Skip Nav Destination
Close Modal
Update search
Filter
- Title
- Author
- Author Affiliations
- Full Text
- Abstract
- Keyword
- DOI
- ISBN
- EISBN
- ISSN
- EISSN
- Issue
- Volume
- References
- Paper Number
Filter
- Title
- Author
- Author Affiliations
- Full Text
- Abstract
- Keyword
- DOI
- ISBN
- EISBN
- ISSN
- EISSN
- Issue
- Volume
- References
- Paper Number
Filter
- Title
- Author
- Author Affiliations
- Full Text
- Abstract
- Keyword
- DOI
- ISBN
- EISBN
- ISSN
- EISSN
- Issue
- Volume
- References
- Paper Number
Filter
- Title
- Author
- Author Affiliations
- Full Text
- Abstract
- Keyword
- DOI
- ISBN
- EISBN
- ISSN
- EISSN
- Issue
- Volume
- References
- Paper Number
Filter
- Title
- Author
- Author Affiliations
- Full Text
- Abstract
- Keyword
- DOI
- ISBN
- EISBN
- ISSN
- EISSN
- Issue
- Volume
- References
- Paper Number
Filter
- Title
- Author
- Author Affiliations
- Full Text
- Abstract
- Keyword
- DOI
- ISBN
- EISBN
- ISSN
- EISSN
- Issue
- Volume
- References
- Paper Number
NARROW
Format
Subjects
Article Type
Date
Availability
1-2 of 2
Keywords: lstm model
Close
Follow your search
Access your saved searches in your account
Would you like to receive an alert when new items match your search?
Sort by
Proceedings Papers
Developing a Machine Learning Application for Well Production Forecasting in Frequently Changing Operating Conditions
Available to PurchasePublisher: Offshore Technology Conference
Paper presented at the Offshore Technology Conference, May 5–8, 2025
Paper Number: OTC-35680-MS
... The LSTM model was implemented using Keras with a TensorFlow backend in Python. The architecture consisted of multiple stacked LSTM layers. A sequential input layer processed the data through a series of hidden states with activation functions, ultimately leading to a dense output layer. The LSTM...
Proceedings Papers
Increasing Facility Uptime Using Machine Learning and Physics-Based Hybrid Analytics in a Dynamic Digital Twin
Available to PurchasePublisher: Offshore Technology Conference
Paper presented at the Offshore Technology Conference, May 4–7, 2020
Paper Number: OTC-30723-MS
... uptime sensor data physics-based model field sensor synthetic data reinforcement learning flowrate artificial intelligence machine learning dynamic digital twin simulator agent production optimization neural network rl agent application upstream oil & gas lstm model References...