Upgrade to Pro
— share decks privately, control downloads, hide ads and more …
Speaker Deck
Features
Speaker Deck
PRO
Sign in
Sign up for free
Search
Search
Use of the "shape-of-anomaly" data misfit in 3D...
Search
Sponsored
·
Your Podcast. Everywhere. Effortlessly.
Share. Educate. Inspire. Entertain. You do you. We'll handle the rest.
→
Leonardo Uieda
September 10, 2012
Science
510
0
Share
Embed
Copy iframe code
Copy JS code
Copy link
Start on current slide
Use of the "shape-of-anomaly" data misfit in 3D inversion by planting anomalous densities
Leonardo Uieda
September 10, 2012
More Decks by Leonardo Uieda
See All by Leonardo Uieda
PhD defense
leouieda
0
1.8k
Inversão gravimétrica do relevo da Moho em coordenadas esféricas
leouieda
0
150
Fatiando a Terra: construindo uma base para ensino e pesquisa de geofísica
leouieda
0
1k
Modelagem e inversão em coordenadas esféricas na gravimetria
leouieda
0
130
Gravity inversion in spherical coordinates using tesseroids
leouieda
0
560
Modelagem gravimétrica em coordenadas esféricas
leouieda
0
180
3D magnetic inversion by planting anomalous densities
leouieda
1
490
Iron ore interpretation using gravity-gradient inversions in the Carajás, Brazil
leouieda
0
340
Rapid 3D inversion of gravity and gravity gradient data to test geologic hypotheses
leouieda
1
390
Other Decks in Science
See All in Science
Wet Active Matter
rajeshrinet
0
140
摂理と合理の肉体改造 — AI時代の減量を支える観測・制御・継続
kiyoshi
0
3.1k
データベース14: B+木 & ハッシュ索引
trycycle
PRO
0
890
1. CPC理論の展開と集合的知能モデル(JSAI2026 KS-27 集合的予測符号化と新たな知性の時代)
hayashiyus884
1
330
AkarengaLT vol.40
hashimoto_kei
0
120
機械学習 - SVM
trycycle
PRO
2
1.2k
やるべきときにMLをやる AIエージェント開発
fufufukakaka
2
1.5k
ハミルトン・ヤコビ方程式の解の性質と物理的意味
enakai00
0
860
O(log n)-Approximation Algorithms for Bipartiteness Ratio
tasusu
0
130
データベース03: 関係データモデル
trycycle
PRO
1
800
LLMs vs Chess
ianozsvald
0
110
データベース08: 実体関連モデルとは?
trycycle
PRO
0
1.6k
Featured
See All Featured
What does AI have to do with Human Rights?
axbom
PRO
1
2.3k
How Software Deployment tools have changed in the past 20 years
geshan
1
34k
Visualization
eitanlees
152
17k
Jess Joyce - The Pitfalls of Following Frameworks
techseoconnect
PRO
1
370
[SF Ruby Conf 2025] Rails X
palkan
2
1.3k
How to optimise 3,500 product descriptions for ecommerce in one day using ChatGPT
katarinadahlin
PRO
2
3.8k
Distributed Sagas: A Protocol for Coordinating Microservices
caitiem20
333
23k
It's Worth the Effort
3n
188
29k
Performance Is Good for Brains [We Love Speed 2024]
tammyeverts
12
1.8k
Embracing the Ebb and Flow
colly
88
5.1k
sira's awesome portfolio website redesign presentation
elsirapls
0
320
Exploring anti-patterns in Rails
aemeredith
3
470
Transcript
Use of the “shape-of-anomaly” data misfit in 3D inversion by
planting anomalous densities Leonardo Uieda Valéria C. F. Barbosa
Difference in shape
None
Scale factor: d i =α g i
Scale factor: d i =α g i SOA= √∑ i=1
N (α g i −d i )2
Scale factor: d i =α g i SOA= √∑ i=1
N (α g i −d i )2 minSOA α= ∑ i=1 N g i d i ∑ i=1 N g i 2
d , g α SOA Predicted (model) Observed
None
None
Planting anomalous densities
g i (observed)
mesh
seed d i (predicted)
Choose the best: φ= √∑ i=1 N (g i −d
i )2 min of Γ=φ+μθ & compactness
Choose the best: φ= √∑ i=1 N (g i −d
i )2 min of Γ=SOA+μθ & Exchange for shape-of-anomaly
Γ=φ+μθ Γ=SOA+μθ SOA SOA
Γ=φ+μθ Γ=SOA+μθ SOA SOA
Γ=φ+μθ Γ=SOA+μθ SOA SOA
Γ=φ+μθ Γ=SOA+μθ SOA SOA
Γ=φ+μθ Γ=SOA+μθ SOA SOA
Γ=φ+μθ Γ=SOA+μθ SOA SOA
Γ=φ+μθ Γ=SOA+μθ SOA SOA
Γ=φ+μθ Γ=SOA+μθ SOA SOA
Γ=φ+μθ Γ=SOA+μθ SOA SOA
Γ=φ+μθ Γ=SOA+μθ SOA SOA
Γ=φ+μθ Γ=SOA+μθ SOA SOA
Γ=φ+μθ Γ=SOA+μθ SOA SOA
Synthetic tests
None
None
None
SOA
SOA
SOA SOA
SOA SOA
None
SOA
SOA
SOA SOA
None
SOA
SOA
SOA SOA
Redenção granite
Bouguer anomaly Outcrop
Oliveira et al.(2008) Bouguer anomaly ~ 6 km
Oliveira et al.(2008) Bouguer anomaly Seed at 3km ~ 6
km
SOA Known outcrop
SOA Outcrop at wrong place Known outcrop
SOA Outcrop at wrong place ~ 9 km Known outcrop
SOA
SOA Outcrop at right place
SOA Outcrop at right place ~ 6 km
5 SOA SOA
5 SOA SOA 6 km
In conclusion
SOA SOA
SOA SOA
SOA SOA
SOA SOA