Numerical modeling of seismic and displacement-based monitoring for the EGS Collab project

Lianjie Huang; Yu Chen; Kai Gao; Pengcheng Fu; Joseph Morris; Jonathan Ajo-Franklin; Seiji Nakagawa; J. Ajo-Franklin; S. J. Bauer; T. Baumgartner; D. Blankenship; A. Bonneville; L. Boyd; S. T. Brown; J. A. Burghardt; S. A. Carroll; T. Chen; C. Condon; P. J. Cook; P. F. Dobson; T. Doe; C. A. Doughty; D. Elsworth; L. P. Frash; Z. Frone; P. Fu; A. Ghassemi; H. Gudmundsdottir; Y. Guglielmi; G. Guthrie; B. Haimson; J. Heise; C. G. Herrick; M. Horn; R. N. Horne; M. Hu; H. Huang; L. Huang; T. C. Johnson; B. Johnston; S. Karra; K. Kim; D. K. King; T. Kneafsey; H. Knox; D. Kumar; M. Lee; K. Li; M. Maceira; N. Makedonska; C. Marone; E. Mattson; M. W. McClure; J. McLennan; T. McLing; R. J. Mellors; E. Metcalfe; J. Miskimins; J. P. Morris; S. Nakagawa; G. Neupane; G. Newman; A. Nieto; C. M. Oldenburg; R. Pawar; P. Petrov; B. Pietzyk; R. Podgorney; Y. Polsky; S. Porse; B. Roggenthen; J. Rutqvist; H. Santos-Villalobos; P. Schwering; V. Sesetty; A. Singh; M. M. Smith; N. Snyder; H. Sone; E. L. Sonnenthal; N. Spycher; C. E. Strickland; J. Su; A. Suzuki; C. Ulrich; N. Uzunlar; C. A. Valladao; W. Vandermeer; D. Vardiman; V. R. Vermeul; J. L. Wagoner; H. F. Wang; J. Weers; J. White; M. D. White; P. Winterfeld; Y. S. Wu; Y. Wu; Y. Zhang; Y. Q. Zhang; J. Zhou; Q. Zhou; M. D. Zoback

Numerical modeling of seismic and displacement-based monitoring for the EGS Collab project

Lianjie Huang, Yu Chen, Kai Gao, Pengcheng Fu, Joseph Morris, Jonathan Ajo-Franklin, Seiji Nakagawa, J. Ajo-Franklin, S. J. Bauer, T. Baumgartner, D. Blankenship, A. Bonneville, L. Boyd, S. T. Brown, J. A. Burghardt, S. A. Carroll, T. Chen, C. Condon, P. J. Cook, P. F. DobsonT. Doe, C. A. Doughty, D. Elsworth, L. P. Frash, Z. Frone, P. Fu, A. Ghassemi, H. Gudmundsdottir, Y. Guglielmi, G. Guthrie, B. Haimson, J. Heise, C. G. Herrick, M. Horn, R. N. Horne, M. Hu, H. Huang, L. Huang, T. C. Johnson, B. Johnston, S. Karra, K. Kim, D. K. King, T. Kneafsey, H. Knox, D. Kumar, M. Lee, K. Li, M. Maceira, N. Makedonska, C. Marone, E. Mattson, M. W. McClure, J. McLennan, T. McLing, R. J. Mellors, E. Metcalfe, J. Miskimins, J. P. Morris, S. Nakagawa, G. Neupane, G. Newman, A. Nieto, C. M. Oldenburg, R. Pawar, P. Petrov, B. Pietzyk, R. Podgorney, Y. Polsky, S. Porse, B. Roggenthen, J. Rutqvist, H. Santos-Villalobos, P. Schwering, V. Sesetty, A. Singh, M. M. Smith, N. Snyder, H. Sone, E. L. Sonnenthal, N. Spycher, C. E. Strickland, J. Su, A. Suzuki, C. Ulrich, N. Uzunlar, C. A. Valladao, W. Vandermeer, D. Vardiman, V. R. Vermeul, J. L. Wagoner, H. F. Wang, J. Weers, J. White, M. D. White, P. Winterfeld, Y. S. Wu, Y. Wu, Y. Zhang, Y. Q. Zhang, J. Zhou, Q. Zhou, M. D. Zoback

