Modelling minimum miscibility pressure of CO2 -crude oil systems using deep learning, tree-based, and thermodynamic models: Application to CO2 sequestration and enhanced oil recovery

No abstract is available for this paper.

• Publication year

  2023

• Venue

  Separation and Purification Technology

• Publication date

  2023-01-01

• Fields of study

  Not labeled

• Identifiers
  DOI 10.1016/j.seppur.2022.123086
• External record

  Open on Semantic Scholar

• Source metadata

  Semantic Scholar

• No claims are published for this paper.

• No concepts are published for this paper.

• Machine Learning Assisted Structure-based Models for Predicting Electrical Conductivity of Ionic Liquids

  2022cited by this paper
• Predicting viscosity of CO2–N2 gaseous mixtures using advanced intelligent schemes

  2022cited by this paper
• Predicting formation damage of oil fields due to mineral scaling during water-flooding operations: Gradient boosting decision tree and cascade-forward back-propagation network

  2022cited by this paper
• On the evaluation of permeability of heterogeneous carbonate reservoirs using rigorous data-driven techniques

  2022cited by this paper
• Compositional Modeling of the Oil Formation Volume Factor of Crude Oil Systems: Application of Intelligent Models and Equations of State

  2022cited by this paper
• Predicting the surfactant-polymer flooding performance in chemical enhanced oil recovery: Cascade neural network and gradient boosting decision tree

  2022cited by this paper
• Experimental measurement and compositional modeling of bubble point pressure in crude oil systems: Soft computing approaches, correlations, and equations of state

  2022cited by this paper
• Nonlinear seismic inversion by physics-informed Caianiello convolutional neural networks for overpressure prediction of source rocks in the offshore Xihu depression, East China

  2022cited by this paper
• Application of machine learning to evaluating and remediating models for energy and environmental engineering

  2022cited by this paper
• Data-driven estimation for permeability of simplex pore-throat reservoirs via an improved light gradient boosting machine: A demonstration of sand-mud profile, Ordos Basin, northern China

  2022cited by this paper
• Modeling of methane adsorption capacity in shale gas formations using white-box supervised machine learning techniques

  2021cited by this paper
• A machine learning model for predicting the minimum miscibility pressure of CO2 and crude oil system based on a support vector machine algorithm approach

  2021cited by this paper
• A novel method to determine the thief zones in heavy oil reservoirs based on convolutional neural network

  2021cited by this paper
• Use of hybrid-ANFIS and ensemble methods to calculate minimum miscibility pressure of CO2 - reservoir oil system in miscible flooding process

  2021cited by this paper
• Modeling of H2S solubility in ionic liquids using deep learning: A chemical structure-based approach

  2021cited by this paper
• Modeling of CO2 adsorption capacity by porous metal organic frameworks using advanced decision tree-based models

  2021cited by this paper
• Modeling of nitrogen solubility in unsaturated, cyclic, and aromatic hydrocarbons: Deep learning methods and SAFT equation of state

  2021cited by this paper
• Experimental measurement and modeling of water-based drilling mud density using adaptive boosting decision tree, support vector machine, and K-nearest neighbors: A case study from the South Pars gas field

  2021cited by this paper
• Data-driven model for hydraulic fracturing design optimization. Part II: Inverse problem

  2021cited by this paper
• A novel cryptocurrency price trend forecasting model based on LightGBM

  2020cited by this paper
• A comparative analysis of bubble point pressure prediction using advanced machine learning algorithms and classical correlations

  2020cited by this paper
• A novel system for reducing CO2-crude oil minimum miscibility pressure with CO2-soluble surfactants

  2020cited by this paper
• CatBoost for big data: an interdisciplinary review

  2020cited by this paper
• Modeling minimum miscibility pressure of pure/impure CO2-crude oil systems using adaptive boosting support vector regression: Application to gas injection processes

  2020cited by this paper
• Empirical correlations for prediction of minimum miscible pressure and near-miscible pressure interval for oil and CO2 systems

  2020cited by this paper
• Application of modified GMDH network for CO2-oil minimum miscibility pressure prediction

  2020cited by this paper
• Prediction of CO 2 ‐Oil Minimum Miscibility Pressure Using Soft Computing Methods

  2020cited by this paper
• Ethanol enhanced anionic surfactant solubility in CO2 and CO2 foam stability: MD simulation and experimental investigations

  2020cited by this paper
• Data-driven model for hydraulic fracturing design optimization: focus on building digital database and production forecast

