Real-time monitoring and analysis of hydraulic fracturing in surface well using microseismic technology: Case insights and methodological advances

Through a case analysis, this study examines the spatiotemporal evolution of microseismic (MS) events, energy characteristics, volumetric features, and fracture network development in surface well hydraulic fracturing. A total of 349 MS events were analyzed across different fracturing sections, revealing significant heterogeneity in fracture propagation. Energy scanning results showed that cumulative energy values ranged from 240 to 1060 J across the sections, indicating notable differences. Stimulated reservoir volume (SRV) analysis demonstrated well-developed fracture networks in certain sections, with a total SRV exceeding 1540000 m 3 . The hydraulic fracture network analysis revealed that during the mid-fracturing stage, the density and spatial extent of MS events significantly increased, indicating rapid fracture propagation and the formation of complex networks. In the later stage, the number of secondary fractures near fracture edges decreased, and the fracture network stabilized. By comparing the branching index, fracture length, width, height, and SRV values across different fracturing sections, Sections No. 1 and No. 8 showed the best performance, with high MS event densities, extensive fracture networks, and significant energy release. However, Sections No. 4 and No. 5 exhibited sparse MS activity and poor fracture connectivity, indicating suboptimal stimulation effectiveness.

Authors

Institutions

Publication Details

Journal
International Journal of Mining Science and Technology
Published
2025-03-20
DOI
https://doi.org/10.1016/j.ijmst.2025.02.009
Citations
26
Primary Topic
Hydraulic Fracturing and Reservoir Analysis
Type
article
Field-Weighted Citation Impact
18.55
Controls
|||
ALL TIME
JAN
FEB
MAR
APR
MAY
JUN
JUL
AUG
SEP
OCT
article

Real-time monitoring and analysis of hydraulic fracturing in surface well using microseismic technology: Case insights and methodological advances

Yanan Qian, Xiaona Gan, Hexiang Xu, Yuebing Zhang et al.
26 citations
International Journal of Mining Science and Technology
Hydraulic Fracturing and Reservoir Analysis
18.55
article

Real-time monitoring and analysis of hydraulic fracturing in surface well using microseismic technology: Case insights and methodological advances

Yanan Qian, Xiaona Gan, Hexiang Xu, Yuebing Zhang, Menghao Zheng, Ting Liu, Cheng Zhai, Dongyong Xing, Hongda Wen
article en
26 citations

Abstract

Through a case analysis, this study examines the spatiotemporal evolution of microseismic (MS) events, energy characteristics, volumetric features, and fracture network development in surface well hydraulic fracturing. A total of 349 MS events were analyzed across different fracturing sections, revealing significant heterogeneity in fracture propagation. Energy scanning results showed that cumulative energy values ranged from 240 to 1060 J across the sections, indicating notable differences. Stimulated reservoir volume (SRV) analysis demonstrated well-developed fracture networks in certain sections, with a total SRV exceeding 1540000 m 3 . The hydraulic fracture network analysis revealed that during the mid-fracturing stage, the density and spatial extent of MS events significantly increased, indicating rapid fracture propagation and the formation of complex networks. In the later stage, the number of secondary fractures near fracture edges decreased, and the fracture network stabilized. By comparing the branching index, fracture length, width, height, and SRV values across different fracturing sections, Sections No. 1 and No. 8 showed the best performance, with high MS event densities, extensive fracture networks, and significant energy release. However, Sections No. 4 and No. 5 exhibited sparse MS activity and poor fracture connectivity, indicating suboptimal stimulation effectiveness.

International Journal of Mining Science and TechnologyVol. 35(4)
Anhui University of Science and Technology (CN), China University of Mining and Technology (CN), Xinjiang Institute of Engineering (CN), Chengdu University (CN), Underground Systems (United States) (US)
Openalex Percentile: Top 0%
Hydraulic Fracturing and Reservoir Analysis
18.55
AI Navigator

Ask Laika to Summarize, Analyze, and Connect papers live on the map.

Summarize Papers & Methodologies

Extract key findings, datasets, and comparative methods across publications.

Benchmark Rankings & Visual Analytics

Rank top research institutions, authors, funders, topics, and journals by Field-Weighted Citation Impact (FWCI) and paper volume with instant charts.

Connect Distant Disciplines

Bridge topological clusters on the map to find hidden collaborative intersections.