Sequence-to-Sequence (Seq2Seq) Long Short-Term Memory (LSTM) for oil production forecast of shale reservoirs
C Aranguren, A Fragoso, R Aguilera - … Technology Conference, 20 …, 2022 - library.seg.org
A machine learning approach is considered to develop a Seq2Seq LSTM-based learning
framework for oil production forecasting in the Eagle Ford shale employing encoder-decoder …
framework for oil production forecasting in the Eagle Ford shale employing encoder-decoder …
[PDF][PDF] Integrated Data-Driven and Physics-Based Techniques for Improved/Enhanced Huff and Puff Gas Injection in Multiporosity Shale Oil Reservoirs.
CF Aranguren-Silva - 2024 - prism.ucalgary.ca
I anticipate that the revolution of data analytics in the oil and gas industry will have a
profound global impact. By employing a high volume of collected data and computational …
profound global impact. By employing a high volume of collected data and computational …
[PDF][PDF] Improved Oil Recovery by Huff and Puff Gas Injection and Potential of Carbon Dioxide Storage in the La Luna Shale of Colombia
CM Herrera Tellez - 2024 - prism.ucalgary.ca
This thesis presents geological, geochemical and petrophysical descriptions of the La Luna
Shale in Colombia with a view to build a reservoir simulation model for investigating the …
Shale in Colombia with a view to build a reservoir simulation model for investigating the …
Be a Good Geoscientist First, and the Rest Will Follow
BL Roth, DJ Hills - SPE Energy Transition Symposium, 2023 - onepetro.org
This paper seeks to demonstrate the application of learnings from the oil and gas industry,
specifically in the field of geoscience, as they relate to applications within the growing …
specifically in the field of geoscience, as they relate to applications within the growing …