  2019cited by this paper
• Improving deep neural networks with multi-layer maxout networks and a novel initialization method

  2018cited by this paper
• Modeling minimum miscibility pressure during pure and impure CO 2 flooding using hybrid of radial basis function neural network and evolutionary techniques

  2018cited by this paper
• The Impact of MMP on Recovery Factor During CO2 – EOR in Unconventional Liquid Reservoirs

  2018cited by this paper
• The role of CO 2 capture and utilization in mitigating climate change

  2017cited by this paper
• Co‐optimization of CO2‐EOR and storage processes in mature oil reservoirs

  2017cited by this paper
• Considering economic and geological uncertainty in the simulation of realistic investment decisions for CO2-EOR projects in the North Sea

  2017cited by this paper
• CatBoost: unbiased boosting with categorical features

  2017cited by this paper
• Application of adaptive neuro fuzzy interface system optimized with evolutionary algorithms for modeling CO2-crude oil minimum miscibility pressure

  2017cited by this paper
• Heterogeneous catalytic oxidation for the degradation of p-nitrophenol in aqueous solution by persulfate activated with CuFe2O4 magnetic nano-particles

  2017cited by this paper
• Optimal CO2 allocation and scheduling in enhanced oil recovery (EOR) operations

  2016cited by this paper
• XGBoost: A Scalable Tree Boosting System

  2016cited by this paper
• Simulating the Cranfield geological carbon sequestration project with high-resolution static models and an accurate equation of state.

  2016cited by this paper
• Accurate determination of the CO2‐crude oil minimum miscibility pressure of pure and impure CO2 streams: A robust modelling approach

  2016cited by this paper
• CO2 Accounting and Risk Analysis for CO2 Sequestration at Enhanced Oil Recovery Sites.

  2016cited by this paper
• Critical Dynamics of Gravito-Convective Mixing in Geological Carbon Sequestration

  2016cited by this paper
• Effect of gravity segregation on CO2 sequestration and oil production during CO2 flooding

  2016cited by this paper
• On the determination of CO2–crude oil minimum miscibility pressure using genetic programming combined with constrained multivariable search methods

  2016cited by this paper
• Rapid method to estimate the minimum miscibility pressure (MMP) in live reservoir oil systems during CO2 flooding

  2015cited by this paper
• An Improved CO2-Crude Oil Minimum Miscibility Pressure Correlation

  2015cited by this paper
• The genetic algorithm based back propagation neural network for MMP prediction in CO2-EOR process

  2014cited by this paper
• Application of hybrid neural particle swarm optimization algorithm for prediction of MMP

  2014cited by this paper
• Experimental Determination of Interfacial Tension and Miscibility of the CO2–Crude Oil System; Temperature, Pressure, and Composition Effects

  2014cited by this paper
• Deep learning in neural networks: An overview

  2014cited by this paper
• Implementing radial basis function networks for modeling CO2-reservoir oil minimum miscibility pressure

  2013cited by this paper
• Computational procedure for determination of minimum miscibility pressure of reservoir oil

  2013cited by this paper
• Intelligent model for prediction of CO2 – Reservoir oil minimum miscibility pressure

  2013cited by this paper
• A developed smart technique to predict minimum miscible pressure—eor implications

  2013cited by this paper
• A CO2-Oil Minimum Miscibility Pressure Model Based on Multi-Gene Genetic Programming

  2013cited by this paper
• Multiple-Mixing-Cell Method for MMP Calculations

  2011cited by this paper
• Enhanced Oil Recovery: An Update Review

  2010cited by this paper
• The Experimental Study on Minimum Miscibility Pressure in Shanle Oilfield

  2009cited by this paper
• Experimental Investigation of Secondary and Tertiary Gas Injection In Fractured Carbonate rock

  2007cited by this paper
• Principles of QSAR models validation: internal and external

  2007cited by this paper
• CO2 storage capacity estimation: Issues and development of standards

  2007cited by this paper
• CO2–oil minimum miscibility pressure model for impure and pure CO2 streams

  2007cited by this paper
• An Optimization Methodology of Alkaline-Surfactant-Polymer Flooding Processes Using Field Scale Numerical Simulation and Multiple Surrogates

  2005cited by this paper
• Robust Regression and Outlier Detection

  2005cited by this paper
• Development of an artificial neural network model for predicting minimum miscibility pressure in CO2 flooding

