Ge Jin

Ge Jin

Associate Professor
Co-director of Reservoir Characterization Project
Department of Geophysics

Short Bio

Dr. Ge Jin is Associate Professor of Geophysics and co-PI of Reservoir Characterization Project at Colorado School of Mines. His research focuses on Distributed Fiber-Optic Sensing (DFOS) applications in the fields of oil & gas, geothermal, CO2 sequestration, smart city, and earthquake hazard. He is also interested in machine-learning applications and seismic imaging. He obtained his Ph.D. in Geophysics from Columbia University in the City of New York, and dual B.S. in Geophysics and Computer Science from Peking University in Beijing. He worked as a research geophysicist in the oil industry for five years before joining Colorado School of Mines as a faculty member in 2019.

Education

• B.S. in Geophysics, Peking University, 2006
• B.S. in Computer Science, Peking University, 2006
• M.S. in Geophysics, Peking University, 2009
• Ph.D. in Geophysics, Columbia University, 2014

Research

• Distributed Fiber Optic Sensing Applications
• Machine learning
• Seismic imaging and interpretation

Teaching

• GPGN319: Applied Geophysics II
  • 16-week in-person course
  • Syllabus

• GPGN436/536: Geophysical Computing/Advanced Geophysical Computing
  • Offered in fall semesters
  • Syllabus: GPGN436, GPGN536

• GPGN545: Introduction to Distributed Fiber-Optic Sensing and Its Applications
  • 8-week online course
  • Offered in fall semesters
  • Syllabus

Selected Publications

* papers first-authored by my student or postdoc 

2024 (15) 

Ali, S., Jin, G. and Fan, Y., 2024. Characterization of Gas–Liquid Two-Phase Slug Flow Using Distributed Acoustic Sensing in Horizontal Pipes. Sensors, 24(11), p.3402. 

Chambers, D., Jin, G., Tourei, A., Issah, A.H.S., Lellouch, A., Martin, E., Zhu, D., Girard, A., Yuan, S., Cullison, T. and Snyder, T., 2024. DASCore: a Python Library for Distributed Fiber Optic Sensing. Seismica, 3(2). 

*Garcia-Ceballos, A.M., Jin, G., Collett, T.S., Merey, S. and Haines, S.S., 2024. Long-Term Distributed Temperature Sensing Monitoring for Near-Wellbore Gas Migration and Gas Hydrate Formation. SPE Journal, pp.1-16. 

*Garcia-Ceballos, A., Benabid, M.K., Jin, G. and Fan, Y., 2024. Monitoring Slug Flow Using Distributed Acoustic Sensing Technology with Different Sensing Cable Configurations. SPE Journal, 29(12), pp.6980-6992. 

Jin, G., Ning, Y., Gale, M., Simmons, J. and Tura, A., 2024. Impact of natural fractures on hydraulic fracture propagation in Denver-Julesburg Basin: Insights from a decade of research. The Leading Edge, 43(12), pp.806-814. 

*Li, P. and Jin, G., 2024. Using distributed acoustic sensing to characterize unconventional reservoirs via perforation-shot triggered P waves. Geophysics, 89(2), pp.P11-P19. 

*Li, P., Jin, G., Hammack, R., Kohnke, C. and Wu, K., 2024. Heart Shape to Fracture Distance: Characterizing Hydraulic Fracture Propagation before Hits. SPE Journal, pp.1-12. 

Ma, W., Wu, K. and Jin, G., Investigation of Effective Fracture Height Using Strain Responses in a Vertical Monitoring Well during a Well Interference Test. SPE Journal, pp.1-13. 

*Mjehovich, J., Jin, G. and Wu, K., 2024. Quantitative Multistage Fracturing Efficiency Evaluation Using Cross-Well Strain Measurements. Interpretation, 12(4), pp.1-53. 

