Instruct: Identify the main and secondary category of Arxiv papers based on the titles and abstracts
Query: Deep learning for lithological classification of carbonate rock micro-CT
  images   In addition to the ongoing development, pre-salt carbonate reservoir
characterization remains a challenge, primarily due to inherent geological
particularities. These challenges stimulate the use of well-established
technologies, such as artificial intelligence algorithms, for image
classification tasks. Therefore, this work intends to present an application of
deep learning techniques to identify patterns in Brazilian pre-salt carbonate
rock microtomographic images, thus making possible lithological classification.
Four convolutional neural network models were proposed. The first model
includes three convolutional layers followed by fully connected layers and is
used as a base model for the following proposals. In the next two models, we
replace the max pooling layer with a spatial pyramid pooling and a global
average pooling layer. The last model uses a combination of spatial pyramid
pooling followed by global average pooling in place of the last pooling layer.
All models are compared using original images, when possible, as well as
resized images. The dataset consists of 6,000 images from three different
classes. The model performances were evaluated by each image individually, as
well as by the most frequently predicted class for each sample. According to
accuracy, Model 2 trained on resized images achieved the best results, reaching
an average of 75.54% for the first evaluation approach and an average of 81.33%
for the second. We developed a workflow to automate and accelerate the
lithology classification of Brazilian pre-salt carbonate samples by
categorizing microtomographic images using deep learning algorithms in a
non-destructive way.

20
The categories of this paper are: acc-phys
15
The categories of this paper are: nucl-ex
2
The categories of this paper are: math
4
The categories of this paper are: cond-mat
18
The categories of this paper are: econ
36
The categories of this paper are: cmp-lg
5
The categories of this paper are: gr-qc
34
The categories of this paper are: chem-ph
0
The categories of this paper are: hep-ph
27
The categories of this paper are: comp-gas
24
The categories of this paper are: dg-ga
14
The categories of this paper are: math-ph
11
The categories of this paper are: hep-lat
31
The categories of this paper are: ao-sci
10
The categories of this paper are: q-bio
9
The categories of this paper are: nlin