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution

6 Scopus citations

Abstract

Reliable monitoring of fractures created during water/fluid injection in enhanced geothermal systems (EGS) is crucial for understanding the efficacy of the fracturing process. The EGS Collab project is a new research effort initiated by the US DOE Geothermal Technologies Office (GTO) to study the rock mass response to simulation. We conduct numerical modeling of active and passive seismic monitoring and alternative displacement-type measurement for monitoring hydraulic fracturing growth at the EGS Collab experiment site. We perform elastic-wave sensitivity propagation to provide the best locations to place geophones to record most significant information reflected/transmitted/scattered from the fracture plane. Our numerical results show that the optimal locations to record significant seismic signals from the fracture plane are within an anisotropic spatial region. For cost-effective passive seismic monitoring, we study the relationships between standard deviation errors of micro-earthquake locations and geophone distributions within multiple monitoring wells. Our results show that only two geophones per well are required for reliable event location, and that the combination of parallel and perpendicular wells does not help with MEQ event location. We conduct finite-element modeling to study the feasibility of using alternative displacement-type measurement to monitor hydraulic fracturing growth at the EGS Collab experiment site. Our numerical modeling results can help determine the geophysical monitoring strategy during the EGS Collab experiments.

Original language	English (US)
Title of host publication	Geothermal Energy
Subtitle of host publication	Power To Do More - Geothermal Resources Council 2017 Annual Meeting, GRC 2017
Publisher	Geothermal Resources Council
Pages	893-909
Number of pages	17
ISBN (Electronic)	0934412227
State	Published - 2017
Event	Geothermal Resources Council 41st Annual Meeting - Geothermal Energy: Power To Do More, GRC 2017 - Salt Lake City, United States Duration: Oct 1 2017 → Oct 4 2017

Publication series

Name	Transactions - Geothermal Resources Council
Volume	41
ISSN (Print)	0193-5933

Other

Other	Geothermal Resources Council 41st Annual Meeting - Geothermal Energy: Power To Do More, GRC 2017
Country/Territory	United States
City	Salt Lake City
Period	10/1/17 → 10/4/17

All Science Journal Classification (ASJC) codes

Renewable Energy, Sustainability and the Environment
Energy Engineering and Power Technology
Geophysics

Cite this

Huang, L., Chen, Y., Gao, K., Fu, P., Morris, J., Ajo-Franklin, J., Nakagawa, S., Ajo-Franklin, J., Bauer, S. J., Baumgartner, T., Blankenship, D., Bonneville, A., Boyd, L., Brown, S. T., Burghardt, J. A., Carroll, S. A., Chen, T., Condon, C., Cook, P. J., ... Zoback, M. D. (2017). Numerical modeling of seismic and displacement-based monitoring for the EGS Collab project. In Geothermal Energy: Power To Do More - Geothermal Resources Council 2017 Annual Meeting, GRC 2017 (pp. 893-909). (Transactions - Geothermal Resources Council; Vol. 41). Geothermal Resources Council.

@inproceedings{b7f47a571f064b1dbb0a9e6c911c4dac,

title = "Numerical modeling of seismic and displacement-based monitoring for the EGS Collab project",

abstract = "Reliable monitoring of fractures created during water/fluid injection in enhanced geothermal systems (EGS) is crucial for understanding the efficacy of the fracturing process. The EGS Collab project is a new research effort initiated by the US DOE Geothermal Technologies Office (GTO) to study the rock mass response to simulation. We conduct numerical modeling of active and passive seismic monitoring and alternative displacement-type measurement for monitoring hydraulic fracturing growth at the EGS Collab experiment site. We perform elastic-wave sensitivity propagation to provide the best locations to place geophones to record most significant information reflected/transmitted/scattered from the fracture plane. Our numerical results show that the optimal locations to record significant seismic signals from the fracture plane are within an anisotropic spatial region. For cost-effective passive seismic monitoring, we study the relationships between standard deviation errors of micro-earthquake locations and geophone distributions within multiple monitoring wells. Our results show that only two geophones per well are required for reliable event location, and that the combination of parallel and perpendicular wells does not help with MEQ event location. We conduct finite-element modeling to study the feasibility of using alternative displacement-type measurement to monitor hydraulic fracturing growth at the EGS Collab experiment site. Our numerical modeling results can help determine the geophysical monitoring strategy during the EGS Collab experiments.",

