[HTML][HTML] A review of recent developments in CO2 mobility control in enhanced oil recovery

O Massarweh, AS Abushaikha - Petroleum, 2022 - Elsevier
Carbon dioxide-enhanced oil recovery (CO 2-EOR) has gained widespread attention in light
of the declining conventional oil reserves. Moreover, CO 2-EOR contributes to the reduction …

A self-adaptive deep learning algorithm for accelerating multi-component flash calculation

T Zhang, Y Li, Y Li, S Sun, X Gao - Computer Methods in Applied …, 2020 - Elsevier
In this paper, the first self-adaptive deep learning algorithm is proposed in details to
accelerate flash calculations, which can quantitatively predict the total number of phases in …

An ANN model to predict oil recovery from a 5-spot waterflood of a heterogeneous reservoir

S Kalam, U Yousuf, SA Abu-Khamsin… - Journal of Petroleum …, 2022 - Elsevier
Waterflooding is a secondary oil recovery technique in which water is injected into an
underground oil reservoir to maintain the reservoir pressure and boost oil recovery. The …

Direct prediction of relative permeability curve from 3D digital rock images based on deep learning approaches

C Xie, J Zhu, J Wang, J Yang, H Song - International Journal of Rock …, 2023 - Elsevier
The relative permeability curve is one of the key features to evaluate the flow property of a
porous medium, which is important in petroleum and gas industry, yet it is not easy to obtain …

Comparison of different machine learning algorithms for predicting the SAGD production performance

Z Huang, Z Chen - Journal of Petroleum Science and Engineering, 2021 - Elsevier
Abstract Steam Assisted Gravity Drainage (SAGD) is a typical thermal recovery process
consisting of an upper horizontal injector and a lower horizontal producer, which heats and …

[HTML][HTML] Predicting the surfactant-polymer flooding performance in chemical enhanced oil recovery: Cascade neural network and gradient boosting decision tree

A Larestani, SP Mousavi, F Hadavimoghaddam… - Alexandria Engineering …, 2022 - Elsevier
Surfactant-polymer flooding is one of the most important enhanced oil recovery (EOR)
techniques, which refers to the injection of surfactant slugs and polymer drives. Two crucial …

Experimental investigation and modeling of fluid and carbonated rock interactions with EDTA chelating agent during EOR process

R Daneshfar, M Karimi Nouroddin… - Energy & …, 2023 - ACS Publications
The injection of chemical fluids into oil reservoirs is gaining widespread attention in light of
the declining conventional oil resources by recovering more hydrocarbons. This study is …

Optimizing flood predictions by integrating LSTM and physical-based models with mixed historical and simulated data

J Li, G Wu, Y Zhang, W Shi - Heliyon, 2024 - cell.com
The current flood forecasting models heavily rely on historical measured data, which is often
insufficient for robust predictions due to practical challenges such as high measurement …

The influence of permeability and heterogeneity on chemical flooding efficiency and remaining oil distribution—based on NMR displacement imaging

Y Zhang, C Gai, B Song, J Jiang, Z Wang - Scientific Reports, 2023 - nature.com
To investigate the impact of permeability and heterogeneity on oil displacement efficiency
and remaining oil distribution of chemical flooding, three groups of high and ultrahigh …

[HTML][HTML] Intelligent petroleum engineering

MA Mirza, M Ghoroori, Z Chen - Engineering, 2022 - Elsevier
Data-driven approaches and artificial intelligence (AI) algorithms are promising enough to
be relied on even more than physics-based methods; their main feed is data which is the …