DISTRIBUTION ANALYSIS OF MICRO-EARTHQUAKES IN GEOTHERMAL AREAS BY USING COUPLED VELOCITY-HYPOCENTER AND DOUBLE DIFFERENCE METHODS

Authors

  • Widya Utama Department of Geophysical Engineering, Institut Teknologi Sepuluh Nopember, 60111, Surabaya, Indonesia
  • Sherly Ardhya Garini Department of Informatics, Institut Teknologi Sepuluh Nopember, 60111, Surabaya, Indonesia
  • Rista Fitri Indriani Department of Geomatics Engineering, Institut Teknologi Sepuluh Nopember, 60111, Surabaya, Indonesia

DOI:

https://doi.org/10.11113/jurnalteknologi.v88.18447

Keywords:

Coupled velocity-hypocenter, double-difference relocation, geothermal, hypocenter determination, micro-earthquake (MEQ)

Abstract

Accurate and unbiased determination of hypocenter locations remains a major challenge in microearthquake (MEQ) studies. The reliability of the determination process greatly contributes to the real-time monitoring of geothermal reservoir activities. Therefore, this study focuses on monitoring geothermal reservoirs through the spatial distribution of MEQ locations using inversion methods. The inversion methods applied in this research include the single hypocenter determination method, which is used to identify the initial locations of MEQs, and the Coupled Velocity-Hypocenter simultaneous inversion method, which is employed to derive a new 1D velocity model for the MEQ cluster area. In addition, the Double-Difference method is utilized to enhance the accuracy of MEQ hypocenter locations by considering coherence factors between hypocenters. The data processing workflow demonstrates that the 1D velocity model refined by incorporating station corrections within the MEQ cluster area significantly improves the accuracy of hypocenter locations in the geothermal zone. This improvement is evidenced by a reduction of the average RMS residual to 0.07 s, indicating that the relocated hypocenters are reliable and that the derived velocity structure effectively represents the subsurface and approximates the true seismic velocity distribution. Most relocated MEQs are concentrated around the injection and production well zones, with approximately 94.3% of events occurring between 0.5 and -1.5 km depth, corresponding to the active geothermal reservoir. These clusters delineate fracture zones characterized by intense fluid flow activity.

References

Sharmin, T., N. R. Khan, M. S. Akram, and M. M. Ehsan. 2023. A State-of-the-Art Review on Geothermal Energy Extraction, Utilization, and Improvement Strategies: Conventional, Hybridized, and Enhanced Geothermal Systems. International Journal of Thermofluids. 18: 100323. https://doi.org/10.1016/j.ijft.2023.100323.

Chappidi, S., A. Kumar, and J. Singh. 2024. Geothermal Energy Extraction Using a Novel Combined Coaxial and U-Shaped Closed-Loop System. Geothermics. 119: 102968. https://doi.org/10.1016/j.geothermics.2024.102968.

Wu, Y., and P. Li. 2020. The Potential of Coupled Carbon Storage and Geothermal Extraction in a CO₂-Enhanced Geothermal System: A Review. Geothermal Energy. 8(1): 19. https://doi.org/10.1186/s40517-020-00173-w.

Maurer, V., E. Gaucher, M. Grunberg, R. Koepke, R. Pestourie, and N. Cuenot. 2020. Seismicity Induced during the Development of the Rittershoffen Geothermal Field, France. Geothermal Energy. 8(1): 5. https://doi.org/10.1186/s40517-020-0155-2.

Yaghoubi, A., M. Samaroo, and M. B. Dusseault. 2024. Anisotropic Behavior and Mechanical Characteristics of the Montney Formation. International Journal of Rock Mechanics and Mining Sciences. 180: 105831. https://doi.org/10.1016/j.ijrmms.2024.105831.

Duda, M. I., A. Bakk, R. M. Holt, and J. F. Stenebråten. 2023. Anisotropic Poroelastic Modelling of Depletion-Induced Pore Pressure Changes in Valhall Overburden. Rock Mechanics and Rock Engineering. 56(4): 3115–3137. https://doi.org/10.1007/s00603-022-03192-0.

