AccScience Publishing / JSE / Volume 35 / Issue 4 / DOI: 10.36922/JSE026260113
ARTICLE

Seismic curvature-based estimation of structural stress perturbation in finite-thickness salt layers

Guangtan Huang1 Xilin Shi1* Zhennan Yu1
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1 Institute of Rock and Soil Mechanics, Chinese Academy of Sciences, Wuhan, Hubei, China
JSE 2026, 35(4), 026260113 https://doi.org/10.36922/JSE026260113
Received: 24 June 2026 | Revised: 4 July 2026 | Accepted: 10 July 2026 | Published online: 5 August 2026
© 2026 by the Author(s). This article is an open access article distributed under the terms and conditions of the Creative Commons Attribution 4.0 International License ( https://creativecommons.org/licenses/by/4.0/ )
Abstract

Structural stress perturbation in salt formations is important for salt-cavern site selection, cavern stability, and underground storage safety, but direct stress measurements are usually sparse and numerical geomechanical modeling depends strongly on model parameters and boundary conditions. This study proposes a seismic curvature-based method for estimating local structural stress perturbation in finite-thickness salt layers. The method uses interpreted top and bottom salt-layer horizons to construct the middle surface and thickness field, calculates the maximum and minimum principal curvatures, and introduces Poisson coupling and a thickness-dependent correction factor to build a normalized curvature-derived structural stress index. Synthetic model tests show that the proposed index is controlled not only by curvature anomalies, but also by principal-curvature coupling, salt-layer thickness, and finite-thickness correction. Mechanical validation indicates that the index is spatially consistent with the main stress concentration patterns obtained from theoretical and elastic solutions, while sensitivity analysis shows that the major high-value zones remain relatively stable under parameter variations. Field applications demonstrate that the proposed method can generate continuous stress concentration zoning maps from seismic salt-layer horizons. The method provides a rapid seismic–geometry-constrained tool for identifying potential stress-sensitive zones and supporting salt-cavern site evaluation, cavern layout optimization, monitoring deployment, and subsequent geomechanical modeling.

Keywords
Seismic curvature attribute
Structural stress perturbation
Finite-thickness correction
Stress concentration zoning
Seismic geomechanics
Funding
This work was supported in part by the National Major Science and Technology Projects of China (2024ZD1004300), in part by the National Key R&D Program of China (2024YFB4007100), in part by the National Natural Science Foundation of China (42304133 and 42574175), and in part by a key project from the Hubei Research Center for Basic Disciplines of Earth Sciences (HRCES-202401).
Conflict of interest
Guangtan Huang is an Editorial Board Member of this journal, but was not in any way involved in the editorial and peer-review process conducted for this paper, directly or indirectly. The authors declare that there are no known or potential competing financial and non-financial interests that could influence the work reported in this paper.
References
  1. Li ZM, Zhang JZ. Diyingli yu youqi kantan kaifa [In-situ Stress and Petroleum Exploration and Development]. Beijing, China: Petroleum Industry Press; 1997. [In Chinese]
  2. Zoback MD. Reservoir Geomechanics. Cambridge, UK: Cambridge University Press; 2007. doi: 10.1017/CBO9780511586477
  3. Sayers CM. Geophysics under Stress: Geomechanical Applications of Seismic and Borehole Acoustic Waves. SEG/EAGE Distinguished Instructor Short Course. Tulsa, OK: Society of Exploration Geophysicists; Houten, Netherlands: European Association of Geoscientists and Engineers; 2010.
