PREDIKSI NILAI PERMEABILITAS RELATIF JST.
Artificial Neural Network (ANN) is a mathematical method adopting the human brain system. ANN try to adopt building components and ways of human neural network system. ANNs do the modeling due to two basic components of the human neural network those are nodal and synapsis. Writer tries to use AN...
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id-itb.:749022023-07-24T12:14:22ZPREDIKSI NILAI PERMEABILITAS RELATIF JST. HERNAWAN, ADITYA Indonesia Final Project ANN, relatives permeability, input data INSTITUT TEKNOLOGI BANDUNG https://digilib.itb.ac.id/gdl/view/74902 Artificial Neural Network (ANN) is a mathematical method adopting the human brain system. ANN try to adopt building components and ways of human neural network system. ANNs do the modeling due to two basic components of the human neural network those are nodal and synapsis. Writer tries to use ANN for predicting the relatives permeability value. This research is based upon the limited relative permeability field data. At the other hand, the writer also tries to make a connection between the input data and the relative permeability data then synchronized with the basic theory about the relationship of the reservoir data with the relatives permeability data itself. text |
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Institut Teknologi Bandung |
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Institut Teknologi Bandung Library |
| continent |
Asia |
| country |
Indonesia Indonesia |
| content_provider |
Institut Teknologi Bandung |
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Indonesia |
| description |
Artificial Neural Network (ANN) is a mathematical method adopting the human brain system. ANN try to
adopt building components and ways of human neural network system. ANNs do the modeling due to two
basic components of the human neural network those are nodal and synapsis.
Writer tries to use ANN for predicting the relatives permeability value. This research is based upon the
limited relative permeability field data. At the other hand, the writer also tries to make a connection
between the input data and the relative permeability data then synchronized with the basic theory about the
relationship of the reservoir data with the relatives permeability data itself. |
| format |
Final Project |
| author |
HERNAWAN, ADITYA |
| spellingShingle |
HERNAWAN, ADITYA PREDIKSI NILAI PERMEABILITAS RELATIF JST. |
| author_facet |
HERNAWAN, ADITYA |
| author_sort |
HERNAWAN, ADITYA |
| title |
PREDIKSI NILAI PERMEABILITAS RELATIF JST. |
| title_short |
PREDIKSI NILAI PERMEABILITAS RELATIF JST. |
| title_full |
PREDIKSI NILAI PERMEABILITAS RELATIF JST. |
| title_fullStr |
PREDIKSI NILAI PERMEABILITAS RELATIF JST. |
| title_full_unstemmed |
PREDIKSI NILAI PERMEABILITAS RELATIF JST. |
| title_sort |
prediksi nilai permeabilitas relatif jst. |
| url |
https://digilib.itb.ac.id/gdl/view/74902 |
| _version_ |
1822994058053681152 |