Reservoir Simulation Model Dynamic Calibration via Sector Segmentation
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Solution Overview
Problem
Reservoir simulation models require extensive computational resources and time for history matching, which can be inefficient, especially for large-scale models and complex reservoirs with multiple phases of fluid recovery.
Innovation Solution
The method involves splitting the time and space domain into segments, dynamically calibrating each segment in parallel, using streamline pattern recognition and image analysis to generate drainage regions and sector models, allowing for simultaneous history matching across distinct phases of fluid recovery.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Measurement precision
If traditional history matching methods are used on full simulation grids, then comprehensive reservoir modeling is achieved, but computational time and resources increase significantly
Solution Approach 1:
The patent divides the full simulation grid into multiple sector models based on drainage regions identified through streamline analysis. This segmentation allows history matching to be performed on smaller, independent sector models rather than the entire reservoir model, significantly reducing computational time while maintaining modeling accuracy through parallel processing of multiple sectors
Solution Approach 2:
The patent introduces a new dimension to the modeling process by creating sector models that represent specific drainage regions. This dimensional transformation from a single full-grid model to multiple sector models enables parallel computation, reducing the time required for history matching while preserving the comprehensive modeling capability
2Measurement precision
If traditional history matching methods are used on full simulation grids, then comprehensive reservoir modeling is achieved, but computational resources increase significantly
Solution Approach 1:
The patent segments the full simulation grid into multiple independent sector models based on drainage regions. This segmentation reduces the computational burden on individual models, allowing history matching to be performed more efficiently on each sector while maintaining overall modeling accuracy through the comprehensive coverage of all sectors
Solution Approach 2:
The patent combines multiple sector models to represent the full reservoir system. By performing history matching on individual sector models and then integrating the results, the system achieves comprehensive reservoir modeling with improved computational efficiency compared to processing the entire model as a single unit
3Measurement precision
If sequential history matching is performed on entire production history, then comprehensive calibration is achieved, but processing time increases
Solution Approach 1:
The patent segments the production history into multiple time segments corresponding to different fluid recovery phases (primary, secondary, tertiary). This temporal segmentation allows history matching to be performed on each time segment independently and in parallel, reducing processing time while maintaining comprehensive calibration across the entire production history
Solution Approach 2:
The patent applies periodic action by performing history matching on discrete time segments corresponding to different recovery phases. Each phase is calibrated independently through parallel processing, and the results are integrated to achieve comprehensive calibration of the entire production history, significantly reducing total processing time
Data Source
AI summary
Methods for validating reservoir simulation models can include determining one or more time segments of fluid recovery of a reservoir; generating, for a first time segment, one or more streamlines on a full simulation grid corresponding to the reservoir by performing one or more reservoir simulations; generating, for the first time segment, one or more drainage volumes; generating, for the first time segment, grid regions along one or more no-flow boundaries of the one or more drainage volumes; generating, for the first time segment, sector models corresponding to the grid regions; performing, for the first time segment, a history matching process corresponding to a time phase simultaneously on each of the sector models to generate, for each sector model, a history matching output; and comparing, for the first time segment and for each sector model, the history matching output for that sector model to a tolerance threshold.