Well performance prediction based on Long Short-Term Memory (LSTM) neural network
R Huang, C Wei, B Wang, J Yang, X Xu, S Wu… - Journal of Petroleum …, 2022 - Elsevier
Fast and accurate prediction of well performance continues to play an increasingly important
role in development adjustment and optimization. It is now possible to predict performance …
role in development adjustment and optimization. It is now possible to predict performance …
Intelligent optimization for modelling superhydrophobic ceramic membrane oil flux and oil-water separation efficiency: Evidence from wastewater treatment and …
Due to the significant energy and economic losses brought on by the global oil spill, there
has been an increased interest in oil-water separation. This study presents strong non-linear …
has been an increased interest in oil-water separation. This study presents strong non-linear …
[HTML][HTML] Well production forecast in Volve field: Application of rigorous machine learning techniques and metaheuristic algorithm
Develo** a model that can accurately predict the hydrocarbon production by only
employing the conventional mathematical approaches can be very challenging. This is …
employing the conventional mathematical approaches can be very challenging. This is …
Evolving support vector regression using Grey Wolf optimization; forecasting the geomechanical properties of rock
C Xu, M Nait Amar, MA Ghriga, H Ouaer… - Engineering with …, 2022 - Springer
The geomechanical properties of rock, including shear strength (SS) and uniaxial
compressive strength (UCS), are very important parameters in designing rock structures. To …
compressive strength (UCS), are very important parameters in designing rock structures. To …
[HTML][HTML] Prediction of permeability from well logs using a new hybrid machine learning algorithm
Permeability is a measure of fluid transmissibility in the rock and is a crucial concept in the
evaluation of formations and the production of hydrocarbon from the reservoirs. Various …
evaluation of formations and the production of hydrocarbon from the reservoirs. Various …
Machine learning approaches for estimating interfacial tension between oil/gas and oil/water systems: a performance analysis
Interfacial tension (IFT) is a key physical property that affects various processes in the oil and
gas industry, such as enhanced oil recovery, multiphase flow, and emulsion stability …
gas industry, such as enhanced oil recovery, multiphase flow, and emulsion stability …
An evolutional SVM method based on incremental algorithm and simulated indicator diagrams for fault diagnosis in sucker rod pum** systems
X Lv, H Wang, X Zhang, Y Liu, D Jiang, B Wei - Journal of Petroleum …, 2021 - Elsevier
Fault diagnosis of the sucker rod pum** system (SRPS) is a challenging problem in the oil
industry. Recently, the computer-aided indicator diagram (ID) recognition techniques are …
industry. Recently, the computer-aided indicator diagram (ID) recognition techniques are …
Metaheuristic algorithm integrated neural networks for well-test analyses of petroleum reservoirs
In recent years, well-test research has witnessed several works to automate reservoir model
identification and characterization using computer-assisted models. Since the reservoir …
identification and characterization using computer-assisted models. Since the reservoir …
Development of hybrid computational data-intelligence model for flowing bottom-hole pressure of oil wells: New strategy for oil reservoir management and monitoring
Among several metric parameters concerning the assessment of oil and gas well production,
the flowing bottom-hole pressure (FBHP) is considered essential. Accurate prediction of …
the flowing bottom-hole pressure (FBHP) is considered essential. Accurate prediction of …
[HTML][HTML] Operational method for determining bottom hole pressure in mechanized oil producing wells, based on the application of multivariate regression analysis
IN Ponomareva, VI Galkin, DA Martyushev - Petroleum Research, 2021 - Elsevier
One of the major tasks of monitoring production well operations is to determine bottom-hole
flowing pressure. The overwhelming majority of wells in the Perm Krai are serviced using …
flowing pressure. The overwhelming majority of wells in the Perm Krai are serviced using …