3D inversion of magnetic data seeking sharp boundaries: a case study for a porphyry copper deposit from Now Chun in central Iran

摘要: This paper describes an application of 3D inversion magnetic data to recover a susceptibility model from anomalies. For this purpose, the subsurface desired area anomaly is divided into mesh with large number rectangular prisms unknown susceptibilities. A Tikhonov cost function multi-term regularizers involving boundaries distribution and edge-preserving penalty function, as tool sharp boundaries, was used. Three methods (i.e., U-curve, Tikhonov-curve L-curve methods) are applied determine optimum regularization parameter during process. Testing showed that U-curve (a well-known method in mathematics) geophysical inverse problems proposed technique can be appropriate candidates, like common method, for choosing optimal parameter. To avoid natural tendency structures concentrate at shallow depths models created by inversion, depth weighting derived information depthto- the-bottom generating source applied. The AN-EUL combination analytic signal Euler deconvolution used estimate structural index causative sources order construct function. Here, it assumed there no remanent magnetization observed influenced only induced magnetization. case study ground based measurements over porphyry-Cu deposit located Kerman providence Iran, Now Chun deposit, included. recovered provided beneficial design exploration drilling programme. lows constructed model, particular, their down 410 m, coincides with known locations copper mineralization.