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Estimation of reservoir porosity based on seismic inversion results using deep learning methods
Runhai Feng
Applied Geology
Research output
:
Contribution to journal
›
Article
›
Scientific
›
peer-review
29
Citations (Scopus)
Overview
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Dive into the research topics of 'Estimation of reservoir porosity based on seismic inversion results using deep learning methods'. Together they form a unique fingerprint.
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Earth and Planetary Sciences
Inversion
100%
Reservoir Porosity
100%
Learning
100%
Rock Property
60%
Input
60%
Seismic Data
60%
Position (Location)
40%
Data Set
40%
Porosity
40%
Compliance
20%
Target
20%
Constraint
20%
Reading
20%
Output
20%
Reservoir
20%
Rule
20%
Accuracy
20%
Estimate
20%
Artificial Neural Network
20%
Area
20%
Compressibility
20%
Structural Basin
20%
INIS
learning
100%
porosity
100%
neural networks
57%
rocks
42%
data
42%
prediction
28%
datasets
28%
comparative evaluations
28%
filters
28%
resolution
14%
compliance
14%
range
14%
compressibility
14%
information
14%
output
14%
nonlinear problems
14%
accuracy
14%
performance
14%
kernels
14%
shear
14%