Russian mathematicians and geophysicists have developed a way to increase the efficiency of the electromagnetic exploration method (CSEM) of gold and other ores.
This method involves feeding into the ground.oscillating electric current through grounded electrodes for subsequent measurement of the electromagnetic field on the surface. Its distribution depends on the distribution of electrical conductivity under the site, which makes it possible to identify zones associated with the accumulation of metal-containing ore. Despite the need to deploy the complex electrical equipment, the main problem is the complexity of the analysis of the data.
However, a group of scientists from Skolkovo, Moscow Institute of Physics and Technology, St. Petersburg State University andThe University of Utah has developed a numerical method that significantly reduces the amount of computation required, making the task solvable on modern supercomputers.
The proposed algorithm was checked on one ofSukhoi Log in the Irkutsk region is the largest gold ore deposit in the world. Despite the huge deposits, it is very complex due to the low concentration of gold in the rock. The results were compared with the data of Soviet geologists, who had drilled about 800 wells at one time.
According to the team, the created volumetric imagethe geological environment measuring 6x4x4 kilometers was of high quality and more precisely any made using direct current. So far, no one has solved the inverse CSEM problems of this size.
This information allows you to do with a minimum of exploration wells to verify the calculated data, which significantly reduces the cost and time of research.
The developed method is fully applicable not only for the analysis of gold deposits, but also for copper-nickel, copper-pyrite and polymetallic.
Recently, scientists accidentally discovered an even simplermethod of finding gold deposits. A team of physicists has developed a compact underground detector that uses cosmic radiation to create an "X-ray" of precious metal deposits below the surface.