author = "Lianjie Huang and Yu Chen and Kai Gao and Pengcheng Fu and Joseph Morris and Jonathan Ajo-Franklin and Seiji Nakagawa and J. Ajo-Franklin and Bauer, {S. J.} and T. Baumgartner and D. Blankenship and A. Bonneville and L. Boyd and Brown, {S. T.} and Burghardt, {J. A.} and Carroll, {S. A.} and T. Chen and C. Condon and Cook, {P. J.} and Dobson, {P. F.} and T. Doe and Doughty, {C. A.} and D. Elsworth and Frash, {L. P.} and Z. Frone and P. Fu and A. Ghassemi and H. Gudmundsdottir and Y. Guglielmi and G. Guthrie and B. Haimson and J. Heise and Herrick, {C. G.} and M. Horn and Horne, {R. N.} and M. Hu and H. Huang and L. Huang and Johnson, {T. C.} and B. Johnston and S. Karra and K. Kim and King, {D. K.} and T. Kneafsey and H. Knox and D. Kumar and M. Lee and K. Li and M. Maceira and N. Makedonska and C. Marone and E. Mattson and McClure, {M. W.} and J. McLennan and T. McLing and Mellors, {R. J.} and E. Metcalfe and J. Miskimins and Morris, {J. P.} and S. Nakagawa and G. Neupane and G. Newman and A. Nieto and Oldenburg, {C. M.} and R. Pawar and P. Petrov and B. Pietzyk and R. Podgorney and Y. Polsky and S. Porse and B. Roggenthen and J. Rutqvist and H. Santos-Villalobos and P. Schwering and V. Sesetty and A. Singh and Smith, {M. M.} and N. Snyder and H. Sone and Sonnenthal, {E. L.} and N. Spycher and Strickland, {C. E.} and J. Su and A. Suzuki and C. Ulrich and N. Uzunlar and Valladao, {C. A.} and W. Vandermeer and D. Vardiman and Vermeul, {V. R.} and Wagoner, {J. L.} and Wang, {H. F.} and J. Weers and J. White and White, {M. D.} and P. Winterfeld and Wu, {Y. S.} and Y. Wu and Y. Zhang and Zhang, {Y. Q.} and J. Zhou and Q. Zhou and Zoback, {M. D.}",

note = "Funding Information: This project is supported by the U.S. Department of Energy, Office of Energy Efficiency and Renewable Energy (EERE), Geothermal Technologies Office (GTO) through contract No. DE-AC52-06NA25396 to Los Alamos National Laboratory (LANL), contract No. DEAC02-05CH11231 to Lawrence Berkeley National Laboratory, and contract No. DE-AC52-07NA27344 to Lawrence Livermore National Laboratory. The computation was performed using super-computers of LANL's Institutional Computing Program as well as facilities of LLNL{\textquoteright}s Livermore Computing Center. Funding Information: This project is supported by the U.S. Department of Energy, Office of Energy Efficiency and Renewable Energy (EERE), Geothermal Technologies Office (GTO) through contract No. DE-AC52-06NA25396 to Los Alamos National Laboratory (LANL), contract No. DEAC02-05CH11231 to Lawrence Berkeley National Laboratory, and contract No. DE-AC52-07NA27344 to Lawrence Livermore National Laboratory. The computation was performed using super-computers of LANL's Institutional Computing Program as well as facilities of LLNL's Livermore Computing Center.; Geothermal Resources Council 41st Annual Meeting - Geothermal Energy: Power To Do More, GRC 2017 ; Conference date: 01-10-2017 Through 04-10-2017",