  2003cited by this paper
• Application of miscibility calculations to gas floods

  2003cited by this paper
• Improvement of the Method for Predicting Minimum Miscible Pressure

  2003cited by this paper
• Effect of Dispersion on Local Displacement Efficiency for Multicomponent Enriched-Gas Floods Above the Minimum Miscibility Enrichment

  2002cited by this paper
• Random Forests

  2001cited by this paper
• A comparison of CO2 minimum miscibility pressure determinations for Weyburn crude oil

  2001cited by this paper
• Reducing Carbon Dioxide Emissions with Enhanced Oil Recovery Projects: A Life Cycle Assessment Approach

  2001cited by this paper
• A Very Simple Multiple Mixing Cell Calculation To Compute the Minimum Miscibility Pressure Whatever the Displacement Mechanism

  1998cited by this paper
• Analytical calculation of minimum miscibility pressure

  1998cited by this paper
• Optimal transformations for multiple regression : Application to permeability estimation from well logs

  1997cited by this paper
• A new algorithm for enhanced oil recovery calculations

  1996cited by this paper
• The Promise And Problems of Enhanced Oil Recovery Methods

  1996cited by this paper
• A learning algorithm for multilayered neural networks based on linear least squares problems

  1993cited by this paper
• A study on the minimum miscibility pressure for miscible flooding systems

  1993cited by this paper
• Calculation of first contract and multiple contact minimum miscibility pressures

  1990cited by this paper
• Vapor-density measurement for estimating minimum miscibility pressure

  1988cited by this paper
• Studies of Gas Injection Into Oil Reservoirs by a Cell-to-Cell Simulation Model

  1986cited by this paper
• Analysis and correlation of nitrogen and lean gas miscibility pressure

  1985cited by this paper
• CO2 Minimum Miscibility Pressure: A Correlation for Impure CO2 Streams and Live Oil Systems

  1985cited by this paper
• Correlation of Minimum Miscibility Pressure for Impure CO2 Streams

  1985cited by this paper
• Interpretation of Pressure-Composition Phase Diagrams for CO2/Crude-Oil Systems

  1984cited by this paper
• Laboratory Design of a Gravity-Stable Miscible CO2 Process

  1984cited by this paper
• Carbon Dioxide Flooding Evaluation of High Pour-Point, Paraffinic Red Wash Reservoir Oil

  1983cited by this paper
• Multiple-Phase Generation During Carbon Dioxide Flooding

  1983cited by this paper
• Effect of oil composition on miscible-type displacement by carbon dioxide

  1982cited by this paper
• Effects of Impurities on Minimum Miscibility Pressures and Minimum Enrichment Levels for CO2 and Rich-Gas Displacements

  1982cited by this paper
• Study of a Possible CO2 Flood in Rangely Field

  1981cited by this paper
• The Effect of Phase Behavior on CO2-Flood Displacement Efficiency

  1981cited by this paper
• Target Reservoirs for CO2 Miscible Flooding

  1980cited by this paper
• The Effect Of Microscopic Core Heterogeneity On Miscible Flood Residual Oil Saturation

  1980cited by this paper
• Determination and Prediction of CO2 Minimum Miscibility Pressures (includes associated paper 8876 )

  1980cited by this paper
• Multiple Phase Behavior in Porous Media During CO2 or Rich-Gas Flooding

  1977cited by this paper
• Mechanisms of Oil Displacement By Carbon Dioxide

  1974cited by this paper
• Acid Gases And Their Contribution to Miscibility

  1972cited by this paper

• Application of Explainable Data-Driven Methods to Predict Minimum Miscibility Pressure for EOR and CCUS Applications

  2026cites this paper
• The Influence of Injection Modes on CO2 Flooding and Storage in Low-Permeability Reservoirs

  2026cites this paper
• Applications and Challenges of Machine Learning in Enhanced Oil Recovery: A Review

  2026cites this paper
• Machine learning-based estimation of crude oil-nitrogen interfacial tension

  2025cites this paper
• Toward accurate prediction of carbon dioxide (CO2) compressibility factor using tree-based intelligent schemes (XGBoost and LightGBM) and equations of state

  2025cites this paper
• Concatenating data-driven and reduced-physics models for smart production forecasting

  2025cites this paper
• Prediction of Ship CO2 Emissions and Fuel Consumption Using Voting-BRL Model

  2025cites this paper
• Predicting water-based drilling fluid filtrate volume in close to real time from routine fluid property measurements

  2025cites this paper
• Compositional modeling of solution gas–oil ratio (Rs): a comparative study of tree-based models, neural networks, and equations of state

