To ensure the transverse continuity of the inversion results of central loop transient electromagnetic (TEM) data, it is practical to combine multiple survey points into a whole by applying transverse constraints and to establish correlations between adjacent survey points. This study employed the constraints of weighted transverse and vertical roughness to improve the correlations between adjacent survey points and thus to improve the inversion accuracy. Furthermore, this study introduced the adaptive regularization factor, which was obtained adaptively by calculating the norms of the data and the model objective functions in each iteration. In this manner, the dependence on the initial model can be reduced. Finally, using the algorithm developed, this study conducted the inversion of the measured data and data from three-dimensional forward modeling based on the unstructured time-domain finite element method. The inversion results are consistent with the actual results, indicating that the proposed algorithm in this study can enhance the continuity of the inversion results and has a high anti-noise ability.
Di Q Y, Zhu R X, Xue G Q, et al. New development of the electromagnetic (EM) methods for deep exploration[J]. Chinese Journal of Geophysics, 2019, 62(6):2128-2138.
Dai R, Zhang D, Ji H. Analysis of large loop transient electromagnetic method inversion effect[J]. Nonferrous Metals:Mining, 2017, 69(3):1-4.
[13]
Constable S C, Parker R L, Constable C G. Occam's inversion:A practical algorithm for generating smoothmodels from electromagnetic sounding data[J]. Geophysics, 1987, 52(3):289-300.
doi: 10.1190/1.1442303
Chen X B, Zhao G Z, Tang J, et al. An adaptive regularized inversion algorithm for magnetotelluric data[J]. Chinese Journal of Geophysics, 2005, 48(4):937-946.
Xu Y C, Zhao N, Qin C, et al. One-dimensional adaptive regularization inversion of transient electromagnetic sounding with a large fixed source[J]. Geology and Exploration, 2015, 51(2):360-365.
Yao W H. The one-dimensional adaptive inversion method for large loop source TEM and its application[J]. Geophysical and Geochemical, 2019, 43(3):584-588.
Li G, Pan H P, Wang Z, et al. One-dimensional inversion for loop source transient electromagnetic method[J]. Coal Geology and Exploration, 2017, 45(5):161-166,172.
[19]
Auken E, Thomsen K, Sorensen. Lateral constrained inversion (lci) of profile oriented data-the resistivity case[C]// 6th Eage/EEGS Meeting, 2000.
[34]
Mao L F, Wang X B, Li W J. Research on 1D inversion method of fixed-wing airborne transient electromagnetic record with flight altitude inversion simultaneously[J]. Chinese Journal of Geophysics, 2011, 54(8):2136-2147.
[20]
Auken E, Christiansen A V. Layered and laterally constrained 2D inversion of resistivity data[J]. Geophysics, 2004, 69(3):752-761.
doi: 10.1190/1.1759461
[21]
Christiansen A, Auken E. Optimizing a layered and laterally constrained 2D inversion of resistivity data using Broyden's update and 1D derivatives[J]. Journal of Applied Geophysics, 2004, 56(4):247-261.
doi: 10.1016/S0926-9851(04)00055-2
[22]
Auken E, Christiansen A V, Bo H J, et al. Piece wise 1D laterally constrained inversion of resistivity data[J]. Geophysical Prospecting, 2005, 53(4):497-506.
doi: 10.1111/gpr.2005.53.issue-4
[23]
Auken E, Christiansen A V, Jacobsen L H, et al. A resolution study of buried valleys using laterally constrained inversion of TEM data[J]. Journal of Applied Geophysics, 2008, 65(1):10-20.
doi: 10.1016/j.jappgeo.2008.03.003
Cai J, Qi Y F, Yin C H. Weighted Laterally-constrained inversion of frequency-domain airborne EM data[J]. Chinese Journal of Geophysics, 2014, 57(1) :953-960.
Yin C H, Qiu C K, Liu Y H, et al. Weighted laterally-constrained inversion of time-domain airborne electromagnetic data[J]. Journal of Jilin University:Earth Science Edition, 2016, 46(1):254-261.
Lin X Y, Lu C D, Zhong B H, et al. An invernsion scheme with lateral segmented-com-bined constraints for time domain airborne electro-magnetic data[J]. Oil Geophysical Prospecting, 2019, 54(6):1376-1382.
Chen W Y, Li H, Xue G Q, et al. 1D OCCAM inversion of SOTEM data and its application to 3D models[J]. Chinese Journal of Geophysics, 2017, 60(9):3667-3676.
[32]
Colin G F, Douglas W O. Non-linear inversion using general measures of data misfit and model structure[J]. Geophysical Journal International, 1998, 134(1):213-227.
doi: 10.1046/j.1365-246x.1998.00555.x
Qi Y F, Zhi Q Q, Li X, et al. Three dimensional ground TEM inversion over a topographic earth considering ramp time[J]. Chinese Journal of Geophysics, 2021, 64(7):2566-2577.