Annotation of Using Borehole Time-Lapse Gravity by Genetic Algorithm Inversion for Subsurface Modeling
Gunawan Indra
Primary Author
mixed material
bibliography
Bandung
ITB Journal Publisher
2020
e
English
hlm : 153-165
Journal of Engineering and Technological Sciences
Abstract
We present the annotation to a genetic algorithm (GA) method for an inverse synthetic subsurface density model using surface and borehole time-lapse gravity data. The objective of the inversion is to find the boundaries of the object area and background, where one bit of the chromosome represents the densities. The model that was used in this paper was a simple homogeneous body anomaly and a simplified real water mass injection model in order to argue that the code is suitable for field modeling. We show the influences of the existence of borehole gravity data and location towards the inversion, where the result indicates that an additional good borehole location could increase the success rate up to 13.33% compared to without gravity borehole data for the simple model and up to 4.39% for the field model. The inversion produced the best results when the borehole positions were placed in a state of symmetry towards the body object's mass.
Ilmu Teknik
JETS
23375779
Perpustakaan Teknik UPI YAI
JETS V52N2 April 2020
JETS9-002
Perpustakaan FT UPI YAI
JETS V52N2 April 2020
JETS_ITB.png.png
58808
2023-01-24 16:06:43
2023-01-24 16:06:43
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