We found a match
Your institution may have access to this item. Find your institution then sign in to continue.
- Title
基于三维高密度电阻率法的露天铁矿山采空区精准探测.
- Authors
王恩德; 沈剑; 李彬; 袁昆
- Abstract
Aiming at the technical problem of accurate detection of underground hidden goaf in open-pit iron mines, based on the geological characteristics of actual ore deposits in an open-pit iron mine and the resistivity values of different rock ore bodies, three anomaly identification models were established to analyze the abnormal response characteristics of goaf under the condition of uneven transverse electrical properties, and the distribution rule of geoelectric field was obtained, the application research was carried out through the field test. The results show that the anomaly identification model can simulate the geoelectric field distribution accurately. In large area detection work, 3D high-density resistivity method can effectively overcome the interference of the volume effect of 2D high-density resistivity method on the accurate location discrimination of goaf and weaken the abnormal expansion effect.
- Subjects
IRON mining; IRON ores; ORE deposits; THREE-dimensional imaging; SONAR imaging; ORES
- Publication
Journal of Northeastern University (Natural Science), 2023, Vol 44, Issue 7, p996
- ISSN
1005-3026
- Publication type
Article
- DOI
10.12068/j.issn.1005-3026.2023.07.011