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Hosseini, Mojtaba, Abedi, Maysam, Mirmohammadi, MirSaleh, Ghezelbash, Reza, Sadraeifar, Bardiya. (1405). Sparsity-based Regularization of Geophysical Time-domain Electrical Resistivity and Induced Polarization Data: A Strategy for Imaging Takhte-Gonbad Porphyry Cu Deposit. , (), -. doi: 10.22059/geope.2026.406213.648850
Mojtaba Hosseini; Maysam Abedi; MirSaleh Mirmohammadi; Reza Ghezelbash; Bardiya Sadraeifar. "Sparsity-based Regularization of Geophysical Time-domain Electrical Resistivity and Induced Polarization Data: A Strategy for Imaging Takhte-Gonbad Porphyry Cu Deposit". , , , 1405, -. doi: 10.22059/geope.2026.406213.648850
Hosseini, Mojtaba, Abedi, Maysam, Mirmohammadi, MirSaleh, Ghezelbash, Reza, Sadraeifar, Bardiya. (1405). 'Sparsity-based Regularization of Geophysical Time-domain Electrical Resistivity and Induced Polarization Data: A Strategy for Imaging Takhte-Gonbad Porphyry Cu Deposit', , (), pp. -. doi: 10.22059/geope.2026.406213.648850
Hosseini, Mojtaba, Abedi, Maysam, Mirmohammadi, MirSaleh, Ghezelbash, Reza, Sadraeifar, Bardiya. Sparsity-based Regularization of Geophysical Time-domain Electrical Resistivity and Induced Polarization Data: A Strategy for Imaging Takhte-Gonbad Porphyry Cu Deposit. , 1405; (): -. doi: 10.22059/geope.2026.406213.648850

Sparsity-based Regularization of Geophysical Time-domain Electrical Resistivity and Induced Polarization Data: A Strategy for Imaging Takhte-Gonbad Porphyry Cu Deposit

Geopersia
مقالات آماده انتشار، پذیرفته شده، انتشار آنلاین از تاریخ 14 خرداد 1405
نوع مقاله: Research Paper
شناسه دیجیتال (DOI): 10.22059/geope.2026.406213.648850
نویسندگان
Mojtaba Hosseini1؛ Maysam Abedi* 1؛ MirSaleh Mirmohammadi1؛ Reza Ghezelbash1؛ Bardiya Sadraeifar2
1School of Mining Engineering, College of Engineering, University of Tehran, Tehran, Iran
2Institute of Geophysics, University of Tehran, Tehran, Iran
چکیده
This research employs a combined geophysical approach, utilizing electrical resistivity tomography (ERT) and induced polarization (IP) imaging, to characterize the subsurface architecture and identify copper-bearing zones at the Takhte-Gonbad porphyry copper deposit within the Kerman metallogenic belt, Iran. The acquired field data were inverted using two distinct methodologies: conventional Tikhonov regularization and sparsity-based regularization. The resulting inverse models successfully delineated two principal E-W trending mineralized zones, which are distinguished by coherent low-resistivity and high-chargeability anomalies diagnostic of disseminated sulfide mineralization. These geophysical signatures exhibit a strong spatial correlation with surface-mapped zones of phyllic and argillic alteration and are further validated by borehole assay data confirming local copper grades exceeding 1%. A comparative assessment of the inversion results indicates that sparsity-based regularization produces subsurface models with sharper lithological boundaries and improved delineation of compact, high-contrast ore bodies, making it particularly effective for resolving localized features at the deposit scale. In contrast, Tikhonov regularization yields smoother models that are better suited for representing broader, regional-scale geological structures. Overall, both inversion approaches are capable of resolving the main subsurface features; however, they emphasize different aspects of the subsurface due to their inherent regularization properties. Accordingly, the choice between them should be guided by the geological objectives rather than interpreted as a general superiority of one method over the other.
کلیدواژه‌ها
Sparsity-based Regularization؛ Tikhonov Regularization؛ Geoelectrical Inversion؛ Takhte-Gonbad Deposit؛ Porphyry Cu
آمار
تعداد مشاهده مقاله: 128





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