Mjehovich, J., Srinivasan, A., Wang, W., Wu, K. and Jin, G., 2024. Quantitative Analysis of Hydraulic Fracturing Test Site 2 Completion Designs Using Crosswell Strain Measurement. SPE Journal, pp.1-15. 

Ning, Y., Jin, G., Tura, A. and Gale, M., 2024. Exploring Variations in Orientation and Velocity of Hydraulic Fracture Propagation in Denver-Julesburg Basin. SPE Journal, pp.1-12. 

Song, X., Jin, G., Wu, K. and Wan, X., 2024. A Numerical Model for Analyzing Mechanical Slippage Effect on Crosswell Distributed Fiber-Optic Strain Measurements During Fracturing. SPE Journal, 29(09), pp.4724-4736. 

Srinivasan, A., Mjehovich, J., Wu, K., Jin, G., Wang, W., & Moridis, G. J. (2024). Fracture height quantification from vertical and horizontal section fiber measurements: A comprehensive study using LF-DAS measurements from HFTS-2 data set. SPE Journal, 29(06), 3171–3186. 

Zhang, L., Zhao, Y., Liu, L., Jin, G., Xian, C., Ning, Z. and Wang, C., 2024. Far-field radiation patterns of distributed acoustic sensing in anisotropic media with an explosive source and vertically straight fiber. Petroleum Science. 

*Zhu, D., Jin, G., Shang, X., Shen, Y., Chen, J. and Goh, V., 2024. Estimating soil strength using ultra high resolution seismic: A case study from a shallow water windfarm. Geophysics, 90(2), pp.1-41. 

2023 (6) 

Liu, Y., Liu, L., Jin, G., Wu, K., Reagan, M. and Moridis, G., 2023. Simulation-based evaluation of the effectiveness of fiber-optic sensing in monitoring and optimizing water circulation in next-generation enhanced geothermal systems. Geoenergy Science and Engineering, 221, p.211378. 

*Mjehovich, J., Jin, G., Martin, E.R. and Shragge, J., 2023. Rapid Surface Deployment of a DAS System for Earthquake Hazard Assessment. Journal of Geotechnical and Geoenvironmental Engineering, 149(5), p.04023027. 

*Ning, Y. and Jin, G., 2023. Challenges and Best Practices in Interpreting Cross-well Strain Signals to Monitor Multi-Crew Zipper Fracturing Operations. Interpretation, 11(2), pp.1-43. 

*Ning, Y., Schumann, H. and Jin, G., 2023. Application of Data Mining to Small Data Sets: Identification of Key Production Drivers in Heterogeneous Unconventional Resources. SPE Reservoir Evaluation & Engineering, pp.1-11. 

Srinivasan, A., Mjehovich, J., Wang, W., Wu, K., Jin, G. and Moridis, G., 2023. Evaluation of Parent Well Depletion Effects on Fracture Geometry Based on Low-Frequency Distributed Acoustic Sensing in Hydraulic Fracture Test Site-2. SPE Production & Operations, pp.1-15. 

Srinivasan, A., Liu, Y., Wu, K., Jin, G. and Moridis, G., 2023. Geomechanical Modeling of Fracture-Induced Vertical Strain Measured by Distributed Fiber-Optic Strain Sensing. SPE Production & Operations, pp.1-15. 

2022 (12) 

Cheng, L., Jin, G., Michelena, R. and Tura, A., 2022. Practical Bayesian Inversions for Rock Composition and Petrophysical Endpoints in Multimineral Analysis. SPE Reservoir Evaluation & Engineering, pp.1-17. 

Collett, T.S., Zyrianova, M.V., Okinaka, N., Wakatsuki, M., Boswell, R., Marsteller, S., Minge, D., Crumley, S., Itter, D., Hunter, R. and Garcia-Ceballos, A., Jin, G. 2022. Planning and Operations of the Hydrate 01 Stratigraphic Test Well, Prudhoe Bay Unit, Alaska North Slope. Energy & Fuels, 36(6), pp.3016-3039. 