year = "2017",

language = "English (US)",

series = "Transactions - Geothermal Resources Council",

publisher = "Geothermal Resources Council",

pages = "893--909",

booktitle = "Geothermal Energy",

address = "United States",

}

Huang, L, Chen, Y, Gao, K, Fu, P, Morris, J, Ajo-Franklin, J, Nakagawa, S, Ajo-Franklin, J, Bauer, SJ, Baumgartner, T, Blankenship, D, Bonneville, A, Boyd, L, Brown, ST, Burghardt, JA, Carroll, SA, Chen, T, Condon, C, Cook, PJ, Dobson, PF, Doe, T, Doughty, CA, Elsworth, D, Frash, LP, Frone, Z, Fu, P, Ghassemi, A, Gudmundsdottir, H, Guglielmi, Y, Guthrie, G, Haimson, B, Heise, J, Herrick, CG, Horn, M, Horne, RN, Hu, M, Huang, H, Huang, L, Johnson, TC, Johnston, B, Karra, S, Kim, K, King, DK, Kneafsey, T, Knox, H, Kumar, D, Lee, M, Li, K, Maceira, M, Makedonska, N, Marone, C, Mattson, E, McClure, MW, McLennan, J, McLing, T, Mellors, RJ, Metcalfe, E, Miskimins, J, Morris, JP, Nakagawa, S, Neupane, G, Newman, G, Nieto, A, Oldenburg, CM, Pawar, R, Petrov, P, Pietzyk, B, Podgorney, R, Polsky, Y, Porse, S, Roggenthen, B, Rutqvist, J, Santos-Villalobos, H, Schwering, P, Sesetty, V, Singh, A, Smith, MM, Snyder, N, Sone, H, Sonnenthal, EL, Spycher, N, Strickland, CE, Su, J, Suzuki, A, Ulrich, C, Uzunlar, N, Valladao, CA, Vandermeer, W, Vardiman, D, Vermeul, VR, Wagoner, JL, Wang, HF, Weers, J, White, J, White, MD, Winterfeld, P, Wu, YS, Wu, Y, Zhang, Y, Zhang, YQ, Zhou, J, Zhou, Q & Zoback, MD 2017, Numerical modeling of seismic and displacement-based monitoring for the EGS Collab project. in Geothermal Energy: Power To Do More - Geothermal Resources Council 2017 Annual Meeting, GRC 2017. Transactions - Geothermal Resources Council, vol. 41, Geothermal Resources Council, pp. 893-909, Geothermal Resources Council 41st Annual Meeting - Geothermal Energy: Power To Do More, GRC 2017, Salt Lake City, United States, 10/1/17.

Numerical modeling of seismic and displacement-based monitoring for the EGS Collab project. / Huang, Lianjie; Chen, Yu; Gao, Kai et al.
Geothermal Energy: Power To Do More - Geothermal Resources Council 2017 Annual Meeting, GRC 2017. Geothermal Resources Council, 2017. p. 893-909 (Transactions - Geothermal Resources Council; Vol. 41).

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution

TY - GEN

T1 - Numerical modeling of seismic and displacement-based monitoring for the EGS Collab project

AU - Huang, Lianjie

AU - Chen, Yu

AU - Gao, Kai

AU - Fu, Pengcheng

AU - Morris, Joseph

AU - Ajo-Franklin, Jonathan

AU - Nakagawa, Seiji

AU - Ajo-Franklin, J.

AU - Bauer, S. J.

AU - Baumgartner, T.

AU - Blankenship, D.

AU - Bonneville, A.

AU - Boyd, L.

AU - Brown, S. T.

AU - Burghardt, J. A.

AU - Carroll, S. A.

AU - Chen, T.

AU - Condon, C.

AU - Cook, P. J.

AU - Dobson, P. F.

AU - Doe, T.

AU - Doughty, C. A.

AU - Elsworth, D.

AU - Frash, L. P.

AU - Frone, Z.

AU - Fu, P.

AU - Ghassemi, A.

AU - Gudmundsdottir, H.

AU - Guglielmi, Y.

AU - Guthrie, G.

AU - Haimson, B.

AU - Heise, J.

AU - Herrick, C. G.

AU - Horn, M.

AU - Horne, R. N.

AU - Hu, M.

AU - Huang, H.

AU - Huang, L.

AU - Johnson, T. C.

AU - Johnston, B.

AU - Karra, S.

AU - Kim, K.

AU - King, D. K.

AU - Kneafsey, T.

AU - Knox, H.

AU - Kumar, D.

AU - Lee, M.

AU - Li, K.

AU - Maceira, M.

AU - Makedonska, N.

AU - Marone, C.

AU - Mattson, E.

AU - McClure, M. W.

AU - McLennan, J.

AU - McLing, T.

AU - Mellors, R. J.

AU - Metcalfe, E.

AU - Miskimins, J.

AU - Morris, J. P.

AU - Nakagawa, S.

AU - Neupane, G.

AU - Newman, G.

AU - Nieto, A.

AU - Oldenburg, C. M.

AU - Pawar, R.

AU - Petrov, P.

AU - Pietzyk, B.

AU - Podgorney, R.

AU - Polsky, Y.

AU - Porse, S.

AU - Roggenthen, B.

AU - Rutqvist, J.

AU - Santos-Villalobos, H.

AU - Schwering, P.

AU - Sesetty, V.

AU - Singh, A.

AU - Smith, M. M.

AU - Snyder, N.

AU - Sone, H.

AU - Sonnenthal, E. L.

AU - Spycher, N.

AU - Strickland, C. E.

AU - Su, J.

AU - Suzuki, A.

AU - Ulrich, C.

AU - Uzunlar, N.

AU - Valladao, C. A.

AU - Vandermeer, W.

AU - Vardiman, D.

AU - Vermeul, V. R.

AU - Wagoner, J. L.

AU - Wang, H. F.

AU - Weers, J.

