IDENTIFICATION OF THE EXISTENCE OF FRACTURE STRUCTURES AND SUBSURFACE MODELING AROUND THE CIPARAY BANDUNG AREA USING GRAVITY DATA
The study was conducted to identify the presence of fault structures and create subsurface models in the area around Ciparay. In this study, the observation gravity data was processed to obtain a complete Bouguer anomaly, with a background density of 2.5 gr/cc. The complete Bouguer anomaly value...
Saved in:
Main Author: | |
---|---|
Format: | Final Project |
Language: | Indonesia |
Online Access: | https://digilib.itb.ac.id/gdl/view/68632 |
Tags: |
Add Tag
No Tags, Be the first to tag this record!
|
Institution: | Institut Teknologi Bandung |
Language: | Indonesia |
Summary: | The study was conducted to identify the presence of fault structures and create
subsurface models in the area around Ciparay. In this study, the observation gravity
data was processed to obtain a complete Bouguer anomaly, with a background
density of 2.5 gr/cc. The complete Bouguer anomaly value in the Ciparay area has a
range of 122 to 158 mGal. Then the anomaly was separated using the Moving
Average, Butterworth, Gaussian and Elkins SVD operator filters. Regional and
residual anomaly values ? ? obtained have almost the same range and trend. From
the resulting residual anomaly map, the residual anomaly map was chosen using the
Butterworth and Moving Average methods because it has a lot of compatibility with
surface geological conditions, especially in identifying structures in the residual
anomaly lineation pattern. Furthermore, subsurface structure analysis was carried
out with FHD and SVD correlation analysis and straightness analysis using Fault
Fracture Density. The maximum FHD value, SVD value 0 and areas with high FFD
values (0.38 - 0.77 km/km2) indicate the presence of a shallow fault structure. Based
on the lineament analysis of the DEM data, information is obtained about the
lineaments in the Northwest – Southeast direction. To strengthen the interpretation
of the structure, signal analytic and Euler deconvolution methods are used which
can identify the depth and boundary of the source of the anomaly. Furthermore,
forward 2D modeling is carried out on the Southwest – Northeast trending trajectory.
The modeling results show the presence of layers according to the geological map
with high anomaly values as a response to igneous rock intrusion that appears near
the surface, while low anomalies are in response to lake deposits and Malabar-Tilu
volcanic rocks. |
---|