Liu, Y., Jin, G. and Wu, K., 2022. New Insights on Characteristics of the Near-Wellbore Fractured Zone from Simulated High-Resolution Distributed Strain Sensing Data. SPE Reservoir Evaluation & Engineering, 25(01), pp.99-112. 

Liu, Y., Jin, G., Wu, K. and Moridis, G., 2022. Quantitative Hydraulic-Fracture-Geometry Characterization with Low-Frequency Distributed-Acoustic-Sensing Strain Data: Fracture-Height Sensitivity and Field Applications. SPE Production & Operations, 37(02), pp.159-168. 

Liu, Y., Huff, O., Luo, B., Jin, G. and Simmons, J., 2022. Convolutional neural network‐based classification of microseismic events originating in a stimulated reservoir from distributed acoustic sensing data. Geophysical Prospecting, 70(5), pp.904-920. 

*Ning, Y., Jin, G., Zhu, X. and Tura, A., 2022. Well Interference and Fracture Geometry Investigation Using Production and Low-Frequency Distributed Acoustic Sensing Data in an Unconventional Reservoir. SPE Reservoir Evaluation & Engineering, pp.1-11. 

* Staněk F, Jin G and Simmons J, 2022. Fracture Imaging Using DAS-Recorded Microseismic Events. Front. Earth Sci. 10:907749. doi: 10.3389/feart.2022.907749 

*Schumann, H. and Jin, G., 2022. Inferring hydraulic connectivity of induced fractures in the near-wellbore region using distributed acoustic sensing-recorded tube waves excited by perforation shots. Geophysics, 87(3), pp.D101-D109. 

*Titov, A., Fan, Y., Kutun, K. and Jin, G., 2022. Distributed Acoustic Sensing (DAS) Response of Rising Taylor Bubbles in Slug Flow. Sensors, 22(3), p.1266. 

*Titov, A., Jin, G., Binder, G. and Tura, A., 2022. Distributed acoustic sensing time-lapse vertical seismic profiling during zipper-fracturing operations: Observations, modeling, and interpretation. Geophysics, 87(6), pp.B329-B336. 

Yang, J., Shragge, J. and Jin, G., 2022. Filtering Strategies for Deformation-Rate Distributed Acoustic Sensing. Sensors, 22(22), p.8777. 

*Zhu, X. and Jin, G., 2022. Hydraulic Fracture Propagation in Denver-Julesburg Basin Constrained by Cross-Well Distributed Strain Measurements. SPE Journal, pp.1-9. 

2021(11) 

Cavur, M., Moraga, J., Duzgun, H.S., Soydan, H. and Jin, G., 2021. Displacement Analysis of Geothermal Field Based on PSInSAR And SOM Clustering Algorithms A Case Study of Brady Field, Nevada—USA. Remote Sensing, 13(3), p.349. 

Jin, G., Ugueto, G., Wojtaszek, M., Guzik, A., Jurick, D. and Kishida, K., 2021. Novel Near-Wellbore Fracture Diagnosis for Unconventional Wells Using High-Resolution Distributed Strain Sensing during Production. SPE Journal, pp.1-10. 

*Huff, O., Luo, B., Lellouch, A. and Jin, G., 2021. An eigenfunction representation of deep waveguides with application to unconventional reservoirs. Geophysics, 86(6), pp.T509-T521. 

Lellouch, A., Biondi, E., Biondi, B.L., Luo, B., Jin, G. and Meadows, M.A., 2021. Properties of a deep seismic waveguide measured with an optical fiber. Physical Review Research, 3(1), p.013164. 

Liu, Y., Jin, G., Wu, K. and Moridis, G., 2021. Quantitative Hydraulic-Fracture-Geometry Characterization with Low-Frequency Distributed-Acoustic-Sensing Strain Data: Fracture-Height Sensitivity and Field Applications. SPE Production & Operations, pp.1-10. 

