Fast focusing iterative migration of magnetic anomalies

Rezaie, Mohammad

doi:10.1007/s11600-021-00587-5

Artykuł - szczegóły

Tytuł artykułu

Fast focusing iterative migration of magnetic anomalies

Autorzy

Rezaie Mohammad

Wybrane pełne teksty z tego czasopisma

https://www.springer.com/journal/11600

Identyfikatory

DOI

10.1007/s11600-021-00587-5

Warianty tytułu

Języki publikacji

Abstrakty

Magnetic anomalies are interpreted for subsurface geological information. Three-dimensional inversion of magnetic data is a challenging quantitative approach for interpreting the data. The rapid iterative migration technique could be a good and fast alternative for the inversion method. The focusing iterative migration that employs a focusing stabilizer can generate focused migration models which justify geological interfaces, adequately. This paper introduces a new algorithm using a relaxed steepest descent method and a sigmoid stabilizer for fast focusing migration of magnetic felds. The developed method can improve the computational efciency of focusing iterative migration by reducing the required iterations. The better performance of the new method is demonstrated by two numerical models and a real case study. The magnetic anomaly over San Nicolas massive sulfde deposit in Mexico is used for the case study. Compared with the drilling information, the iterative migration methods produce robust migration models for the San Nicolas deposit.

Słowa kluczowe

magnetic anomalies migration focusing imaging San Nicolas

anomalie magnetyczne migracja skupienie obrazowanie San Nicolas

Wydawca

Instytut Geofizyki PAN
Springer

Czasopismo

Acta Geophysica

Rocznik

2021

Tom

Vol. 69, no. 4

Strony

1215--1224

Opis fizyczny

Bibliogr. 33 poz.

Twórcy

autor

Rezaie Mohammad

mohamad1rezaie@gmail.com

College of Engineering, Malayer University, Malayer, Iran

https://orcid.org/0000-0002-2685-3939

Bibliografia

1. Abedi M, Gholami A, Norouzi GH, Fathianpour N (2013) Fast inversion of magnetic data using Lanczos bidiagonalization method. J Appl Geophys 90:126–137
2. Baniamerian J, Fedi M, Oskooi B (2016) Research note: compact depth from extreme points: a tool for fast potential field imaging. Geophys Prospect 64:1386–1398
3. Chianese D, Lapenna V (2007) Magnetic probability tomography for environmental purposes: test measurements and field applications. J Geophys Eng 4:63–74
4. Ding Y, Ma G, Xiong S, Wang H (2020) Three-dimensional regularized focusing migration: a case study from the Yucheng Mining area, Shandong, China. Miner 10:471
5. Farquharson CG (2008) Constructing piecewise-constant models in multidimensional minimum-structure inversions. Geophysics 73:K1–K9
6. Fedi M (2007) DEXP: A fast method to determine the depth and the structural index of potential fields sources. Geophysics 72:I1–I11
7. Fedi M, Pilkington M (2012) Understanding imaging methods for potential field data. Geophysics 77:G13–G24
8. Foks NL, Krahenbuhl R, Li Y (2014) Adaptive sampling of potential-field data: a direct approach to compressive inversion adaptive sampling and compressive inversion. Geophysics 79:IM1–IM9
9. Hornby P, Boschetti F, Horowitz FG (1999) Analysis of potential field data in the wavelet domain. Geophys J Int 137:175–196
10. Li Y, Oldenburg DW (1996) 3-D inversion of magnetic data. Geophysics 61:394–408
11. Li Y, Oldenburg DW (1998) 3-D inversion of gravity data. Geophysics 63:109–119
12. Liu CS (2013) An optimally generalized steepest-descent algorithm for solving ill-posed linear systems. J Appl Math 2013:154358
13. Liu S, Baniamerian J, Fedi M (2019) Imaging methods versus inverse methods: an option or an alternative? IEEE Trans Geosci Remote Sens 58:3484–3494
14. Luo Y, Yao L (2007) Theoretical study on cuboid magnetic field and gradient expression without singular point. Oil Geophys Prospect 42:714–719
15. Mauriello P, Patella D (2001) Gravity probability tomography: a new tool for buried mass distribution imaging. Geophys Prospect 49:1–12
16. Mehanee SA, Zhdanov MS (2002) 3-D finite difference iterative migration of the electromagnetic field. In: SEG Technical Program Expanded Abstracts 2002, Society of Exploration Geophysicists, pp 657–660
17. Meng Z, Li W, Li F, Li H (2020) Projected Barzilai-Borwein method for the acceleration of gravity field data inversion. Explor Geophys. https://doi.org/10.1080/08123985.2020.1814140
18. Pedersen LB (1991) Relations between potential fields and some equivalent sources. Geophysics 56:961–971
19. Phillips N, Oldenburg D, Chen J, Li Y, Routh P (2001) Cost effectiveness of geophysical inversions in mineral exploration: applications at San Nicolas. Lead Edge 20:1351–1360
20. Pilkington M (2009) 3D magnetic data-space inversion with sparseness constraints. Geophysics 74:L7–L15
21. Portniaguine O, Zhdanov MS (1999) Focusing geophysical inversion images. Geophysics 64:874–887
22. Portniaguine O, Zhdanov MS (2002) 3-D magnetic inversion with data compression and image focusing. Geophysics 67:1532–1541
23. Rezaie M (2019) 3D non-smooth inversion of gravity data by zero order minimum entropy stabilizing functional. Phys Earth Planet In 294:106275
24. Rezaie M (2020) A sigmoid stabilizing function for fast sparse 3D inversion of magnetic data. Near Surf Geophys 18:149–159
25. Rezaie M, Moradzadeh A, Kalate AN, Aghajani H (2017) Fast 3D focusing inversion of gravity data using reweighted regularized Lanczos bidiagonalization method. Pure Appl Geophys 174:359–374
26. Tu X, Zhdanov MS (2020) Enhancement and sharpening the migration images of the gravity field and its gradients. Pure Appl Geophys 177:2853–2870
27. Ueda T, Zhdanov MS (2008) Fast numerical methods for marine controlled-source electromagnetic (EM) survey data based on multigrid quasi-linear approximation and iterative EM migration. Explor Geophys 39:60–67
28. Vassallo LF, Aranda-Gómez JJ, Solorio-Munguía JG (2015) Hydrothermal alteration of volcanic rocks hosting the Late Jurassic-Early Cretaceous San Nicolás VMS deposit, southern Zacatecas. Mexico Rev Mex Cienc Geo 32:254–272
29. Wan L, Zhdanov MS (2013) Iterative migration of gravity and gravity gradiometry data. In SEG technical program expanded abstracts 2013. Society of Exploration Geophysicists, pp 1211–1215. https://doi.org/10.1190/segam2013-1036.1
30. Xu Z, Wan L, Zhdanov MS (2020) Focusing iterative migration of gravity gradiometry data acquired in the Nordkapp Basin, Barents Sea. Geophys Prospect 68:2292–2306
31. Zhdanov MS (2002) Geophysical inverse theory and regularization problems. Elsevier
32. Zhdanov MS (2015) Inverse theory and applications in geophysics. Elsevier
33. Zhdanov MS, Liu X, Wilson GA, Wan L (2012) 3D migration for rapid imaging of total-magnetic-intensity data. Geophysics 77:J1–J5

Typ dokumentu

Bibliografia

Identyfikator YADDA

bwmeta1.element.baztech-f8c3e874-a308-4c68-94ea-79d970c5ae75