Reservoir Simulation Model Dynamic Calibration via Sector Segmentation
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Solution Overview
Problem
Traditional reservoir simulation models require extensive computational time and resources for history matching, which is time and resource intensive, especially for large-scale models and complex hydrocarbon recovery phases, limiting their efficiency and accuracy.
Innovation Solution
The method introduces a progressive sequence of dynamic model updates by splitting the history matching process into distinct phases of fluid recovery and drive mechanisms, calibrating each segment in parallel in the time and space domain, using streamline pattern recognition and image analysis to dynamically assign no-flow boundaries and parameterize grid properties, thereby reducing computational time and resources.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Measurement precision
If traditional history matching methods are used for reservoir simulation models, then model accuracy is improved, but computational time and resource consumption increase significantly
Solution Approach 1:
The patent divides the reservoir simulation model into multiple independent sector models based on drainage regions and no-flow boundaries. Each sector model can be calibrated separately and in parallel, reducing the overall computational time while maintaining the accuracy of the full model. This segmentation allows the history matching process to be distributed across multiple processing units.
Solution Approach 2:
The patent introduces image processing techniques to identify no-flow boundaries by analyzing streamline patterns in the reservoir model. This transforms the traditional 3D reservoir simulation problem into a 2D image analysis problem, enabling faster identification of drainage regions and sector boundaries without compromising the accuracy of fluid flow simulation.
2Measurement precision
If traditional history matching methods are used for reservoir simulation models, then model calibration accuracy is improved, but computational resource consumption increases significantly
Solution Approach 1:
By segmenting the full simulation model into multiple independent sector models, the patent enables parallel processing of history matching operations. Each sector model requires fewer computational resources individually, and their simultaneous calibration reduces total resource consumption while maintaining overall model accuracy.
Solution Approach 2:
The patent creates simplified sector model copies of the full reservoir model, each representing a specific drainage region. These copies can be calibrated independently using fewer computational resources, and the results are integrated to produce the final calibrated full-model simulation.
3Measurement precision
If the full simulation model is calibrated as a single unit, then overall model accuracy is maintained, but the complexity of the calibration process increases
Solution Approach 1:
The patent simplifies the calibration process by dividing it into independent sector model calibrations. Each sector model can be calibrated separately using standard history matching techniques, reducing the complexity of the overall calibration process while maintaining accuracy through the integration of sector results into the full model.
Solution Approach 2:
The patent implements a dynamic approach where no-flow boundaries and drainage regions are identified through image processing of streamline patterns. This dynamic identification allows the model to adapt to different reservoir configurations and production scenarios, simplifying the calibration process for each specific case.
4Productivity
If advanced spatial conditioning and pattern recognition are applied to identify no-flow boundaries, then computational efficiency is improved, but the complexity of the method increases
Solution Approach 1:
The patent replaces traditional mechanical or manual methods of identifying no-flow boundaries with image processing and pattern recognition techniques. By treating streamline patterns as images to be analyzed, the system automatically identifies drainage regions and sector boundaries, improving computational efficiency while managing complexity through algorithmic approaches.
Data Source
AI summary
One or more methods for validating reservoir simulation models. At least one of the methods include determining one or more time segments of fluid recovery of a reservoir by analyzing a production history of the reservoir; running a simulation model, for the first time segment, to generate one or more drainage volumes; generating, for a first time segment, a plurality of grid regions along one or more no-flow boundaries of the one or more drainage volumes; generating, for the first time segment, a plurality of sector models corresponding to the plurality of grid regions; and performing, for the first time segment, a history matching process corresponding to a time phase simultaneously on each of the plurality of sector models to generate, for each of the sector models, a history matching output.