AU - White, J.

AU - White, M. D.

AU - Winterfeld, P.

AU - Wu, Y. S.

AU - Wu, Y.

AU - Zhang, Y.

AU - Zhang, Y. Q.

AU - Zhou, J.

AU - Zhou, Q.

AU - Zoback, M. D.

N1 - Funding Information: This project is supported by the U.S. Department of Energy, Office of Energy Efficiency and Renewable Energy (EERE), Geothermal Technologies Office (GTO) through contract No. DE-AC52-06NA25396 to Los Alamos National Laboratory (LANL), contract No. DEAC02-05CH11231 to Lawrence Berkeley National Laboratory, and contract No. DE-AC52-07NA27344 to Lawrence Livermore National Laboratory. The computation was performed using super-computers of LANL's Institutional Computing Program as well as facilities of LLNL’s Livermore Computing Center. Funding Information: This project is supported by the U.S. Department of Energy, Office of Energy Efficiency and Renewable Energy (EERE), Geothermal Technologies Office (GTO) through contract No. DE-AC52-06NA25396 to Los Alamos National Laboratory (LANL), contract No. DEAC02-05CH11231 to Lawrence Berkeley National Laboratory, and contract No. DE-AC52-07NA27344 to Lawrence Livermore National Laboratory. The computation was performed using super-computers of LANL's Institutional Computing Program as well as facilities of LLNL's Livermore Computing Center.

PY - 2017

Y1 - 2017

N2 - Reliable monitoring of fractures created during water/fluid injection in enhanced geothermal systems (EGS) is crucial for understanding the efficacy of the fracturing process. The EGS Collab project is a new research effort initiated by the US DOE Geothermal Technologies Office (GTO) to study the rock mass response to simulation. We conduct numerical modeling of active and passive seismic monitoring and alternative displacement-type measurement for monitoring hydraulic fracturing growth at the EGS Collab experiment site. We perform elastic-wave sensitivity propagation to provide the best locations to place geophones to record most significant information reflected/transmitted/scattered from the fracture plane. Our numerical results show that the optimal locations to record significant seismic signals from the fracture plane are within an anisotropic spatial region. For cost-effective passive seismic monitoring, we study the relationships between standard deviation errors of micro-earthquake locations and geophone distributions within multiple monitoring wells. Our results show that only two geophones per well are required for reliable event location, and that the combination of parallel and perpendicular wells does not help with MEQ event location. We conduct finite-element modeling to study the feasibility of using alternative displacement-type measurement to monitor hydraulic fracturing growth at the EGS Collab experiment site. Our numerical modeling results can help determine the geophysical monitoring strategy during the EGS Collab experiments.

AB - Reliable monitoring of fractures created during water/fluid injection in enhanced geothermal systems (EGS) is crucial for understanding the efficacy of the fracturing process. The EGS Collab project is a new research effort initiated by the US DOE Geothermal Technologies Office (GTO) to study the rock mass response to simulation. We conduct numerical modeling of active and passive seismic monitoring and alternative displacement-type measurement for monitoring hydraulic fracturing growth at the EGS Collab experiment site. We perform elastic-wave sensitivity propagation to provide the best locations to place geophones to record most significant information reflected/transmitted/scattered from the fracture plane. Our numerical results show that the optimal locations to record significant seismic signals from the fracture plane are within an anisotropic spatial region. For cost-effective passive seismic monitoring, we study the relationships between standard deviation errors of micro-earthquake locations and geophone distributions within multiple monitoring wells. Our results show that only two geophones per well are required for reliable event location, and that the combination of parallel and perpendicular wells does not help with MEQ event location. We conduct finite-element modeling to study the feasibility of using alternative displacement-type measurement to monitor hydraulic fracturing growth at the EGS Collab experiment site. Our numerical modeling results can help determine the geophysical monitoring strategy during the EGS Collab experiments.

UR - http://www.scopus.com/inward/record.url?scp=85044656402&partnerID=8YFLogxK

UR - http://www.scopus.com/inward/citedby.url?scp=85044656402&partnerID=8YFLogxK

M3 - Conference contribution

AN - SCOPUS:85044656402

T3 - Transactions - Geothermal Resources Council

SP - 893

EP - 909

BT - Geothermal Energy

PB - Geothermal Resources Council

T2 - Geothermal Resources Council 41st Annual Meeting - Geothermal Energy: Power To Do More, GRC 2017

Y2 - 1 October 2017 through 4 October 2017

ER -

Numerical modeling of seismic and displacement-based monitoring for the EGS Collab project

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