Dynamic Reservoir Model Update via Local Parameter Segmentation
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Solution Overview
Problem
Petroleum reservoir simulation models are complex and static, making it challenging and costly to incorporate new well data, leading to degraded modeling accuracy over time and missed opportunities for oil recovery optimization.
Innovation Solution
An automated method and system for dynamically updating petroleum reservoir models by integrating new measurement data from new wells into an integrated database, updating calibrated parameters within a predefined distance, and running the updated model to reflect the new well without altering parameters outside this distance, incorporating data from multiple disciplines like geology, geophysics, and fluid dynamics.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Measurement precision
If the reservoir model is updated to incorporate new well data, then the modeling accuracy is improved, but the complexity and cost of re-modeling increases
Solution Approach 1:
The patent segments the reservoir model into a base model and incremental updates. When new well data is acquired, only the specific regions affected by the new well are updated rather than re-modeling the entire reservoir. This segmentation allows frequent updates at reduced complexity and cost.
Solution Approach 2:
The patent implements a dynamic updating mechanism where the reservoir model can be incrementally modified as new data becomes available. The system transitions from static periodic re-modeling to dynamic incremental updates, allowing the model to adapt continuously without requiring complete re-modeling.
2Measurement precision
If the reservoir model is updated frequently to maintain accuracy, then the modeling accuracy is improved, but the time and resources required increase
Solution Approach 1:
By segmenting the update process to affect only local regions around new wells, the patent reduces the time required for updates. The segmentation allows parallel processing of different regions and avoids the time-consuming task of re-modeling the entire reservoir.
Solution Approach 2:
The patent applies partial action by updating only the necessary portions of the model rather than performing complete re-modeling. This selective updating significantly reduces the time and computational resources required while maintaining overall model accuracy.
3Productivity
If new well data is integrated into the reservoir model, then the oil recovery optimization is improved, but the need for costly re-modeling processes increases
Solution Approach 1:
The patent creates a dynamic model updating system that allows cost-effective integration of new well data. By using incremental updates rather than complete re-modeling, the system enables frequent data integration to optimize oil recovery while minimizing the energy and financial costs associated with re-modeling.
Data Source
AI summary
An automated method for dynamically modelling a petroleum reservoir having a plurality of petroleum wells includes: running an integrated reservoir model of the petroleum reservoir built from measurements of the petroleum reservoir and through history matching on a respective plurality of measurement data from the plurality of petroleum wells, in order to describe an operational behavior of the petroleum reservoir based on a set of parameters calibrated by the plurality of measurement data; obtaining new measurement data from a new petroleum well of the petroleum reservoir; updating the set of calibrated parameters to reflect the new measurement data within a predefined distance of the new petroleum well while not updating the set of calibrated parameters outside the predefined distance of the new petroleum well; and running the integrated reservoir model with the updated set of calibrated parameters in order to reflect the new petroleum well in the integrated reservoir model.