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Keywords: time series data
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Proceedings Papers

Paper presented at the SPE/IATMI Asia Pacific Oil & Gas Conference and Exhibition, October 12–14, 2021
Paper Number: SPE-205627-MS
... autoencoder bit selection upstream oil & gas test run neural network long short-term memory variational autoencoder drilling data input data artificial intelligence time series data testing data estimation bilstm-vae model petroleum engineer magana-mora real-time bit-wear estimation...
Proceedings Papers

Paper presented at the SPE/IATMI Asia Pacific Oil & Gas Conference and Exhibition, October 12–14, 2021
Paper Number: SPE-205677-MS
... technique based on artificial intelligence, in collaboration with industry, the government, and academia. This technique was an unsupervised learning model built using an encoder-decoder, long short-term memory architecture. The model was trained with the time series data of normal drilling operations...
Proceedings Papers

Paper presented at the SPE Asia Pacific Oil & Gas Conference and Exhibition, November 17–19, 2020
Paper Number: SPE-202379-MS
... reservoir simulation beta index well sensitivity dominant mode western australia node connection density network approach time series time series data sensitivity application correlation measure university artificial intelligence data mining machine learning Introduction Some...
Proceedings Papers

Paper presented at the SPE/IATMI Asia Pacific Oil & Gas Conference and Exhibition, October 29–31, 2019
Paper Number: SPE-196528-MS
... Analytics (EDA) to understand time series data behavior and extract relevant features; and this exercise is particularly important with multi-variate data sets. Obtaining significant data features from multivariate time series data can help define which analytics and machine learning methods could...

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