TN801 : Application of Wavelet transform and Enhanced Horizontal Derivative (EHD) to Interpretation Gravity Anomalies
Thesis > Central Library of Shahrood University > Mining, Petroleum & Geophysics Engineering > MSc > 2018
Authors:
Zeynab dadjou [Author], HAMID AGHAJANI[Supervisor], Amin Roshandel Kahoo[Supervisor]
Abstarct: Identifying sub-surface structures and phenomena which leads to the accumulation of underground resources such as water, oil and minerals is one of the most important actions in an exploratory program. The geometry is one of the subcategories of exploratory geophysics which is used for detecting underground resources in wide areas. This method is widely used in the early stages of exploration of hydrocarbon sources and also mineral exploration due to its low cost and easier interpretation than other methods. The processing and interpreting gravity data is carried out qualitatively and quantitatively, which results in identifying and detecting the horizontal and vertical extension of the anomalies as well as their depth. Therefore, estimating the depth and boundary of mass anomalies is one of the main objectives of potential field data. In order to achieve this goal, in this research, two methods of enhanced horizontal derivative and 2D directional continuous wavelet transform have been used. Use of 2D wavelet transform method for estimating the boundary of subsurface resources has the ability to detect objects, due to the use of wavelet transform coefficients in different scales. Also, the improved horizontal derivative method has been used due to the use of vertical derivative of vertical derivative at different levels to reveal the edges of artificial models as well as actual data and compare their results. Hence, the related codes are written in the MATLAB software environment and the results are adapted to geological structures.
Keywords:
#enhanced horizontal derivative #2D directional continuous wavelet transform #gravity anomalies #edge detection Link
Keeping place: Central Library of Shahrood University
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