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A New Screening Tool for Improved Oil Recovery Methods Using Artificial Neural Networks

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Outgoing claims: the papers this work cites, builds on, or argues with.

inferredcites →https://doi.org/10.1016/b978-0-12-809374-0.00002-7openalex-snapshot

Properties of Petroleum Fluids

inferredcites →https://doi.org/10.1016/b978-1-933762-32-6.50009-0openalex-snapshot

Properties of Petroleum Fluids

inferredcites →https://doi.org/10.1016/c2013-0-11292-5openalex-snapshot

Handbook of Neural Computing Applications

inferredcites →https://doi.org/10.1016/c2018-0-04535-1openalex-snapshot

Petroleum Reservoir Simulation

inferredcites →https://doi.org/10.13140/2.1.2917.5364openalex-snapshot

Handbook of Neural Computing Applications

inferredcites →https://doi.org/10.2118/1537-g-paopenalex-snapshot

Laboratory Studies of Oil Recovery by Steam Injection

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A Laboratory Investigation of Miscible Displacement by Carbon Dioxide

inferredcites →https://doi.org/10.2118/35385-paopenalex-snapshot

EOR Screening Criteria Revisited— Part 1: Introduction to Screening Criteria and Enhanced Recovery Field Projects

inferredcites →https://doi.org/10.2118/39234-paopenalex-snapshot

EOR Screening Criteria Revisited—Part 2: Applications and Impact of Oil Prices

inferredcites →https://doi.org/10.2118/39689-msopenalex-snapshot

Enhanced Recovery for Selected Components of a Highly Volatile Oil

inferredcites →https://doi.org/10.2118/90055-msopenalex-snapshot

Carbon Dioxide Sequestration in Coal Seams: A Parametric Study and Development of a Practical Prediction/Screening Tool Using Neuro-Simulation

inferredcites →https://doi.org/10.2118/97164-msopenalex-snapshot

A Neurosimulation Tool for Predicting Performance in Enhanced Coalbed Methane and CO2 Sequestration Projects

inferredcites →https://doi.org/10.2523/12069-msopenalex-snapshot

Technical Screening Guides for the Enhanced Recovery of Oil

inferredcites →https://doi.org/10.2523/39689-msopenalex-snapshot

Enhanced Recovery for Selected Components of a Highly Volatile Oil

inferredcites →https://doi.org/10.2523/88471-msopenalex-snapshot

Optimized Exploitation of Gas-Condensate Reservoirs Using Neuro-Simulation

inferredcites →https://doi.org/10.2523/97164-msopenalex-snapshot

A Neurosimulation Tool for Predicting Performance in Enhanced Coalbed Methane and CO2 Sequestration Projects

What points at this work

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inferred← citeshttps://doi.org/10.2139/ssrn.4655477openalex-extracted

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inferred← citeshttps://doi.org/10.1002/cjce.23179openalex-snapshot

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inferred← citeshttps://doi.org/10.1007/978-3-319-95810-1_5openalex-snapshot

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inferred← citeshttps://doi.org/10.1007/s00521-014-1553-9openalex-snapshot

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inferred← citeshttps://doi.org/10.1007/s00521-015-2152-0openalex-snapshot

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inferred← citeshttps://doi.org/10.1007/s00521-023-08557-2openalex-snapshot

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inferred← citeshttps://doi.org/10.1007/s11053-021-09844-2openalex-snapshot

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inferred← citeshttps://doi.org/10.1007/s12182-016-0112-7openalex-snapshot

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inferred← citeshttps://doi.org/10.1007/s13202-023-01726-yopenalex-snapshot

