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Information Journal Paper

Title

Sparse inversion of magnetic data in data space, application of the method on the data from Tigh Nou Ab area in south of Birjand

Pages

  35-47

Abstract

 This paper introduces a sparse inversion methodology for large-scale Magnetic Survey data. The minimum support constraint is used in the stabilizer term and leads to models with sharp boundaries. The subsurface under the survey area is divided into a large number of cubes with fixed geometry and unknown susceptibility. In this case, the number of model parameters is much larger than the number of data. Then, transforming from the model space to the Data Space yields a much smaller system of equations that can be solved quickly. The Conjugate Gradient algorithm is used to obtain the numerical solution of this system of equations. The proposed algorithm has been applied on a synthetic model consisting of multiple bodies, and also, on real data from Tigh Nuo Ab area in south of Birjand, Iran. Both synthetic and real cases have demonstrated the efficiency of the presented algorithm....

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    APA: Copy

    JOULIDEHSAR, FARSHAD, & VATANKHAH, SAEED. (2016). Sparse inversion of magnetic data in data space, application of the method on the data from Tigh Nou Ab area in south of Birjand. JOURNAL OF RESEARCH ON APPLIED GEOPHYSICS, 2(1 ), 35-47. SID. https://sid.ir/paper/268626/en

    Vancouver: Copy

    JOULIDEHSAR FARSHAD, VATANKHAH SAEED. Sparse inversion of magnetic data in data space, application of the method on the data from Tigh Nou Ab area in south of Birjand. JOURNAL OF RESEARCH ON APPLIED GEOPHYSICS[Internet]. 2016;2(1 ):35-47. Available from: https://sid.ir/paper/268626/en

    IEEE: Copy

    FARSHAD JOULIDEHSAR, and SAEED VATANKHAH, “Sparse inversion of magnetic data in data space, application of the method on the data from Tigh Nou Ab area in south of Birjand,” JOURNAL OF RESEARCH ON APPLIED GEOPHYSICS, vol. 2, no. 1 , pp. 35–47, 2016, [Online]. Available: https://sid.ir/paper/268626/en

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