Liu, Y., Jin, G., Wu, K. and Moridis, G., 2021. Hydraulic-Fracture-Width Inversion Using Low-Frequency Distributed-Acoustic-Sensing Strain Data Part II: Extension for Multifracture and Field Application. SPE Journal, pp.1-13. 

Liu, Y., Jin, G., Wu, K. and Moridis, G., 2021. Hydraulic-Fracture-Width Inversion Using Low-Frequency Distributed-Acoustic-Sensing Strain Data—Part I: Algorithm and Sensitivity Analysis. SPE Journal, 26(01), pp.359-371. 

Liu, Y., Wu, K., Jin, G., Moridis, G., Kerr, E., Scofield, R. and Johnson, A., 2021. Fracture-Hit Detection Using LF-DAS Signals Measured during Multifracture Propagation in Unconventional Reservoirs. SPE Reservoir Evaluation & Engineering, 24(03), pp.523-535. 

*Luo, B., Jin, G. and Stanek, F., 2021. Near-field strain in distributed acoustic sensing-based microseismic observation. Geophysics, 86(5), pp.P49-P60. 

*Luo, B., Lellouch, A., Jin, G., Biondi, B. and Simmons, J., 2021. Seismic inversion of shale reservoir properties using microseismic-induced guided waves recorded by distributed acoustic sensing (DAS). Geophysics, 86(4), pp.1-58. 

*Titov, A., Binder, G., Liu, Y., Jin, G., Simmons, J., Tura, A., Monk, D., Byerley, G. and Yates, M., 2021. Modeling and interpretation of scattered waves in interstage distributed acoustic sensing vertical seismic profiling survey. Geophysics, 86(2), pp.D93-D102. 

Previous (22) 

*Huff, O., Lellouch, A., Luo, B., Jin, G. and Biondi, B., 2020. Validating the origin of microseismic events in target reservoir using guided waves recorded by DAS. The Leading Edge, 39(11), pp.776-784. 

Liu, Y., Wu, K., Jin, G. and Moridis, G., 2020. Rock Deformation and Strain-Rate Characterization during Hydraulic Fracturing Treatments: Insights for Interpretation of Low-Frequency Distributed Acoustic-Sensing Signals. SPE Journal, 25(05), pp.2251-2264. 

Jin, G., Mendoza, K., Roy, B. and Buswell, D.G., 2019. Machine learning-based fracture-hit detection algorithm using LFDAS signal. The Leading Edge, 38(7), pp.520-524. 

Jin, G. and Roy, B., 2017. Hydraulic-fracture geometry characterization using low-frequency DAS signal. The Leading Edge, 36(12), pp.975-980. 

Lin, P.Y.P., Gaherty, J.B., Jin, G., Collins, J.A., Lizarralde, D., Evans, R.L. and Hirth, G., 2016. High-resolution seismic constraints on flow dynamics in the oceanic asthenosphere. Nature, 535(7613), pp.538-541. 

Bao, X., Dalton, C.A., Jin, G., Gaherty, J.B. and Shen, Y., 2016. Imaging Rayleigh wave attenuation with USArray. Geophysical Journal International, 206(1), pp.241-259. 

Li, S.L., Jin, G., Lin, P.Y., Chen, Y.S. and Ge, Z.X., 2016. Green functions between antipodal station pairs from cross-correlation of ambient noises. Chinese Journal of Geophysics, 59(6), pp.2028-2038. 

Abers, G.A., Eilon, Z., Gaherty, J.B., Jin, G., Kim, Y.H., Obrebski, M. and Dieck, C., 2016. Southeast Papuan crustal tectonics: Imaging extension and buoyancy of an active rift. Journal of Geophysical Research: Solid Earth, 121(2), pp.951-971. 

Jin, G., Gaherty, J.B., Abers, G.A., Kim, Y., Eilon, Z. and Buck, W.R., 2015. Crust and upper mantle structure associated with extension in the Woodlark Rift, Papua New Guinea from Rayleigh‐wave tomography. Geochemistry, Geophysics, Geosystems, 16(11), pp.3808-3824. 