Koray, A.-M., E. Gyimah, M. Metwally, H. Rahnema, and O. Tomomewo. 2025. Leveraging Machine Learning for Enhanced Reservoir Permeability Estimation in Geothermal Hotspots: A Case Study of the Williston Basin. Geothermal Energy. 13(1): 8. https://doi.org/10.1186/s40517-024-00323-4.

Carbajal-Martínez, D., et al. 2024. Behavior of Amagmatic Orogenic Geothermal Systems: Insights from the Agua Blanca Fault, Baja California, Mexico. Geochemistry. Geophysics, Geosystems. 25(3): e2023GC011145. https://doi.org/10.1029/2023GC011145.

Simanjuntak, A. V. H., K. H. Palgunadi, P. Supendi, D. Daryono, T. A. Prakoso, and U. Muksin. 2023. New Insight on the Active Fault System in the Halmahera Volcanic Arc, Indonesia, Derived from the 2022 Tobelo Earthquakes. Seismological Research Letters. 94(6): 2586–2594. https://doi.org/10.1785/0220230006.

Utama, W., D. D. Warnana, and S. A. Garini. 2021. Identification of Micro-Earthquake Hypocenters Using Geiger and Coupled Velocity-Hypocenters Methods. International Journal of Advanced Science, Engineering and Information Technology. 11(1): 350–355. https://doi.org/10.18517/ijaseit.11.1.10589.

Chen, Y., and L. Huang. 2019. Optimal Design of 3D Borehole Seismic Arrays for Microearthquake Monitoring in Anisotropic Media during Stimulations in the EGS Collab Project. Geothermics. 79: 61–66. https://doi.org/10.1016/j.geothermics.2019.01.009.

Supendi, P., et al. 2022. The Kalaotoa Fault: A Newly Identified Fault that Generated the Mw 7.3 Flores Sea Earthquake. The Seismic Record. 2(3): 176–185. https://doi.org/10.1785/0320220015.

Muksin, U., et al. 2023. Secondary Fault System in Northern Sumatra, Evidenced by Recent Seismicity and Geomorphic Structure. Journal of Asian Earth Sciences. 245: 105557. https://doi.org/10.1016/j.jseaes.2023.105557.

McBrearty, I. W., and G. C. Beroza. 2025. Double Difference Earthquake Location with Graph Neural Networks. Earth, Planets and Space. 77(1): 127. https://doi.org/10.1186/s40623-025-02251-4.

Soomro, R. A., S. Iqbal, M. A. Shah, and T. Iqbal. 2022. P-Wave Minimum 1D Velocity Model for Central and Northern Pakistan. Journal of Seismology. 26(5): 1039–1049. https://doi.org/10.1007/s10950-022-10111-x.

Krylov, A. A., et al. 2021. Ocean-Bottom Seismographs Based on Broadband MET Sensors: Architecture and Deployment Case Study in the Arctic. Sensors. 21(12). https://doi.org/10.3390/s21123979.

Wang, K., W. Li, L. Zhao, D. Yu, and S. Wei. 2023. Research on Self-Noise Characteristics of Nine Types of Seismometers Obtained by PDF Representation Using Continuous Seismic Data from the Malingshan Seismic Station, China. Sensors. 23(1). https://doi.org/10.3390/s23010110.

Daubar, I. J., et al. 2020. A New Crater Near InSight: Implications for Seismic Impact Detectability on Mars. Journal of Geophysical Research: Planets. 125(8): e2020JE006382. https://doi.org/10.1029/2020JE006382.

Li, Y., B. J. Yang, J. Badal, X. P. Zhao, H. B. Lin, and R. L. Li. 2009. Chaotic System Detection of Weak Seismic Signals.” Geophysical Journal International. 178(3): 1493–1522. https://doi.org/10.1111/j.1365-246X.2009.04232.x.

Simanjuntak, A. V. H., and K. Ansari. 2023. Spatial Time Cluster Analysis and Earthquake Mechanism for Unknown Active Fault (Kalatoa Fault) in the Flores Sea. Earth Science Informatics. 16(3): 2649–2659. https://doi.org/10.1007/s12145-023-01067-8.

Esquivel-Mendiola, L. I., M. Calò, A. Tramelli, and A. Figueroa-Soto. 2022. Optimization of Local Scale Seismic Networks Applied to Geothermal Fields: The Case of the Acoculco Caldera, Mexico. Journal of South American Earth Sciences. 119: 103995. https://doi.org/10.1016/j.jsames.2022.103995.

