Reservoir Facies Classification Integrating Seismic and Petrophysical Data
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Solution Overview
Problem
Current geostatistical facies modeling methods fail to effectively integrate seismic data into facies-based reservoir models, leading to inconsistencies and an inability to accurately classify subsurface reservoirs using petrophysical properties alone, as direct observation of these properties from seismic signals is not possible.
Innovation Solution
The method automates facies classification by identifying clusters of seismic data points based on both petrophysical and geophysical information, modeling relationships between these properties, and iteratively refining the classification using canonical correlation analysis to segment geophysical and petrophysical data points.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Reliability
If facies classification is performed using only petrophysical properties, then the classification is simple and straightforward, but the results are inconsistent with seismic data and cannot accurately represent subsurface reservoirs
Solution Approach 1:
The patent combines petrophysical properties (from well logs) and geophysical properties (from seismic data) into a unified facies classification system. By merging these two data sources, the classification achieves consistency with both well data and seismic data, resolving the contradiction between reliability and complexity.
Solution Approach 2:
The patent introduces an intermediary mapping relationship between petrophysical properties and geophysical properties. This intermediary layer allows seismic data to be correlated with petrophysical facies through modeled relationships, enabling consistent classification without direct observation of petrophysical properties from seismic signals.
2Reliability
If seismic data is integrated into facies classification, then the realism of reservoir models improves, but the ability to directly observe petrophysical properties from seismic signals is lost
Solution Approach 1:
The patent establishes an intermediary mapping framework where geophysical properties from seismic data are correlated with petrophysical properties through modeled relationships. This intermediary layer preserves the indirect nature of seismic observation while enabling meaningful facies classification by translating geophysical signals into petrophysical interpretations.
Solution Approach 2:
The patent transforms the classification approach by changing from direct petrophysical measurement to indirect geophysical observation with parameter mapping. By changing the observation parameters and introducing mapping relationships, the system achieves realistic reservoir models while acknowledging the limitations of seismic signal observation.
3Adaptability or versatility
If traditional facies classification methods are used, then the process is straightforward, but the integration of seismic data and petrophysical properties is inadequate
Solution Approach 1:
The patent merges traditional facies classification methods with seismic data integration by combining petrophysical property analysis with geophysical property correlation. This merging enables the system to handle both well log data and seismic data within a unified framework, improving adaptability while managing complexity through systematic integration.
Data Source
AI summary
A computer implemented method for identifying reservoir facies in a subsurface region includes obtaining a set of seismic data points of both petrophysical and geophysical parameters relating to the subsurface region, identifying one or more correlated clusters of petrophysical parameters, generating, from the one or more correlated clusters of petrophysical parameters, one or more corresponding multi-dimensional clusters of seismic data points, storing, in a facies database, a multi-dimensional cluster center point for at least one multi-dimensional clusters, and recursively splitting the multi-dimensional clusters into distinct sub-clusters of seismic data points corresponding to facies types.