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Abstract

Summary

Historically, hydraulic fracture stimulation has relied on surface-based pressure gauges for quality control, a known limitation that often results in suboptimal treatments. Operations rarely include downhole gauges, high-frequency pressure monitoring, or microseismic services to monitor fluid entry points and estimate stimulated rock volume. Recently, low- and high-frequency acoustic data from fiber-optic (FO) cables have emerged as valuable tools, providing enhanced precision and real-time insights. This approach aims to improve the understanding of slurry distribution, fracture dynamics, and real-time optimization in multi-stage hydraulic fracturing by leveraging advancements in FO data acquisition and fracture modeling.

This innovative workflow utilizes particulate diverters, dynamically generates pumping schedules for each cluster, and integrates them with a hydraulic fracturing simulator, replacing traditional rate-splitting methods. This methodology visualizes fracture evolution over space and time, detects discrepancies between designed and actual fracture parameters, and optimizes cluster efficiency and fracture coverage across the reservoir’s net pay thickness or lateral.

The integration of fiber-optic data acquisition with real-time monitoring and multi-physics hydraulic fracturing simulators enhances monitoring accuracy and enables the optimization of hydraulic stimulation operations. The workflow identifies discrepancies between design parameters and actual outcomes, allowing real-time adjustments to improve efficiency and achieve desired stimulation performance. The proposed workflow applies to both fracturing and refracturing operations, supporting real-time and post-job analysis. By enabling detailed real-time data processing, it bridges traditional and advanced hydraulic fracturing techniques, offering a novel approach to treatment optimization. It addresses technologies such as diversion optimization, proppant suspension with degradable fibers, stage isolation correction, and flow conformance in unconventional reservoirs. By replacing rate-splitting with real-time measured data, it leverages fiber-optic technologies and stimulation models for greater accuracy. It integrates with fiber-optic methods like microseismic monitoring, strain monitoring, and seismic surveys, using the same monitoring device to deliver several complementary answer products.

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/content/papers/10.3997/2214-4609.202574031
2025-07-03
2026-02-11
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References

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