Qixing Zhang , Bing Hou , Anan Wu , Bo Zhang , Gang Chen , Guoan Yang , Tengfei Sun
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引用次数: 0
Abstract
Hydraulic fracturing test sites have been widely established to investigate fracture propagation, often integrating techniques such as distributed fiber optic sensing, microseismic monitoring, and core sampling. However, these multi-source monitoring approaches are costly and time-consuming to implement. Considering the similarity of monitoring principles, single/multi-cluster true triaxial hydraulic fracturing simulations were conducted on continental shale outcrops using a combined system of 16-channel acoustic emission and distributed strain fiber optics. Fracture propagation was controlled by both tensile and shear stresses, with shear contributions typically below 15 %, and was predominantly observed along lamination fractures activated at later stages. Competitive interactions among multi-cluster fractures were observed, reflected in variations in initiation time, sequence, and propagation paths. The stress shadows between two adjacent fractures can overlap, impeding inward propagation and resulting in a characteristic “back-to-back” fracture growth pattern. Simultaneously, stress shadow effects may lead to inhibited initiation in adjacent clusters, enhance fracture linkage along bedding planes, and greater deviation from the SHmax direction. Strain rate responses recorded by adjacent well fiber optics exhibited characteristic geometries: heart-shaped patterns for single fractures and V-shaped patterns for two adjacent fractures, with strain rates ranging from 0 to 300 με/s and durations of 2–4 s. As the fracture approached the monitoring fiber, the strain signature evolved from arcuate (approaching), to heart-shaped (contact), and spindle-shaped (passing through), corresponding to increasing fracture proximity. The findings provide practical guidance for interpreting field monitoring data and optimizing stimulation designs in hydraulic fracturing operations.
期刊介绍:
Contributions are invited on novel achievements in all fields of measurement and instrumentation science and technology. Authors are encouraged to submit novel material, whose ultimate goal is an advancement in the state of the art of: measurement and metrology fundamentals, sensors, measurement instruments, measurement and estimation techniques, measurement data processing and fusion algorithms, evaluation procedures and methodologies for plants and industrial processes, performance analysis of systems, processes and algorithms, mathematical models for measurement-oriented purposes, distributed measurement systems in a connected world.