PREDICTION OF PRESSURE DROP IN TWO-PHASE GEOTHERMAL WELL USING MACHINE LEARNING - PHYSICS INFORMED NEURAL NETWORK (ML-PINN)

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Main Author: Aji Nugroho, Agung
Format: Theses
Language:Indonesia
Online Access:https://digilib.itb.ac.id/gdl/view/80644
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Institution: Institut Teknologi Bandung
Language: Indonesia
id id-itb.:80644
spelling id-itb.:806442024-02-19T10:35:04ZPREDICTION OF PRESSURE DROP IN TWO-PHASE GEOTHERMAL WELL USING MACHINE LEARNING - PHYSICS INFORMED NEURAL NETWORK (ML-PINN) Aji Nugroho, Agung Indonesia Theses simulasi sumur, pressure drop, Artificial Neural Network (ANN), Physics-Informed Neural network (PINN) INSTITUT TEKNOLOGI BANDUNG https://digilib.itb.ac.id/gdl/view/80644 text
institution Institut Teknologi Bandung
building Institut Teknologi Bandung Library
continent Asia
country Indonesia
Indonesia
content_provider Institut Teknologi Bandung
collection Digital ITB
language Indonesia
description
format Theses
author Aji Nugroho, Agung
spellingShingle Aji Nugroho, Agung
PREDICTION OF PRESSURE DROP IN TWO-PHASE GEOTHERMAL WELL USING MACHINE LEARNING - PHYSICS INFORMED NEURAL NETWORK (ML-PINN)
author_facet Aji Nugroho, Agung
author_sort Aji Nugroho, Agung
title PREDICTION OF PRESSURE DROP IN TWO-PHASE GEOTHERMAL WELL USING MACHINE LEARNING - PHYSICS INFORMED NEURAL NETWORK (ML-PINN)
title_short PREDICTION OF PRESSURE DROP IN TWO-PHASE GEOTHERMAL WELL USING MACHINE LEARNING - PHYSICS INFORMED NEURAL NETWORK (ML-PINN)
title_full PREDICTION OF PRESSURE DROP IN TWO-PHASE GEOTHERMAL WELL USING MACHINE LEARNING - PHYSICS INFORMED NEURAL NETWORK (ML-PINN)
title_fullStr PREDICTION OF PRESSURE DROP IN TWO-PHASE GEOTHERMAL WELL USING MACHINE LEARNING - PHYSICS INFORMED NEURAL NETWORK (ML-PINN)
title_full_unstemmed PREDICTION OF PRESSURE DROP IN TWO-PHASE GEOTHERMAL WELL USING MACHINE LEARNING - PHYSICS INFORMED NEURAL NETWORK (ML-PINN)
title_sort prediction of pressure drop in two-phase geothermal well using machine learning - physics informed neural network (ml-pinn)
url https://digilib.itb.ac.id/gdl/view/80644
_version_ 1822009248317440000