  2025cites this paper
• Optimizing the development plan for oil production and CO2 storage in target oil reservoir

  2025cites this paper
• Formation permeability estimation using mud loss data by deep learning

  2025cites this paper
• Advances in Machine-Learning-Driven CO2 Geological Storage: A Comprehensive Review and Outlook

  2025cites this paper
• Modeling residue formation from crude oil oxidation using tree-based machine learning approaches

  2025cites this paper
• Leveraging advanced ensemble learning techniques for methane uptake prediction in metal organic frameworks

  2025cites this paper
• Modeling the Interfacial Dynamics of Carbonated Water-Crude Oil Systems Using Intelligent Boosting Algorithms

  2025cites this paper
• Assessing proxy and AI models performance in waterflooding optimization

  2025cites this paper
• A point-interval prediction framework for minimum miscibility pressure of CO2-crude oil systems

  2025cites this paper
• A Meta-Ensemble Machine Learning Strategy to Assess Groundwater Holistic Vulnerability in Coastal Aquifers

  2024cites this paper
• Machine learning approaches for assessing stability in acid-crude oil emulsions: application to mitigate formation damage

  2024cites this paper
• Toward reliable prediction of CO2 uptake capacity of metal–organic frameworks (MOFs): implementation of white-box machine learning

  2024cites this paper
• Predictive modeling of CO2 solubility in piperazine aqueous solutions using boosting algorithms for carbon capture goals

  2024cites this paper
• Utilizing Artificial Intelligence Techniques for Modeling Minimum Miscibility Pressure in Carbon Capture and Utilization Processes: A Comprehensive Review and Applications

  2024cites this paper
• Effects of surfactants on droplet deformation and breakup in water-in-oil emulsions under DC electric field: A molecular dynamics study

  2024cites this paper
• Retrieving hourly seamless PM2.5 concentration across China with physically informed spatiotemporal connection

  2024cites this paper
• RNN-based CO2 minimum miscibility pressure (MMP) estimation for EOR and CCUS applications

  2024cites this paper
• Investigation on the condensate gas composition variation and wax deposition mechanism during temperature-induced phase transition process

  2024cites this paper
• Physics-enhanced machine-learning-based prediction of fluid properties for gas injection – Focus on CO2 injection

  2024cites this paper
• Interpretable Machine Learning for Prediction of Minimum Miscibility Pressure in CO2-Oil System Considering Nano-Confinement Effect

  2024cites this paper
• Unraveling Partial Coalescence Between Droplet and Oil-Water Interface in Water-in-Oil Emulsions under a Direct-Current Electric Field via Molecular Dynamics Simulation.

  2024cites this paper
• New models for estimating minimum miscibility pressure of pure and impure carbon dioxide using artificial intelligence techniques

  2024cites this paper
• Comprehensive Review of the Determination and Reduction of the Minimum Miscibility Pressure during CO2 Flooding

  2024cites this paper
• Unveiling the Effect of Complex Components on CO2-Oil Minimum Miscibility Pressure: Insights from Deep Convolutional Neural Networks

  2024cites this paper
• Holistic prediction of hydrocarbon fluids pressure–volume-temperature laboratory data using machine learning

  2024cites this paper
• A Comprehensive Summary of the Application of Machine Learning Techniques for CO2-Enhanced Oil Recovery Projects

  2024cites this paper
• CO2 sequestration in subsurface geological formations: A review of trapping mechanisms and monitoring techniques

  2024cites this paper
• A Review of Intelligent Decision-Making Strategy for Geological CO2 Storage: Insights from Reservoir Engineering

  2024cites this paper
• A Review of Predictive Analytics Models in the Oil and Gas Industries

  2024cites this paper
• Leveraging machine learning in porous media

  2024cites this paper
• Echo State Neural Network Based on an Improved Gray Wolf Algorithm Predicts Porosity through Logging Data

  2023cites this paper
• Modeling of asphaltic sludge formation during acidizing process of oil well reservoir using machine learning methods

  2023cites this paper
• Synergistic effects of silica aerogels and SDS nanofluids on CO2 sequestration and enhanced oil recovery

  2023cites this paper
• Predicting minimum miscible pressure in pure CO2 flooding using machine learning: Method comparison and sensitivity analysis

  2023cites this paper
• Prediction of Key Parameters in the Design of CO2 Miscible Injection via the Application of Machine Learning Algorithms

  2023cites this paper