Time-series well performance prediction based on Long Short-Term Memory (LSTM) neural network model

X Song, Y Liu, L Xue, J Wang, J Zhang, J Wang… - Journal of Petroleum …, 2020 - Elsevier
Oil production forecasting is one of the most critical issues during the exploitation phase of
the oilfield. The limitations of traditional approaches make time-series production prediction …

Unconventional reservoir rate-transient analysis

CR Clarkson - 2021 - books.google.com
Unconventional Reservoir Rate-Transient Analysis provides petroleum engineers and
geoscientists with the first comprehensive review of rate-transient analysis (RTA) methods …

[PDF][PDF] Forecasting natural gas: A literature survey

JG Tamba, SN Essiane, EF Sapnken, FD Koffi… - International Journal of …, 2018 - zbw.eu
This work presents a state-of-the-art survey of published papers that forecast natural gas
production, consumption or demand, prices and income elasticity, market volatility and hike …

A new-structure grey Verhulst model for China's tight gas production forecasting

B Zeng, X Ma, M Zhou - Applied Soft Computing, 2020 - Elsevier
Tight gas, shale gas and coalbed gas are recognized as the three sources of
unconventional natural gas in the world. Currently, China's tight gas production is at an …

[HTML][HTML] Reinforcement learning for statistical process control in manufacturing

ZJ Viharos, R Jakab - Measurement, 2021 - Elsevier
The main concept of the authors is to place Reinforcement Learning (RL) into various fields
of manufacturing. As one of the first implementations, RL for Statistical Process Control …

Application of proxy-based MCMC and EDFM to history match a Vaca Muerta shale oil well

S Dachanuwattana, J Jin, P Zuloaga-Molero, X Li, Y Xu… - Fuel, 2018 - Elsevier
Embedding complex discrete fractures in reservoir simulation is required to attain more
realistic flow behavior of shale reservoirs. However, using local grid refinement to model …

A well rate prediction method based on LSTM algorithm considering manual operations

X Li, K Xiao, X Li, C Yu, D Fan, Z Sun - Journal of Petroleum Science and …, 2022 - Elsevier
Manual operations such as changing the size of chokes as well as opening and closing of
the well have a great impact on oil and gas production from the well. This scenario is not …

Fractured horizontal well productivity prediction in tight oil reservoirs

J Hu, C Zhang, Z Rui, Y Yu, Z Chen - Journal of Petroleum Science and …, 2017 - Elsevier
Horizontal wells productivity prediction and its influence factors analysis have important
meanings in development of tight oil reservoirs. The purpose of a reservoir engineering …

The impact of pressure and fluid property variation on well performance of liquid-rich Eagle Ford shale

SA Gherabati, J Browning, F Male… - Journal of Natural Gas …, 2016 - Elsevier
Abstract The Eagle Ford Shale presents a unique opportunity to assess the effect of wide-
ranging fluid properties and pressure on well performance across a single shale play …

Production forecasting in shale reservoirs through conventional DCA and machine/deep learning methods

C Temizel, CH Canbaz, O Saracoglu… - … Conference, 20–22 …, 2020 - library.seg.org
Predicting EUR in unconventional tight-shale reservoirs with prolonged transient behavior is
a challenging task. Most methods used in predicting such long-term behavior have shown …