Journal Article

FZJ-2022-03118

http://join2-wiki.gsi.de/foswiki/pub/Main/Artwork/join2_logo100x88.png Exploration of a Copper Ore Deposit in Elbistan/Turkey Using 2D Inversion of the Time-Domain Induced Polarization Data by Using Unstructured Mesh

Adrian, J. (Corresponding author)FZJ* ; Tezkan, B. ; Candansayar, M. E.

2022
Birkhäuser Basel

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Please use a persistent id in citations: http://hdl.handle.net/2128/31732  doi:10.1007/s00024-022-03071-3

Abstract: We present the results of a direct current (DC)resistivity and time-domain induced polarization (TDIP) surveyexploring a copper ore deposit in Elbistan/Turkey. The ore depositis elongated below a valley and is of disseminated form with sulfidecontent. DC and IP data were acquired using the pole-dipole arrayon eight parallel profiles crossing the valley perpendicularly. Thelength of each profile was 300 m with an inter-profile distance ofabout 50 m. The data were interpreted by a newly developed 2DDC/TDIP inversion algorithm. The finite element algorithm uses alocal smoothness constrained regularization on unstructuredmeshes. The finite element forward solution, as well as the inverseproblem, is solved by an iterative preconditioned conjugate solver.The depth of investigation (DOI) was determined from cumulativesensitivities of the 2D inversion algorithm results. Because of thedissemination of the ore, the 2D inversion of the DC data wasambiguous: However, due to the sulfide content, a strong chargeabilityanomaly associated with the ore body was detected. Weshow that chargeability anomalies can generally be detected in theabsence or presence of corresponding resistivity anomalies. Thishighly chargeable structure was confined in lateral direction.Although the lower boundary of the structure could not be resolvedby the applied field set-up, a rough estimation of it could be derivedat a depth of 90 m using synthetic modeling analyses. The 2Dchargeability models are consistent with existing boreholeinformation.

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Contributing Institute(s):

1. Zivile Sicherheitsforschung (IAS-7)

Research Program(s):

1. 5111 - Domain-Specific Simulation & Data Life Cycle Labs (SDLs) and Research Groups (POF4-511) (POF4-511)

Appears in the scientific report 2022

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Database coverage:
; ; ; Clarivate Analytics Master Journal List ; Current Contents - Physical, Chemical and Earth Sciences ; DEAL Springer ; Ebsco Academic Search ; Essential Science Indicators ; IF < 5 ; JCR ; SCOPUS ; Science Citation Index Expanded ; Web of Science Core Collection

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