Jin, G. and Gaherty, J.B., 2015. Surface wave phase-velocity tomography based on multichannel cross-correlation. Geophysical Journal International, 201(3), pp.1383-1398. 

Menke, W. and Jin, G., 2015. Waveform fitting of cross spectra to determine phase velocity using Aki’s formula. Bulletin of the Seismological Society of America, 105(3), pp.1619-1627. 

Eilon, Z., Abers, G.A., Gaherty, J.B. and Jin, G., 2015. Imaging continental breakup using teleseismic body waves: The W oodlark R ift, P apua N ew G uinea. Geochemistry, Geophysics, Geosystems, 16(8), pp.2529-2548. 

Tang, Y., Zhou, S., Chen, Y.J., Sandvol, E., Liang, X., Feng, Y., Jin, G., Jiang, M. and Liu, M., 2015. Crustal structures across the western Weihe Graben, North China: Implications for extrusion tectonics at the northeast margin of Tibetan Plateau. Journal of Geophysical Research: Solid Earth, 120(7), pp.5070-5081. 

Fan, W.Y., Chen, Y.S., Tang, Y.C., Zhou, S.Y., Feng, Y.G., Yue, H., Wang, H.Y., Jin, G., Wei, S.Q., Wang, Y.B. and Gai, Z.X., 2015. Crust and upper mantle velocity structure of the eastern Tibetan Plateau and adjacent regions from ambient noise tomography. Chinese Journal of Geophysics, 58(5), pp.1568-1583. 

Eilon, Z., Abers, G.A., Jin, G. and Gaherty, J.B., 2014. Anisotropy beneath a highly extended continental rift. Geochemistry, Geophysics, Geosystems, 15(3), pp.545-564. 

Wang, H.Y., Hearn, T., Chen, Y.S., Pei, S.P., Feng, Y.G., Yue, H., Jin, G., Zhou, S.Y., Wang, Y.B., Ge, Z.X. and Ning, J.Y., 2013. Pn wave tomography of eastern Tibetan plateau. Chinese Journal of Geophysics, 56(2), pp.472-480. 

Yue, H., Chen, Y.J., Sandvol, E., Ni, J., Hearn, T., Zhou, S., Feng, Y., Ge, Z., Trujillo, A., Wang, Y. and Jin, G., 2012. Lithospheric and upper mantle structure of the northeastern Tibetan Plateau. Journal of Geophysical Research: Solid Earth, 117(B5). 

Jin, G., Tang, Y., Zhou, S. and Chen, Y.J., 2010. Doppler effect of the rupture process of the great MW 7.9 Wenchuan earthquake. Earthquake Science, 23(6), pp.535-539. 

Wei, S., Chen, Y.J., Sandvol, E., Zhou, S., Yue, H., Jin, G., Hearn, T.M., Jiang, M., Wang, H., Fan, W. and Liu, Z., 2010. Regional earthquakes in northern Tibetan Plateau: Implications for lithospheric strength in Tibet. Geophysical Research Letters, 37(19). 

Jin, G., Chen, Y.S. and Basang, C.R., 2009. Investigation of local earthquakes in the Lhasa region. Chinese Journal of Geophysics, 52(12), pp.3020-3026. 

Liang, X., Zhou, S., Chen, Y.J., Jin, G., Xiao, L., Liu, P., Fu, Y., Tang, Y., Lou, X. and Ning, J., 2008. Earthquake distribution in southern Tibet and its tectonic implications. Journal of Geophysical Research: Solid Earth, 113(B12). 

Fu, Y.V., Chen, Y.J., Li, A., Zhou, S., Liang, X., Ye, G., Jin, G., Jiang, M. and Ning, J., 2008. Indian mantle corner flow at southern Tibet revealed by shear wave splitting measurements. Geophysical Research Letters, 35(2).