TY - GEN

T1 - Изучение временных характеристик вызванной поляризации при поисках рудных месторождений

AU - Гурин, Г.В.

AU - Тарасов, A.В.

AU - Титов, К.В.

PY - 2019/4/22

Y1 - 2019/4/22

N2 - We present a state-of-the-art of spectral interpretation of induced polarization (IP) data; we discuss the advantages and drawbacks of this approach, as well as perspectives of its further development. We briefly show how spectral parameters can be obtained from time domain IP data and how they can be applied in ore prospecting. Based on experience obtained in VIRG-Rudgeofizika Ltd., we show that the standard chargeability-based approach alone can lead to missing of perspective ore bodies or to overestimation of bodies without economic interest. In contrast, consideration of spectral data allows discriminate between these classes of potential drilling targets. We present two case studies of combined application of the chargeability-based approach and of spectral approach (two gold deposits: Maletovaiam, Kamchatka, and Yasnoe, Taimyr), which allows in combination to discover areas of prospecting interest (e.g., hydrothermally altered volcano-sedimentary rocks and berezitized rocks containing pyrite). We also highlight that a main complication in use of the spectral approach is not a time-consuming field measurements, but rather the time-consuming visual data analysis. We propose, therefore, a new algorithm based on the pattern recognition principle, and we applied it to the field data.

AB - We present a state-of-the-art of spectral interpretation of induced polarization (IP) data; we discuss the advantages and drawbacks of this approach, as well as perspectives of its further development. We briefly show how spectral parameters can be obtained from time domain IP data and how they can be applied in ore prospecting. Based on experience obtained in VIRG-Rudgeofizika Ltd., we show that the standard chargeability-based approach alone can lead to missing of perspective ore bodies or to overestimation of bodies without economic interest. In contrast, consideration of spectral data allows discriminate between these classes of potential drilling targets. We present two case studies of combined application of the chargeability-based approach and of spectral approach (two gold deposits: Maletovaiam, Kamchatka, and Yasnoe, Taimyr), which allows in combination to discover areas of prospecting interest (e.g., hydrothermally altered volcano-sedimentary rocks and berezitized rocks containing pyrite). We also highlight that a main complication in use of the spectral approach is not a time-consuming field measurements, but rather the time-consuming visual data analysis. We propose, therefore, a new algorithm based on the pattern recognition principle, and we applied it to the field data.

KW - Geophysics

KW - Gold deposits

KW - Lead deposits

KW - pattern recognition

KW - polarization

KW - Pyrites

KW - Sedimentary rocks

UR - http://www.scopus.com/inward/record.url?scp=85071381849&partnerID=8YFLogxK

U2 - 10.3997/2214-4609.201901726

DO - 10.3997/2214-4609.201901726

M3 - статья в сборнике материалов конференции

T3 - 15th Conference and Exhibition Engineering and Mining Geophysics 2019, Gelendzhik 2019

SP - 348

EP - 358

BT - 15th Conference and Exhibition Engineering and Mining Geophysics 2019, Gelendzhik 2019

PB - European Association of Geoscientists and Engineers

T2 - 15th Conference and Exhibition Engineering and Mining Geophysics 2019, Gelendzhik 2019

Y2 - 22 April 2019 through 26 April 2019

ER -