DAS Cumulative Strain for Hydraulic Fracturing Optimization
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Solution Overview
Problem
In multistage hydraulic fracturing, there is a need for accurate monitoring and control of downhole flow and distribution of injected fluids across different perforation clusters and stages to enhance the efficiency and effectiveness of hydrocarbon production, as existing methods lack sufficient real-time measurement capabilities and often result in inefficient fluid distribution leading to overlapping or bypassing of stimulation areas.
Innovation Solution
The implementation of Distributed Acoustic Sensing (DAS) techniques for real-time monitoring and control of perforation cluster spacing and stage length, utilizing DAS measurements to calculate cumulative strain traces and adjust treatment parameters such as perforation cluster spacing and stage length based on performance metrics, thereby optimizing fluid distribution and minimizing redundant or missed stimulation areas.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Measurement precision
If traditional monitoring methods are used for hydraulic fracturing, then device complexity is reduced, but measurement precision and real-time monitoring capability are insufficient
Solution Approach 1:
The patent replaces traditional mechanical sensing systems with distributed acoustic sensing (DAS) technology that uses optical fibers to detect strain changes in the formation. This substitution enables high-precision measurement of fluid distribution and fracture propagation without the complexity of multiple mechanical sensors, resolving the contradiction between measurement precision and device complexity.
Solution Approach 2:
The patent divides the monitoring function into distributed segments along the optical fiber length, allowing continuous spatial measurement of strain changes throughout the treatment zone. This segmentation enables precise localization of fluid injection effects and fracture growth patterns without requiring a single complex centralized sensor system.
2Productivity
If treatment plan is strictly followed without modification, then ease of operation is maintained, but productivity and stimulation effectiveness decrease due to overlapping or bypassing
Solution Approach 1:
The patent implements real-time feedback by continuously monitoring strain changes during hydraulic fracturing and using this information to dynamically adjust treatment parameters. The system provides immediate feedback on fluid distribution and fracture propagation, enabling operators to modify injection rates, pressures, or stage lengths to optimize hydrocarbon recovery while avoiding overlapping or bypassing issues.
Solution Approach 2:
The patent transforms the static treatment plan into a dynamic process where parameters such as injection rate, pressure, and stage length are continuously adjusted based on real-time DAS measurements. This dynamic approach maximizes productivity by adapting to actual formation conditions while maintaining operational simplicity through automated control algorithms.
3Loss of information
If more sensors are installed in the wellbore, then measurement capability improves, but device complexity and installation difficulty increase
Solution Approach 1:
The patent makes the optical fiber serve multiple functions: it acts as both the injection medium for hydraulic fracturing and the sensing element for distributed acoustic sensing. This multi-functionality eliminates the need for separate sensor systems, reducing device complexity while comprehensively capturing downhole measurement data including strain, temperature, and fluid distribution information.
Solution Approach 2:
The patent enables the optical fiber to self-monitor its own environment by detecting strain changes caused by fluid injection and fracture propagation. The fiber automatically provides measurement data without requiring external power sources or additional sensing equipment, reducing overall system complexity while maximizing information retrieval.
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 allows for continuous improvement of stimulation treatment performance by optimizing perforation cluster spacing and stage lengths, reducing redundant stimulation and maximizing hydrocarbon recovery while minimizing treatment fluid usage and costs.
Implementation Method 1
DAS measurements may be used to calculate a cumulative strain trace
Data Source
AI summary
Distributed acoustic sensing (DAS) measurements may be acquired at an observation wellbore during a current stage of a stimulation treatment along a treatment wellbore within a reservoir formation. A cumulative strain trace for the current stage of the stimulation treatment may be determined based on the DAS measurements. Based on the cumulative strain trace, whether or not to adjust a spacing of perforation clusters and/or a stage length used at the treatment wellbore for a subsequent stage of the stimulation treatment may be determined. Responsive to determining to adjust the spacing of the perforation dusters or to adjust the stage length, at least one treatment parameter for the subsequent stage may be adjusted. The subsequent stage may be performed based on the adjusted at least one treatment parameter.