{"id":"W4402787921","doi":"10.1016/j.seppur.2024.129826","title":"Nanoconfinement effect on the miscible behaviors of CO2/shale oil/surfactant systems in nanopores: Implications for CO2 sequestration and enhanced oil recovery","year":2024,"lang":"en","type":"article","venue":"Separation and Purification Technology","topic":"Enhanced Oil Recovery Techniques","field":"Engineering","cited_by":35,"is_retracted":false,"has_abstract":false,"ca_institutions":"University of Calgary","funders":"Natural Sciences and Engineering Research Council of Canada; National Natural Science Foundation of China; Energi Simulation","keywords":"Oil shale; Petroleum engineering; Enhanced oil recovery; Pulmonary surfactant; Nanopore; Shale oil; Carbon sequestration; Chemical engineering; Shale gas; Materials science; Environmental science; Chemistry; Geology; Waste management; Carbon dioxide; Engineering; Organic chemistry","routes":{"ca_aff":true,"ca_fund":true,"ca_venue":false,"about_ca":false,"invisible_to_affiliation_only":false},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0001342161,0.0001764483,0.0001531597,0.000117708,0.0002009335,0.0002407631,0.000163143,0.0001922218,0.001252407],"category_scores_gemma":[0.0003666535,0.00009500844,0.00009927079,0.0001033784,0.0002513967,0.0003518424,0.0001772073,0.0003207536,0.0001238751],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0004031486,"about_ca_system_score_gemma":0.0002599853,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00365341,"about_ca_topic_score_gemma":0.005247322,"domain_scores_codex":[0.9998963,0.000008567466,0.000006966483,0.00002849413,0.00003300894,0.00002674936],"domain_scores_gemma":[0.9998185,0.00005643175,0.00003824868,0.00001428589,0.00005468003,0.00001789433],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"bench_or_experimental","study_design_gemma":"observational","study_design_scores_codex":[0.0001096564,0.00001747956,0.000332381,0.00003822183,0.000005713981,0.00003730948,0.00003963276,0.0002894924,0.9976484,0.0002385036,0.00005353217,0.001189717],"study_design_scores_gemma":[0.00000276161,0.00003123873,0.001034673,0.000001788808,0.00000381568,0.00001196176,0.0000237553,0.001994036,0.9966146,0.00003169901,0.0002455515,0.000004120921],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9980175,0.0002788309,0.0008077664,0.00004393582,0.00000919211,0.000005809357,0.00008485458,0.00003194135,0.0007201198],"genre_scores_gemma":[0.9992875,0.0001054638,0.000294094,0.00001134171,0.000001293404,0.00000406331,0.00003384334,0.000004831959,0.000257591],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.00365341,"threshold_uncertainty_score":0.007264256,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01192819575644666,"score_gpt":0.2798504855463256,"score_spread":0.267922289789879,"validation_status":"score_only:v0-immature-baseline","note":"Baseline scores from an immature model (maturity gate not passed). Scores rank; they never assert a category."}}