Joint interpretation of magnetic and magnetotelluric data in exploration for volcanic units

2019 ◽  
Author(s):  
Kaijun Xu* ◽  
Yaoguo Li
Keyword(s):  
Magnetotelluric Data ◽  
Joint Interpretation

Tectonic structure and metallogeny of the Western Chukotka: insights from comprehensive geophysical dataset interpretation.

2020 ◽  
Author(s):  
Kseniia Antashchuk ◽  
Alexey Atakov ◽  
Kirill Mazurkevich ◽  
Oleg Petrov
Keyword(s):  
Potential Field ◽  
Deep Structure ◽  
Volcanic Belt ◽  
Structural Features ◽  
Geological Structure ◽  
Crystalline Basement ◽  
Magnetotelluric Data ◽  
Potential Field Data ◽  
Volcanic Deposits ◽  
Joint Interpretation

<p>Geological structure of western part of the Chukotka fold belt has been studied basing on the results of joint interpretation of geophysical data. The potential-field data, seismic and magnetotelluric data along two regional profile crossed the area and the off-shore seismic data obtained on the East Siberian sea were used in this study. The NE and NW oriented fault systems which control the mineragenous zones location were first detected and delineated. Joint interpretation of seismic and MT data along regional profiles allowed us to study: the deep structure of NW directed thrusts; the intrusion bodies morphology; the structural features of the Paleozoic and Mesozoic formations and the structure of volcanic deposits. The models of geological structure along regional profiles were used as a reference for potential field interpretation. Architecture of crystalline basement of the area was studied and several “steps” were detected. The depth of crystalline basement increases from north to south and reaches the largest depth under the volcanic deposits of Ochotsk-Chukotsk Volcanic Belt (OCVB).</p>

Audio-magnetotelluric data log for Cedarville, California, 15-minute Quadrangle

1978 ◽  
Author(s):  
Donald B. Hoover ◽  
Susan Gardner ◽  
Jackie M. Williams
Keyword(s):  
Magnetotelluric Data ◽  
Data Log

scholarly journals Improved shift-invariant sparse coding for noise attenuation of magnetotelluric data

2020 ◽  
Vol 72 (1) ◽  
Author(s):  
Guang Li ◽  
Xiaoqiong Liu ◽  
Jingtian Tang ◽  
Juzhi Deng ◽  
Shuanggui Hu ◽  
...  
Keyword(s):  
Sparse Coding ◽  
Noise Attenuation ◽  
Magnetotelluric Data
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