3D Inversion of Magnetic Data through Wavelet based Regularization Method

  • سال انتشار: 1394
  • محل انتشار: مجله بین المللی معدن و مهندسی زمین، دوره: 49، شماره: 1
  • کد COI اختصاصی: JR_IJMGE-49-1_001
  • زبان مقاله: انگلیسی
  • تعداد مشاهده: 782
دانلود فایل این مقاله

نویسندگان

Maysam Abedi

Department of Mining Engineering, College of Engineering, University of Tehran, Iran

Hamid-Reza Siahkoohi

Institute of Geophysics, University of Tehran, Iran

Ali Gholami

Institute of Geophysics, University of Tehran, Iran

Gholam-Hossain Norouzi

Department of Mining Engineering, College of Engineering, University of Tehran, Iran

چکیده

This study deals with the 3D recovering of magnetic susceptibility model by incorporating the sparsity-based constraints in the inversion algorithm. For this purpose, the area under prospect was divided into a large number of rectangular prisms in a mesh with unknown susceptibilities. Tikhonov cost functions with two sparsity functions were used to recover the smooth parts as well as the sharp boundaries of model parameters. A pre-selected basis namely wavelet can recover the region of smooth behaviour of susceptibility distribution while Haar or finite-difference (FD) domains yield a solution with rough boundaries. Therefore, a regularizer function which can benefit from the advantages of both wavelets and Haar/FD operators in representation of the 3D magnetic susceptibility distributionwas chosen as a candidate for modeling magnetic anomalies. The optimum wavelet and parameter β which controls the weight of the two sparsifying operators were also considered. The algorithm assumed that there was no remanent magnetization and observed that magnetometry data represent only induced magnetization effect. The proposed approach is applied to a noise-corrupted synthetic data in order to demonstrate its suitability for 3D inversion of magnetic data. On obtaining satisfactory results, a case study pertaining to the ground based measurement of magnetic anomaly over a porphyry-Cu deposit located in Kerman profIranow Chun deposit was presented to be 3D inverted. The low susceptibility in the constructed model coincides with the known location of copper ore mineralization.

کلیدواژه ها

Magnetic anomaly, Sparsity constraints, Wavelet transform, 3D modeling

مقالات مرتبط جدید

اطلاعات بیشتر در مورد COI

COI مخفف عبارت CIVILICA Object Identifier به معنی شناسه سیویلیکا برای اسناد است. COI کدی است که مطابق محل انتشار، به مقالات کنفرانسها و ژورنالهای داخل کشور به هنگام نمایه سازی بر روی پایگاه استنادی سیویلیکا اختصاص می یابد.

کد COI به مفهوم کد ملی اسناد نمایه شده در سیویلیکا است و کدی یکتا و ثابت است و به همین دلیل همواره قابلیت استناد و پیگیری دارد.