{"id":"W2323495553","doi":"10.2118/179535-ms","title":"Application of PC-SAFT Equation of State for CO2 Minimum Miscibility Pressure Prediction in Nanopores","year":2016,"lang":"en","type":"article","venue":"SPE Improved Oil Recovery Conference","topic":"Hydrocarbon exploration and reservoir analysis","field":"Engineering","cited_by":28,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Calgary","funders":"Natural Sciences and Engineering Research Council of Canada","keywords":"Nanopore; Miscibility; Equation of state; Surface tension; Enhanced oil recovery; Thermodynamics; Phase (matter); Materials science; Petroleum engineering; Tight oil; Chemistry; Oil shale; Polymer; Nanotechnology; Geology; Composite material; Physics; 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":[0.0007682651,0.0006055711,0.0007005873,0.0005656804,0.0004584988,0.0005806859,0.001166272,0.001579494,0.001532455],"category_scores_gemma":[0.001985286,0.0003145966,0.0009630297,0.000480357,0.0004634745,0.001161747,0.0004756561,0.001114856,0.0003889672],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0006100418,"about_ca_system_score_gemma":0.001356848,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.009997479,"about_ca_topic_score_gemma":0.004740385,"domain_scores_codex":[0.9997874,0.00004347682,0.0000141147,0.00004144562,0.0000896778,0.00002403979],"domain_scores_gemma":[0.9987728,0.0006271104,0.0001152464,0.00007796317,0.0003773929,0.00002945757],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.00004758949,0.00003802417,0.001599711,0.00008475625,0.00002362362,0.0001385058,0.00004652553,0.975373,0.006886581,0.005985791,0.0004389075,0.009336948],"study_design_scores_gemma":[6.427655e-7,0.000002622852,0.00002402905,8.74996e-7,5.942761e-7,0.000002226429,8.819243e-7,0.9995182,0.0002359456,0.0001639965,0.00004892202,0.000001187318],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.1034223,0.0005972598,0.8893866,0.0003741476,0.00009558455,0.0001426229,0.0004100155,0.0006964227,0.004875069],"genre_scores_gemma":[0.8670843,0.0007041181,0.1268113,0.0001660326,0.00006465628,0.0003383974,0.0005486282,0.0001672056,0.004115243],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.009997479,"threshold_uncertainty_score":0.01987857,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01532007436866363,"score_gpt":0.2271678595257376,"score_spread":0.211847785157074,"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."}}