, allowing accurate representation of flow processes for various well geometries while maintaining computational efficiency.
4Ease of operation
If simulation technology is made more accessible to production engineers, then user base expands, but the interface complexity increases
Solution Approach 1:
The software provides a universal interface that handles multiple functions through a consistent interaction model. Production engineers can perform near wellbore modeling, global reservoir modeling, and parameter calibration through the same user-friendly interface, eliminating the need to learn different interfaces for different modeling tasks.
Solution Approach 2:
The software introduces an intermediary interface layer that simplifies the complex underlying computational models. This interface mediates between the user's simple commands and the complex numerical simulations, providing intuitive controls and automatic setup of the modeling parameters without exposing the user to the complexity of the grid generation and solution algorithms.
Data Source
AI summary
A “near wellbore modeling” software will, when executed by a processor of a computer, model a localized area of a reservoir field which surrounds and is located near a specific wellbore in the reservoir field by performing the following functions: (1) receive input data representative of a reservoir field containing a plurality of wellbores, (2) establish a boundary around one specific wellbore in the reservoir field which will be individually modeled and simulated, (3) impose an “fine scale” unstructured grid inside the boundary consisting of a plurality of tetrahedrally shaped grid cells and further impose a fine scale structured grid about the perforated sections of the specific wellbore, (4) determine a plurality of fluxes/pressure values at the boundary, the fluxes/pressure values representing characteristics of the reservoir field located outside the boundary, (5) establish one or more properties for each tetrahedral cell of the unstructured grid and each cylindrical grid cell of the structured grid, (6) run a simulation, using the fluxes/pressure values at the boundary to mimic the reservoir field outside the boundary and using the fine scale grid inside the boundary, to thereby determine a plurality of simulation results corresponding, respectively, to the plurality of grid cells located inside the boundary, the plurality of simulation results being representative of a set of characteristics of the reservoir field located inside the boundary, (7) display the plurality of simulation results which characterize the reservoir field located inside the boundary, and (8) reintegrate by coarsening the grid inside the boundary, imposing a structured grid outside the boundary, and re-running a simulation of the entire reservoir field.