Optical Fiber Fracturing Model for Active Perforation Detection
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Solution Overview
Problem
Current hydraulic fracturing methods lack real-time data integration and adaptive modeling, leading to inefficiencies in identifying active perforation locations and micro-seismic events, which affects the accuracy of fracturing operations and subsequent production flow characteristics.
Innovation Solution
The method involves obtaining distributed optical fiber data from downhole sensors to determine active and inactive perforation locations and micro-seismic events, generating a fracturing model, and adjusting it in real-time to optimize fracturing operations and improve predicted flow characteristics.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Measurement precision
If traditional hydraulic fracturing methods are used without real-time data integration, then the operation can be performed with simpler equipment and procedures, but the accuracy of identifying active perforation locations and micro-seismic events deteriorates
Solution Approach 1:
The patent combines multiple data sources (optical fiber data, fracturing data, micro-seismic data) into a unified fracturing model. The optical fiber cable serves as both a conduit for fracturing fluid and a sensor for detecting strain and temperature, merging monitoring functions with the existing fracturing infrastructure to improve measurement precision without proportionally increasing device complexity.
Solution Approach 2:
The optical fiber cable performs multiple functions: it serves as a structural component of the wellbore, a conduit for fracturing fluid, and a distributed sensor for detecting strain, temperature, and micro-seismic events. This multi-functionality allows the system to gather comprehensive data without adding separate dedicated sensing equipment, thereby improving measurement capability while limiting complexity increase.
2Productivity
If real-time fracturing modeling and adaptive adjustment are implemented, then the productivity and optimization of fracturing operations improve, but the complexity of the control system increases
Solution Approach 1:
The system continuously monitors fracturing parameters using optical fiber sensors and compares actual data against the fracturing model predictions. The model is dynamically adjusted based on this feedback, allowing real-time optimization of fracturing operations. This closed-loop control improves productivity by enabling adaptive decision-making while managing complexity through automated algorithms that process sensor data and update models continuously.
Solution Approach 2:
A fracturing model is developed and calibrated before the actual fracturing operation begins, using preliminary optical fiber data and formation characteristics. This pre-modeling allows operators to predict fracture propagation and optimize injection parameters in advance, improving operational efficiency while reducing the complexity of real-time control by having a pre-established framework to work within.
3Measurement precision
If distributed optical fiber sensing is deployed throughout the wellbore, then the measurement precision of fracturing parameters improves, but the cost and complexity of the monitoring system increases
Solution Approach 1:
The optical fiber cable performs multiple functions: it serves as a structural component of the wellbore, a conduit for fracturing fluid, and a distributed sensor for detecting strain, temperature, and micro-seismic events. This multi-functionality allows the system to gather comprehensive data without adding separate dedicated sensing equipment, thereby improving measurement capability while limiting complexity increase.
Solution Approach 2:
The optical fiber sensing system leverages the existing optical fiber infrastructure already present in the wellbore for fluid delivery. The system uses the fiber's inherent physical properties (strain, temperature sensitivity) to provide sensing capabilities without requiring additional sensors or complex installation procedures. The fiber essentially serves itself as both a functional conduit and a measurement device, reducing overall system complexity.
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 enhances the accuracy of fracturing models, leading to more efficient fracturing operations and improved production flow rates by continuously updating fracturing parameters based on real-time data, thereby optimizing hydrocarbon extraction.
Implementation Method 1
obtaining, during the fracturing operation, distributed optical fiber data from a first downhole sensor of a treatment well
Implementation Method 2
distributed optical fiber data from a first downhole sensor
Data Source
AI summary
A method for performing a fracturing operation in a subterranean formation of a field. The method includes obtaining, during the fracturing operation, distributed optical fiber data from a downhole sensor of a treatment well in the subterranean formation, and determining, based on the distributed optical fiber data, an active perforation location from a number of pre-determined perforation locations of the treatment well. The active perforation location is a location of fluid flow into the subterranean formation during the fracturing operation. The method further includes generating, based at least on the active perforation location, a fracturing model for the subterranean formation, and performing, based on the fracturing model, modeling of the fracturing operation to generate a modeling result.