Naturally-Fractured Reservoir EOR Estimation via Multiple-Porosity Modeling
Find Innovative SolutionsGenerate Solutions
Solution Overview
Problem
Current software-based tools are inadequate for analyzing and estimating Enhanced Oil Recovery (EOR) processes in naturally-fractured reservoirs, as they are limited to single porosity systems and fail to accurately account for the complex flow and recovery systems in multiple-porosity reservoirs.
Innovation Solution
A method and apparatus that classify naturally-fractured reservoirs based on their properties and generate estimations for EOR processes, incorporating an integrated tool with input, screening, and estimator components to identify suitable EOR schemes and quantify incremental recovery, leveraging a smart guide system with collective knowledge in EOR, reservoir engineering, and modeling.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Extent of automation
If existing software-based tools are used for EOR process selection, then automation is achieved, but accuracy of incremental recovery estimation is insufficient for naturally-fractured reservoirs
Solution Approach 1:
The patent transforms the reservoir model from a single-porosity representation to a multiple-porosity representation by introducing additional parameters such as fracture porosity, matrix porosity, and inter-porosity flow coefficients. This parameter transformation enables the software to accurately represent naturally-fractured reservoirs while maintaining automated operation.
2Measurement precision
If traditional manual methods are used for EOR process selection, then accuracy of expert judgment is maintained, but time consumption and operational complexity increase
Solution Approach 1:
The patent creates a virtual digital twin of the naturally-fractured reservoir by implementing a multiple-porosity numerical model that replicates the complex flow and recovery systems. This virtual copy allows automated simulation and analysis, achieving expert-level accuracy without manual intervention and significantly reducing time consumption.
3Device complexity
If single porosity models are used in software tools, then model simplicity is maintained, but applicability to naturally-fractured reservoirs is limited
Solution Approach 1:
The patent develops a universal multiple-porosity model framework that can handle both conventional and naturally-fractured reservoirs. The model incorporates optional fracture network modules that can be activated based on reservoir characteristics, making the software versatile across different reservoir types while maintaining a unified theoretical foundation.
Data Source
AI summary
A method, apparatus, and program product generate an estimation of an incremental recovery for an Enhanced Oil Recovery (EOR) process performed on a naturally-fractured reservoir by classifying the naturally-fractured reservoir based upon a set of reservoir properties associated with the naturally-fractured reservoir, and generating an estimation of the incremental recovery for at least one EOR process based on the classification of the naturally-fractured reservoir.