Cross-Bedding Model for Flood Front Detection
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Solution Overview
Problem
Conventional fluid flood monitoring in hydrocarbon production systems, particularly in cross-bedding formations, faces challenges due to the inaccuracy of non-cross bedding models, leading to incorrect detection of the flood front location and movement, which results in inefficient hydrocarbon recovery and increased costs.
Innovation Solution
A cross-bedding model is introduced that accounts for the anisotropy and layering alignment in formations, using electromagnetic monitoring with a parametric model to calculate the distance to the flood front and permeability, allowing for precise detection and optimization of fluid flood monitoring in complex geologies.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Measurement precision
If non-cross bedding model is used for electromagnetic monitoring, then the monitoring system is simple and easy to operate, but the detection accuracy of flood front location is poor in cross-bedding formations
Solution Approach 1:
The patent changes the fundamental parameters of the electromagnetic monitoring model by introducing cross-bedding specific parameters (cross-bedding angle, layer thickness, alternating permeability values) to replace the simple isotropic model. This allows accurate detection of flood front location in cross-bedding formations by matching the actual geological structure parameters in the monitoring model.
Solution Approach 2:
The patent implements a dynamic monitoring approach that continuously updates flood front location estimates as new electromagnetic data becomes available. The system dynamically adjusts monitoring parameters and repositions measurement points based on detected flood front movement, enabling adaptive tracking of the flood front through complex cross-bedding structures.
2Measurement precision
If conventional electromagnetic monitoring is used, then the operational cost is lower, but the flood front detection accuracy in cross-bedding environments is insufficient
Solution Approach 1:
The patent segments the cross-bedding formation into discrete layers with alternating permeability characteristics. By dividing the complex formation into manageable segments (individual beds with specific thickness and permeability values), the monitoring system can accurately model electromagnetic signal propagation through each layer, significantly improving flood front detection accuracy in cross-bedding environments.
Solution Approach 2:
The patent introduces an intermediate computational layer that translates raw electromagnetic measurements into flood front location information specific to cross-bedding geometries. This intermediary processing step uses the layered permeability model to interpret electromagnetic signals, acting as a mediator between the physical measurement system and the flood front detection objective.
3Productivity
If flood front detection accuracy is improved using cross-bedding model, then hydrocarbon recovery efficiency increases, but the computational complexity and processing time increase
Solution Approach 1:
The patent performs preliminary characterization of the cross-bedding formation before flood operations begin. By pre-determining layer thickness, permeability ratios, and cross-bedding angles through initial measurements and core data, the system establishes a ready-made geometric model that accelerates real-time flood front tracking during production, reducing computational burden during critical monitoring phases.
Applied Scientific Principles
This section explains which scientific principles are used to turn an abstract innovation direction into a practical engineering solution.
Function Achieved in This Case
This approach provides more accurate estimations of flood front distance and fluid saturation, enabling optimized fluid flood monitoring and reducing unnecessary production of injection fluids, thereby enhancing hydrocarbon recovery and minimizing costs.
Implementation Method 1
making a measurement of a formation containing a flood front with a downhole electromagnetic sensor
Data Source
AI summary
A measurement is made of a formation containing a flood front with a downhole electromagnetic sensor. A parameter of a cross-bedding model is calculated by fitting the measurement to the cross-bedding model. A rock petrophysical parameter is calculated using the cross-bedding model. The cross-bedding model is updated using the rock petrophysical parameter. The updated cross-bedding model is used to make an operational decision.