A new approach based on VIKOR and Monte-Carlo algorithms for determining the most efficient enhanced oil recovery methods: EOR screening

inferred← citeshttps://doi.org/10.1007/s40430-022-03403-3openalex-snapshot

Development of an evolutionary artificial neural network-based tool for selecting suitable enhanced oil recovery methods

inferred← citeshttps://doi.org/10.1016/j.cageo.2017.03.009openalex-snapshot

Development of a data-driven forecasting tool for hydraulically fractured, horizontal wells in tight-gas sands

inferred← citeshttps://doi.org/10.1016/j.eswa.2014.08.034openalex-snapshot

Integrated cluster analysis and artificial neural network modeling for steam-assisted gravity drainage performance prediction in heterogeneous reservoirs

inferred← citeshttps://doi.org/10.1016/j.eswa.2015.05.047openalex-snapshot

Practical implementation of knowledge-based approaches for steam-assisted gravity drainage production analysis

inferred← citeshttps://doi.org/10.1016/j.fuel.2016.05.009openalex-snapshot

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inferred← citeshttps://doi.org/10.1016/j.fuel.2017.11.110openalex-snapshot

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inferred← citeshttps://doi.org/10.1016/j.fuel.2022.124795openalex-snapshot

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inferred← citeshttps://doi.org/10.1016/j.ijggc.2017.11.004openalex-snapshot

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inferred← citeshttps://doi.org/10.1016/j.jngse.2018.08.017openalex-snapshot

Characterization of tight-gas sand reservoirs from horizontal-well performance data using an inverse neural network

inferred← citeshttps://doi.org/10.1016/j.petrol.2014.07.036openalex-snapshot

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inferred← citeshttps://doi.org/10.1016/j.petrol.2015.05.015openalex-snapshot

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inferred← citeshttps://doi.org/10.1016/j.petrol.2019.02.001openalex-snapshot

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inferred← citeshttps://doi.org/10.1016/j.petrol.2020.108214openalex-snapshot

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inferred← citeshttps://doi.org/10.1016/j.petrol.2021.108761openalex-snapshot

Application of machine learning techniques for selecting the most suitable enhanced oil recovery method; challenges and opportunities

inferred← citeshttps://doi.org/10.1016/j.petrol.2021.109617openalex-snapshot

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inferred← citeshttps://doi.org/10.1016/j.ptlrs.2025.06.007openalex-snapshot

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Machine-Learning Approach for Forecasting Steam-Assisted Gravity-Drainage Performance in the Presence of Noncondensable Gases

inferred← citeshttps://doi.org/10.1109/access.2020.2985230openalex-snapshot

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inferred← citeshttps://doi.org/10.2118/169588-msopenalex-snapshot

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inferred← citeshttps://doi.org/10.2118/170113-msopenalex-snapshot

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inferred← citeshttps://doi.org/10.2118/170144-msopenalex-snapshot

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inferred← citeshttps://doi.org/10.2118/171105-msopenalex-snapshot

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inferred← citeshttps://doi.org/10.2118/174031-msopenalex-snapshot

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inferred← citeshttps://doi.org/10.2118/176725-msopenalex-snapshot

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inferred← citeshttps://doi.org/10.2118/180033-msopenalex-snapshot

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inferred← citeshttps://doi.org/10.2118/180034-msopenalex-snapshot

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inferred← citeshttps://doi.org/10.2118/180488-msopenalex-snapshot

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inferred← citeshttps://doi.org/10.2118/190028-msopenalex-snapshot

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inferred← citeshttps://doi.org/10.2118/200853-msopenalex-snapshot

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inferred← citeshttps://doi.org/10.2118/204563-msopenalex-snapshot

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inferred← citeshttps://doi.org/10.2118/210559-paopenalex-snapshot

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inferred← citeshttps://doi.org/10.2118/212953-msopenalex-snapshot

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inferred← citeshttps://doi.org/10.2118/212953-paopenalex-snapshot

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inferred← citeshttps://doi.org/10.2118/213349-msopenalex-snapshot

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inferred← citeshttps://doi.org/10.2118/221475-paopenalex-snapshot

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inferred← citeshttps://doi.org/10.7939/r3qf8js95openalex-snapshot

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