• Title of article

    Application of Gravity Method in Fault Path Detection

  • Author/Authors

    Reza. Toushmalani، نويسنده ,

  • Issue Information
    روزنامه با شماره پیاپی سال 2010
  • Pages
    11
  • From page
    6450
  • To page
    6460
  • Abstract
    A fault is a crack in the Earthʹs crust. Typically, faults are associated with, or form, the boundaries between Earthʹs tectonic plates. Faults are important in mineral and petroleum exploration and hydro geological studies. In this paper, We use gravity method in fault path detection. Considering two-dimensional view of the faults, three models considered .with mat lab programming we generate gravity, horizontal and vertical gradient charts due to these models. Some results of this discussion: 1) around a vertical fault, there is a minimum and maximum. The position of the fault is the middle between minimum and maximum.2) Used to find edges of anomalies for shallow bodies with vertical edges the max horizontal gradient will occur over the edge.3) Due to a Inclined Faulted and Displaced Horizontal Sheet a)When 90°, which corresponds to a high-angle reverse fault. The excess mass in the overlap zone generates a pronounced maximum b) When 90°, which corresponds to a high-angle normal fault. The mass deficiency in the sheet gap zone creases a distinct minimum.4) Both Gravity and Vertical Gravity Gradient Are Zero Over, And Ant symmetric About, The Fault Trace.5) It Is Also Difficult To Say Simply That A Gravity Gradiometer Is Better Than A Gravimeter Up To A Certain Depth Without A Knowledge Or Assumption Of The Target Geometry.6) It is shown that a Gradiometer Is better than a Gravimeter In Detecting Short- Wavelength Anomalies. In Other Words, A Gradiometer Can Provide A Better Lateral Resolution Than a Gravimeter
  • Keywords
    horizontal and vertical gradient , Vertical fault , Inclined Faulted , Fault , mat lab programming
  • Journal title
    Australian Journal of Basic and Applied Sciences
  • Serial Year
    2010
  • Journal title
    Australian Journal of Basic and Applied Sciences
  • Record number

    676199