Garini, S. A., Madlazim, and E. Rahmawati. 2014. Relokasi Hiposenter Gempa Bumi di Sulawesi Tengah dengan Menggunakan Metode Geiger dan Coupled Velocity-Hypocenter. Jurnal Fisika. 3(2): 107–112.

Braszus, B., A. Rietbrock, C. Haberland, and T. Ryberg. 2024. AI Based 1-D P- and S-Wave Velocity Models for the Greater Alpine Region from Local Earthquake Data. Geophysical Journal International. 237(2): 916–930. https://doi.org/10.1093/gji/ggae077.

Timsina, C., J. Mori, M. Yamada, and S. Ohmi. 2025. Improved 3D Velocity Model for Determining Aftershock Locations of the 2015 Gorkha, Nepal Earthquake. Earth, Planets and Space. 77(1): 132. https://doi.org/10.1186/s40623-025-02259-w.

Muttaqy, F., et al. 2023. Double-Difference Earthquake Relocation Using Waveform Cross-Correlation in Central and East Java, Indonesia. Geoscience Letters. 10(1): 5. https://doi.org/10.1186/s40562-022-00259-2.

Chakravarty, A., and S. Misra. 2023. Improved Hydraulic Fracture Characterization Using Representation Learning. SPE EuropEC – Europe Energy Conference Featured at the 84th EAGE Annual Conference & Exhibition. D031S010R002. https://doi.org/10.2118/214360-MS.

Kang, M., Y. Huang, H. Xin, J. Song, X. Zhang, and R. Peng. 2023. Crustal Structures and Seismogenic Setting of the West Henan Region, North China, as Revealed by Magnetotelluric Imaging. Pure and Applied Geophysics. 180(11): 3835–3853. https://doi.org/10.1007/s00024-023-03369-w.

Leong, Z. X., and T. Zhu. 2024. Machine Learning-Assisted Microearthquake Location Workflow for Monitoring the Newberry Enhanced Geothermal System. Journal of Geophysical Research: Machine Learning and Computation. 1(3): e2024JH000159. https://doi.org/10.1029/2024JH000159.

Blanck, H., K. S. Vogfjörd, H. Geirsson, and V. Hjörleifsdóttir. 2022. Crustal Response to Inflation Imaged by Mapping of Subsurface Faults, Slip Directions, and Stress Changes during the 1993–1998 Unrest in Hengill, SW Iceland. Journal of Volcanology and Geothermal Research. 431: 107666. https://doi.org/10.1016/j.jvolgeores.2022.107666.

Park, H., T.-S. Kang, H. J. Yoo, and D. Heo. 2023. Microearthquake Activity Associated with the 2016 ML 5.0 Offshore Ulsan Earthquake Sequence and Its Tectonic Implications. Marine Geophysical Research. 44(2): 9. https://doi.org/10.1007/s11001-023-09515-2.

Pei, W., J. Zhuang, and S. Zhou. 2025. Stochastic Determination of Arrival Time and Initial Polarity of Seismic Waveform. Earth, Planets and Space. 77(1): 36. https://doi.org/10.1186/s40623-025-02161-5.

Li, L., et al. 2020. Recent Advances and Challenges of Waveform-Based Seismic Location Methods at Multiple Scales. Reviews of Geophysics. 58(1): e2019RG000667. https://doi.org/10.1029/2019RG000667.

Zheng, L., H. Yang, and G. Luo. 2025. Seismic Waveform Feature Extraction and Reservoir Prediction Based on CNN and UMAP: A Case Study of the Ordos Basin. Applied Sciences. 15(13). https://doi.org/10.3390/app15137377.

Dahal, A., H. Tanyaş, and L. Lombardo. 2024. Full Seismic Waveform Analysis Combined with Transformer Neural Networks Improves Coseismic Landslide Prediction. Communications Earth & Environment. 5(1): 75. https://doi.org/10.1038/s43247-024-01243-8.

