THE USE OF DEEP LEARNING TO DETERMINE ARRIVAL TIME OF P AND S WAVES FOR GEOTHERMAL MICROSEISMIC DATA
The output of microseismic data processing depends on the quality of P and S wave picking, which is commonly peformed manually by geophysicist, but this process is time-consuming and prone to human subjectivity. New technologies such as deep learning can help reduce subjectivity and improve effic...
Saved in:
Main Author: | Haris Fahromi, Iqram |
---|---|
Format: | Final Project |
Language: | Indonesia |
Online Access: | https://digilib.itb.ac.id/gdl/view/86280 |
Tags: |
Add Tag
No Tags, Be the first to tag this record!
|
Institution: | Institut Teknologi Bandung |
Language: | Indonesia |
Similar Items
-
APPLICATION OF DEEP LEARNING PHASENET, GAMMA EVENT ASSOCIATION, AND HYPOCENTER DETERMINATION WITH NONLINLOC METHOD IN MICROSEISMIC EARTHQUAKES IN GEOTHERMAL AREA
by: Ihsan Sagara Putera, Muhammad -
MICROSEISMIC MONITORING ANALYSIS BEFORE, DURING, AND AFTER OVERHAUL IN PATUHA GEOTHERMAL FIELD
by: Mirsyanti Ananda, Saskia -
Microseismic Signals In The Obs Meramex Data
Recording
by: Gatot, Yuliyanto, et al.
Published: (2011) -
MICROSEISMIC STUDY FOCAL MECHANISM AND ITS IMPLICATIONS TO SUBSURFACE GEOLOGICAL STRUCTURE INTERPRETATION IN MUARA LABOH GEOTHERMAL FIELD
by: Anityo Satya Wibowo, Djoko -
P-WAVE DETECTION USING DEEP LEARNING IN TIME AND FREQUENCY DOMAIN FOR IMBALANCED DATASET
by: Aditya Sugondo, Rhesa