Identification of Gold Mineralization Zones Using Magnetic Data at Gunung Gupit Area, Magelang, Central Java

Authors

  • Y Yatini Geophysics Engineering, UPN ‘’Veteran’’ Yogyakarta, Indonesia
  • M Faizal Zakaria Geophysics Engineering, UPN ‘’Veteran’’ Yogyakarta, Indonesia
  • Imam Suyanto Geophysics Department, Universitas Gadjah Mada, Indonesia

DOI:

https://doi.org/10.31098/cset.v1i1.384

Abstract

Indonesia is one of the biggest gold producing countries in the world. the discovery of new gold reserves makes the passion of the gold mining industry increase. The Gunung Gupit area of Magelang Regency in Central Java has discovered new gold potential, but has not been thoroughly explored. The magnetic method is applied to identify and determine the distribution of the presence of gold mineralized zones based on the magnetic properties of rocks. A total of 1001 points on 41 magnetic line were acquired using Proton Precession Magnetometer (PPM) Geometrics model G-856 in an area of 2.5 km2. Field data is obtained as Magnetic Field Anomaly. Reduction to pole (RTP) and low-pass filter process is applied to the magnetic anomaly. The results showed the Gunung Gupit area was divided into 4 zones based on magnetic anomaly responses, i.e strong, medium, weak anomaly and igneous rock zones. The 2.5 D modeling result shows the presence of northwest-southeast normal fault and strike slip fault that is perpendicular to the normal fault. These faults control the hydrothermal alteration in Gunung Gupit and its surroundings. A strong mineralization zone lies between these two faults. The presence of gold and other metal minerals lies in this strong mineralization zone, and moderate alteration. The coverage area is quite wide and distributed along the two faults.

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Published

2022-11-15

How to Cite

Yatini, Y. ., Zakaria, M. F. ., & Suyanto, I. . (2022). Identification of Gold Mineralization Zones Using Magnetic Data at Gunung Gupit Area, Magelang, Central Java. RSF Conference Series: Engineering and Technology, 1(1), 305–312. https://doi.org/10.31098/cset.v1i1.384