  4. Ge HK, Lin YS, Wang SC. Diyingli queding jishu jiqi zai shiyou kantan kaifa zhong de yingyong [In-situ stresses determination technique and its applications in petroleum exploration and development]. J Univ Pet China (Ed Nat Sci). 1998;22(1):94-99. [In Chinese]
  5. Thiercelin M, Plumb R. Core-based prediction of lithologic stress contrasts in east Texas formations. SPE Form Eval. 1994;9(4):251-258. doi: 10.2118/21847-PA
  6. Tan CX, Wang LJ, Sun BS, et al. Hanyouqi bendi sanwei gouzao yinglichang shuzhi moni fangfa tantao [An approach to numerical simulation of 3-D tectonic stress field of the oil-gas-bearing basin]. J Geomech. 1997;3(1):80-86. [In Chinese]
  7. Zhang F, He ZH, Huang DJ, et al. Liefeng fayudai yuce de gouzao yinglichang shuzhi moni jishu [Structural stress field numerical simulation technique for fracture zone prediction]. Oil Geophys Prospect. 2000;35(2):154-163. [In Chinese]
  8. Tian Y, Liu X, Li X, Wei M. Gouzao yinglichang sanwei shuzhi moni de youxianyuan fangfa [Finite Element Method of 3-D Numerical Simulation on Tectonic Stress Field]. Earth Sci. 2011;36(2):375-380. [In Chinese] doi: 10.3799/dqkx.2011.041
  9. Zhang SL. Gouzao yinglichang shuzhi moni: youxianyuan lilun, fangfa he yanjiu jinzhan [Modeling of tectonic stress field: the theory, method and related research progress of the finite element method]. Northwest Seismol J. 2010;32(4):405-410. [In Chinese] doi: 10.3969/j.issn.1000-0844.2010.04.017
  10. Gray D, Anderson P, Logel J, et al. Estimation of stress and geomechanical properties using 3D seismic data. First Break. 2012;30(3):59-68. doi: 10.3997/1365-2397.2011042
  11. Mukherjee D, Mallick S, Shafer L, Campbell E. Estimation of in-situ stress fields from P-wave seismic data. In: SEG Technical Program Expanded Abstracts 2012. Tulsa, OK: Society of Exploration Geophysicists; 2012:1-5. doi: 10.1190/segam2012-0375.1
  12. Liu JX, Cui ZW, Wang KX. The relationships between uniaxial stress and reflection coefficients. Geophys J Int. 2009;179(3):1584-1592. doi: 10.1111/j.1365-246X.2009.04353.x
  13. Crampin S. Effective anisotropic elastic constants for wave propagation through cracked solids. Geophys J Int. 1984;76(1):135-145. doi: 10.1111/j.1365-246X.1984.tb05029.x
  14. Liu E, Martinez A. Seismic Fracture Characterization. Houten, Netherlands: EAGE Publications; 2013. doi: 10.3997/9789073834507
  15. Johnson PA, Rasolofosaon PNJ. Nonlinear elasticity and stress-induced anisotropy in rock. J Geophys Res. 1996;101(B2):3113-3124. doi: 10.1029/95jb02880
  16. Rasolofosaon PNJ. Stress-induced seismic anisotropy revisited. Rev Inst Fr Pet. 1998;53(5):679-692. doi: 10.2516/ogst:1998061
  17. Chen FB, Zong Z, Jiang M. Seismic reflectivity and transmissivity parameterization with the effect of normal in-situ stress. Geophys J Int. 2021;226(3):1599-1614. doi: 10.1093/gji/ggab179
  18. Chen FB, Zong Z. PP-wave reflection coefficient in stress-induced anisotropic media and amplitude variation with incident angle and azimuth inversion. 2022;87(6):C155-C172. doi: 10.1190/geo2021-0706.1
  19. Pan XP, Zhao ZZ, Zhang DZ. Characteristics of azimuthal seismic reflection response in horizontal transversely isotropic media under horizontal in situ stress. Surv Geophys. 2023;44(2):387-423. doi: 10.1007/s10712-022-09739-8
  20. Pan XP, Zhao ZZ. A decoupled fracture- and stress-induced PP-wave reflection coefficient approximation for azimuthal seismic inversion in stressed horizontal transversely isotropic media. Surv Geophys. 2024;45(1):151-182. doi: 10.1007/s10712-023-09791-y
  21. Pan XP, Liu JX. Stress-dependent PP-wave reflection coefficient for Fourier-coefficients-based seismic inversion in horizontally stressed vertical transversely isotropic media. Surv Geophys. 2024;45(4):1143-1176. doi: 10.1007/s10712-024-09841-z
  22. Li L, Guo Y, Zhang G, et al. Seismic characterization of in situ stress in orthorhombic shale reservoirs using anisotropic extended elastic impedance inversion. 2022;87(6):M259-M274. doi: 10.1190/geo2021-0807.1
