MLchartDataset catalogue

Convolutional neural network (CNN)

Term · Oil and gas · MLC-T-OAG-000851

A class of deep neural networks specifically designed to process and analyze visual data, such as images and video. CNNs use specialized layers, like convolutional and pooling layers, to automatically learn hierarchical features from raw input data. In oil and gas, CNNs are widely applied for seismic interpretation, fault detection, and identifying anomalies in equipment imagery.

Table 1. Record
IdentifierMLC-T-OAG-000851
FieldOil and gas
SubjectDigital
AbbreviationCNN
Record as JSON
{
  "id": "MLC-T-OAG-000851",
  "term": "Convolutional neural network (CNN)",
  "field": "Oil and gas",
  "definition": "A class of deep neural networks specifically designed to process and analyze visual data, such as images and video. CNNs use specialized layers, like convolutional and pooling layers, to automatically learn hierarchical features from raw input data. In oil and gas, CNNs are widely applied for seismic interpretation, fault detection, and identifying anomalies in equipment imagery.",
  "abbreviation": "CNN",
  "subject": "Digital",
  "url": "https://mlchart.com/terminology/oil-and-gas/convolutional-neural-network-cnn/"
}

Record 914 of 4,469 in Oil and gas terminology (MLC-0103). Request the full dataset.