UNDERGROUND MODELING WITH LINIER INVERSION WEIGHTED UNDERDETERMINED GRAVITY WITH RECTANGULAR TALWANI GRAVITY METHOD USING FORWARD MODELING SYNTHETIC DATA
The Gravity Method is a geophysical exploration method that uses measurable variations in gravity in the field. In subsurface model variables and gravity anomaly data, it is closely related to forward modeling and inversion. Forward modeling is a technique of predicting data from a specified mode...
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| Format: | Final Project |
| Language: | Indonesia |
| Online Access: | https://digilib.itb.ac.id/gdl/view/50219 |
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| Institution: | Institut Teknologi Bandung |
| Language: | Indonesia |
| Summary: | The Gravity Method is a geophysical exploration method that uses measurable
variations in gravity in the field. In subsurface model variables and gravity anomaly
data, it is closely related to forward modeling and inversion. Forward modeling is
a technique of predicting data from a specified model, while inversion is a technique
of predicting a model on the surface with specified data. Rectangular talwani is a
method that plays an important role in running forward modeling programs as well
as inversions to measure ground surface gravity anomalies. This study aims to
determine the suitability of synthetic data with data inversion. The inversion used
is weighted underdetermined linear inversion, then the inversion model is modeled
forward again to be compared with the synthetic data. From the research, the
accuracy of the values obtained from the linear inversion of the underdetermined
tobobot is compared with the previous research using the underdetermined linear
inversion.
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