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=== Geophysical methods === Geophysical methods are particularly useful in areas where direct detection of kimberlites is challenging due to significant [[overburden]] or weathering. These methods leverage physical property contrasts between kimberlite bodies and their surrounding host rocks, enabling the detection of subtle anomalies indicative of potential kimberlite deposits. Airborne and ground surveys, including magnetics, electromagnetics, and gravity surveys, are commonly employed to acquire geophysical data over large areas efficiently. Magnetic surveys detect variations in the Earth's magnetic field caused by magnetic minerals within kimberlites, which typically exhibit distinct magnetic signatures compared to surrounding rocks. Electromagnetic surveys measure variations in electrical conductivity, with conductive kimberlite bodies producing anomalous responses. Gravity surveys detect variations in gravitational attraction caused by differences in density between kimberlite and surrounding rocks. By analyzing and interpreting these geophysical anomalies, geologists can delineate potential kimberlite targets for further investigation, such as drilling. However, the interpretation of geophysical data requires careful consideration of geological context and potential masking effects from surrounding geology, highlighting the importance of integrating geophysical results with other exploration techniques for accurate targeting and successful diamond discoveries.<ref name=":0" /><ref>{{Cite book |last1=Soloveichik |first1=Yury G. |last2=Persova |first2=Marina G. |last3=Sivenkova |first3=Anastasia P. |last4=Kiselev |first4=Dmitry S. |last5=Simon |first5=Evgenia I. |last6=Leonovich |first6=Daryana A. |chapter=Comparative Analysis of Airborne Electrical Prospecting Technologies Using Helicopter Platforms and UAVs when Searching for Kimberlite Pipes |date=2023-11-10 |title=2023 IEEE XVI International Scientific and Technical Conference Actual Problems of Electronic Instrument Engineering (APEIE) |chapter-url=https://ieeexplore.ieee.org/document/10347567 |publisher=IEEE |pages=1β4 |doi=10.1109/APEIE59731.2023.10347567 |isbn=979-8-3503-3088-5}}</ref>
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