  23. Pan XP, Liu PZ, Wang P, et al. Estimation of in situ stresses from PP-wave azimuthal seismic data in fracture-induced anisotropic media. 2022;87(6):C139-C154. doi: 10.1190/geo2022-0175.1
  24. Huang GT, Wei SY, Yang CH, et al. The in situ stress prediction of a fractured shale reservoir based on amplitude variation with angle and azimuth inversion: A case study from Southwest China. 2024;89(5):B415-B430. doi: 10.1190/geo2023-0393.1
  25. Roberts A. Curvature attributes and their application to 3D interpreted horizons. First Break. 2001;19(2):85-100. doi: 10.1046/j.0263-5046.2001.00142.x
  26. Sigismondi EA, Soldo CJ. Curvature attributes and seismic interpretation: Case studies from Argentina basins. Leading Edge. 2003;22(11):1122-1126. doi: 10.1190/1.1634916
  27. Al-Dossary S, Marfurt KJ. 3D volumetric multispectral estimates of reflector curvature and rotation. 2006;71(5):P41-P51. doi: 10.1190/1.2242449
  28. Gao JH, Yao YX, Yun ZZ. Curvature attribute based on dip scan with eccentric window. In: SEG Technical Program Expanded Abstracts 2014. Tulsa, OK: Society of Exploration Geophysicists; 2014:1614-1618. doi: 10.1190/segam2014-0219.1
  29. Murray GH Jr. Quantitative Fracture Study—Sanish Pool, Mckenzie County, North Dakota. AAPG Bull. 1968;52(1):57-65. doi: 10.1306/5d25c293-16c1-11d7-8645000102c1865d
  30. Price NJ, Cosgrove JW. Analysis of Geological Structures. Cambridge, UK: Cambridge University Press; 1990.
  31. Sheorey PR. A theory for in situ stresses in isotropic and transversely isotropic rock. Int J Rock Mech Min Sci Geomech Abstr. 1994;31(1):23-34. doi: 10.1016/0148-9062(94)92312-4
  32. Zeng JG, Luo YH, Chen TY. Yong gouzao zhuqulv yanjiu chujiceng liefeng de fangfa [A method for the study of reservoir fracturing based on structural principal curvatures]. Acta Mech Sin. 1982;2(2):202-206. [In Chinese] doi: 10.6052/0459-1879-1982-2-1982-023
  33. Li ZY, Zeng ZX, Luo WQ. Liyong zhuqulv yuce liefeng de xin fangfa [A new approach for predicting fractures using principal curvature]. Pet Explor Dev. 2003;30(6):83-85. [In Chinese]
  34. He Y. Gaojingdu qulv fenxi jiqi zai gouzao shibie zhong de yingyong [High Precision Curvature Analysis and Its Application of Structural Identification]. PhD Dissertation. Chengdu, China: Chengdu University of Technology; 2011. [In Chinese]
  35. Hunt L, Reynolds S, Hadley S, et al. Causal fracture prediction: curvature, stress, and geomechanics. Leading Edge. 2011;30(11):1274-1286. doi: 10.1190/1.3663400
  36. Starr J. Modified curvature analysis to quantify strain within the Marcellus shale. In: SEG Technical Program Expanded Abstracts 2014. Tulsa, OK: Society of Exploration Geophysicists; 2014:2373-2376. doi: 10.1190/segam2014-0026.1
  37. Ma N. Diyingli dizhen yuce fangfa ji yingyong yanjiu [Study on Method and Application of Geostress Prediction with Seismic Data]. PhD Dissertation. Qingdao, China: China University of Petroleum (East China); 2018. [In Chinese]
  38. Ma N, Yin XY, Zong ZY, et al. Qu lv shu xing zai di ying li di zhen yu ce zhong de yingyong [The application of curvature attributes to in-situ stress seismic prediction]. Comput Tech Geophys Geochem Explor. 2018;40(2):182-188. [In Chinese] doi: 10.3969/j.issn.1001-1749.2018.02.07
  39. Ma N, Yin XY, Zong ZY, et al. Jiyu qulv shuxing de gouzao yingli dizhen yuce fangfa [Structural stress prediction method based on curvature attributes]. Oil Geophys Prospect. 2020;55(3):643-650. [In Chinese] doi: 10.13810/j.cnki.issn.1000-7210.2020.03.020
  40. Dirkzwager JB, Dooley TP. In-situ stress modeling of a salt-based gravity-driven thrust belt in a passive margins setting using physical and numerical modeling. In: Proceedings of the 42nd U.S. Rock Mechanics Symposium and 2nd U.S.-Canada Rock Mechanics Symposium. San Francisco, CA: American Rock Mechanics Association; 2008:605-610. Paper No. ARMA-08-224.
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Journal of Seismic Exploration, Print ISSN: 0963-0651, Published by AccScience Publishing