Open AccessLong Short-term Memory (LSTM) Networks for Forecasting Reservoir Performances in Carbon Capture, Utilisation, and Storage (CCUS) Operations
Author(s) -
Utomo Pratama Iskandar,
Masanori Kurihara
Publication year - 2022
Publication title -
scientific contributions oil and gas
Language(s) - English
Resource type - Journals
eISSN - 2541-0520
pISSN - 2089-3361
DOI - 10.29017/scog.45.1.943
Subject(s) - computer science , generalizability theory , infill , reservoir simulation , time horizon , robustness (evolution) , reservoir modeling , horizon , consistency (knowledge bases) , deep learning , artificial intelligence , machine learning , data mining , mathematical optimization , engineering , petroleum engineering , statistics , mathematics , biochemistry , chemistry , structural engineering , gene , geometry
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