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Identifying Co2 Flooding Field Applications for Carbon Sequestration Through Statistical Analysis and Machine Learning Methods

https://doi.org/10.2139/ssrn.5396381
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Statistical and analytical review of worldwide CO2 immiscible field applications
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Identification of CO2 sequestration opportunities: CO2 miscible flooding guidelines
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The history and development of the IEA GHG Weyburn-Midale CO2 Monitoring and Storage Project in Saskatchewan, Canada (the world largest CO2 for EOR and CCS program)
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Analysis of EOR projects and updated screening criteria
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Numerical analysis of carbon dioxide injection into a high permeability layer for CO2-EOR projects
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Mechanism study of the relation between the performance of CO2 immiscible flooding and rock permeability
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Importance of conformance control in reinforcing synergy of CO2 EOR and sequestration
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Estimation of the minimum miscibility pressure for CO2–crude-oil systems by molecular dynamics simulation
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Use of principal component analysis (PCA) and hierarchical cluster analysis (HCA) for multivariate association between bioactive compounds and functional properties in foods: A critical perspective
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Optimization of Miscible CO 2 Water-Alternating-Gas Injection in the Bakken Formation
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A k-Median Algorithm with Running Time Independent of Data Size
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The role of CO2 capture and utilization in mitigating climate change
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Clustering by measuring local direction centrality for data with heterogeneous density and weak connectivity
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Exploiting redundancy in large materials datasets for efficient machine learning with less data
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A dendrite method for cluster analysis
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A Cluster Separation Measure
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Collinearity: a review of methods to deal with it and a simulation study evaluating their performance
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A Comprehensive Review of Thermal Enhanced Oil Recovery: Techniques Evaluation
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A quantitative discriminant method of elbow point for the optimal number of clusters in clustering algorithm
inferredcites →https://doi.org/10.2118/10292-paopenalex-snapshot
CO2 Flood Performance Evaluation for the Cornell Unit, Wasson San Andres Field
inferredcites →https://doi.org/10.2118/130726-msopenalex-snapshot
Recent Developments and Updated Screening Criteria of Enhanced Oil Recovery Techniques
inferredcites →https://doi.org/10.2118/138786-msopenalex-snapshot
Strategies for Evaluation of the CO2 Miscible Flooding Process
inferredcites →https://doi.org/10.2118/144961-msopenalex-snapshot
Large Scale CO2 Flood Begins Along Texas Gulf Coast
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Modified EOR Screening Criteria as Applied to a Group of Offshore Carbonate Oil Reservoirs
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Case History of Water Pressure Maintenance Operations in the McComb Unit
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Miscibility and Miscible Displacement
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Scientific Research and Field Application of CO2 Immiscible Flooding in Heavy Oil Recovery
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New Approach To Identify Analogous Reservoirs
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A Novel Enhanced-Oil-Recovery Screening Approach Based on Bayesian Clustering and Principal-Component Analysis
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Comprehensive Review of Worldwide CO2 Immiscible Flooding
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Application of Machine Learning and Optimization of Oil Recovery and CO2 Sequestration in the Tight Oil Reservoir
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Carbon Dioxide Flooding
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EOR Screening Criteria Revisited— Part 1: Introduction to Screening Criteria and Enhanced Recovery Field Projects
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Screening Criteria for Application of Carbon Dioxide Miscible Displacement in Waterflooded Reservoirs Containing Light Oil
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EOR Screening Criteria Revisited—Part 2: Applications and Impact of Oil Prices
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Determination and Prediction of CO2 Minimum Miscibility Pressures (includes associated paper 8876 )
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Practical Aspects of CO2 Flooding
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Applied Multivariate Statistical Analysis
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Applied Linear Statistical Models.
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Recent Developments and Updated Screening Criteria of Enhanced Oil Recovery Techniques
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Screening Criteria for Application of Carbon Dioxide Miscible Displacement in Waterflooded Reservoirs Containing Light Oil
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Automatic Method for Determining Cluster Number Based on Silhouette Coefficient
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