Muksin, U., K. Bauer, and C. Haberland. 2013. Seismic Vp and Vp/Vs Structure of the Geothermal Area around Tarutung (North Sumatra, Indonesia) Derived from Local Earthquake Tomography. Journal of Volcanology and Geothermal Research. 260: 27–42. https://doi.org/10.1016/j.jvolgeores.2013.04.012.

Afnimar, A., E. Yulianto, and R. Rasmid. 2015. Geological and Tectonic Implications Obtained from First Seismic Activity Investigation around Lembang Fault. Geoscience Letters. 2(1): 4. https://doi.org/10.1186/s40562-015-0020-5.

Chen, H., S. Xue, and X. Zheng. 2024. Multi-Master Event Waveform Stacking Microseismic Location Method Based on Time-Frequency Transformation. Journal of Applied Geophysics. 220: 105267. https://doi.org/10.1016/j.jappgeo.2023.105267.

Cheng, J., G. Song, X. Sun, L. Wen, and F. Li. 2018. Research Developments and Prospects on Microseismic Source Location in Mines. Engineering. 4(5): 653–660. https://doi.org/10.1016/j.eng.2018.08.004.

Liao, Z., T. Feng, W. Yu, D. Cui, and G. Wu. 2022. Microseismic Source Location Method and Application Based on NM-PSO Algorithm. Applied Sciences. 12(17). https://doi.org/10.3390/app12178796.

Wu, S., Y. Wang, Y. Zheng, and X. Chang. 2018. Microseismic Source Locations with Deconvolution Migration.” Geophysical Journal International. 212(3): 2088–2115. https://doi.org/10.1093/gji/ggx518.

Huang, G., J. Ba, Q. Du, and J. M. Carcione. 2019. Simultaneous Inversion for Velocity Model and Microseismic Sources in Layered Anisotropic Media. Journal of Petroleum Science and Engineering. 173: 1453–1463. https://doi.org/10.1016/j.petrol.2018.10.071.

Okamoto, K., L. Yi, H. Asanuma, T. Okabe, Y. Abe, and M. Tsuzuki. 2018. Triggering Processes of Microseismic Events Associated with Water Injection in Okuaizu Geothermal Field, Japan. Earth, Planets and Space. 70(1): 15. https://doi.org/10.1186/s40623-018-0787-7.

Ma, S., and D. W. Eaton. 2011. Combining Double-Difference Relocation with Regional Depth-Phase Modelling to Improve Hypocentre Accuracy. Geophysical Journal International. 185(2): 871–889. https://doi.org/10.1111/j.1365-246X.2011.04972.x.

Lomax, A., and A. Michelini. 2009. Mwpd: A Duration–Amplitude Procedure for Rapid Determination of Earthquake Magnitude and Tsunamigenic Potential from P Waveforms. Geophysical Journal International. 176(1): 200–214. https://doi.org/10.1111/j.1365-246X.2008.03974.x.

Lomax, A., and A. Savvaidis. 2022. High-Precision Earthquake Location Using Source-Specific Station Terms and Inter-Event Waveform Similarity. Journal of Geophysical Research: Solid Earth. 127(1): e2021JB023190. https://doi.org/10.1029/2021JB023190.

Lomax, A., and A. Michelini. 2011. Tsunami Early Warning Using Earthquake Rupture Duration and P-Wave Dominant Period: The Importance of Length and Depth of Faulting. Geophysical Journal International. 185(1): 283–291. https://doi.org/10.1111/j.1365-246X.2010.04916.x.

Zhang, X., W. Zhang, and J. Zhang. 2021. Detecting and Locating Microseismic Events with Stacking Velocity Analysis for Surface Monitoring. Journal of Applied Geophysics. 195: 104470. https://doi.org/10.1016/j.jappgeo.2021.104470.

Tian, X., J. Zhang, and W. Zhang. 2022. A Hybrid Workflow for Updating 1D Velocity Model and Microseismic Event Location. Journal of Applied Geophysics. 200: 104642. https://doi.org/10.1016/j.jappgeo.2022.104642.

Katsumata, A., and T. Nishimiya. 2025. Three-Dimensional Velocity Structure Model for Hypocenter Determination in and around the Japanese Islands. Earth, Planets and Space. 77(1): 115. https://doi.org/10.1186/s40623-025-02243-4.

Downloads

Published

2026-04-30

Issue

Section

Science and Engineering