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Please use this identifier to cite or link to this item: http://hdl.handle.net/123456789/1327

Title: DESIGN AND IMPLEMENTATION OF FORWARD AND INVERSE GRAVITY MODELING SYSTEM
Authors: Amanuel, Zewge
Advisors: Dr. Dida Midekso
Dr. Eng. Elias Lewi
Copyright: 2008
Date Added: 2-Sep-2008
Publisher: Addis Ababa University
Abstract: Geophysics is the science that deals with the physical properties of the earth’s interior using data obtained from gravity, resistivity, electromagnetic and seismic reflection methods. Among these methods gravity survey is used to detect the underground structure of the earth (density contrast) by means of disturbance they produce at the surface in the earth’s gravitational field. Gravity method involves data collection from separated stations in the target area using gravimeter based on relative measurement to a given base station. These collected data are then reduced to remove all quantifiable disturbing effects. From the surveyed and reduced high and low gravity values, it is merely possible to make a tentative and qualitative interpretation, if something is known about the geology. However, the problem comes from the reduced observations; and from taking into consideration all other available information about the region, how to determine the size, shape and position of the subsurface structure giving rise to the gravity disturbance. One of the approaches to analyze and interpret geophysical data is the construction of different geological models. Therefore, in this project we developed an application that helps professionals in the area of geophysics to perform two-dimensional forward/inverse gravity data modeling to acquire some knowledge about the underground geological structure or at least some of its elements, given in terms of the anomalous mass distribution (density contrast) without further destructing the environment. While testing our application on real data that were collected around filweha, the resulting subsurface structural model produced computed gravity data that matched the observed gravity data, within acceptable root mean square error.
Description: A Project paper submitted to the School of Graduate Studies of Addis Ababa University in partial fulfillment of the requirements for the Degree of Master of Science in Computer Science
URI: http://hdl.handle.net/123456789/1327
Appears in:Thesis - Computer Science

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