APPLICATION OF IMPROVED TILT-EULER DECONVOLUTION METHOD ON GRAVITY DATA IN PARIANGAN AREA, WEST SUMATRA

Identifying the existence and depth of anomaly sources along with the existence of geological structures is an important aspect in the exploration stage. In this research, Euler Deconvolution and Improved Tilt-Euler techniques were used as two alternative methods to obtain this information. The I...

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Bibliographic Details
Main Author: Iedza Dwinanda, Muhammad
Format: Final Project
Language:Indonesia
Online Access:https://digilib.itb.ac.id/gdl/view/78920
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Institution: Institut Teknologi Bandung
Language: Indonesia
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Summary:Identifying the existence and depth of anomaly sources along with the existence of geological structures is an important aspect in the exploration stage. In this research, Euler Deconvolution and Improved Tilt-Euler techniques were used as two alternative methods to obtain this information. The Improved Tilt-Euler Deconvolution method does not require structural index information related to the type of geological object, in contrast to conventional Euler Deconvolution which requires structural index information. To understand the application of these two methods in more depth, studies were carried out on several synthetic models before implementing them on field data. The results of the synthetic study analysis show that the Improved Tilt-Euler deconvolution process is able to identify most structures in one solution stage when there are several types of geological objects simultaneously, however this method has limitations because some noise can be identified as geological objects. Meanwhile, the conventional Euler deconvolution process provides results that are more focused on certain anomalous bodies according to the structural index used, but there is still noise that resembles other geological objects. Furthermore, Euler Deconvolution and Improved Tilt-Euler Deconvolution techniques were used in the Pariangan geothermal field. Based on the results of Euler deconvolution and Improved Tilt-Euler deconvolution, the presence of dominant anomaly sources can be identified at a depth of <900 m, which is in accordance with the depth trend obtained from the results of spectral analysis. Apart from that, geological structures can also be identified in the form of main faults trending northwest-southeast and southwest-northeast which may be antithetic to faults in the study area. The directions of these faults are in accordance with the results of residual anomaly map analysis supported by geological information. If we look at each deconvolution result, Improved Tilt-Euler deconvolution is able to produce deeper solution point estimates compared to Euler deconvolution. Although both methods can be carried out on field data, they still need to be confirmed by supporting data or other geophysical methods.