{"id":"W2394981510","doi":"10.2118/180702-ms","title":"Experimental Measurements and Correlation of K-value, Viscosity, and Density Data for Mixtures of Light to Heavy Solvents and Athabasca Bitumen with Applications of ES-SAGD Process","year":2016,"lang":"en","type":"article","venue":"SPE Canada Heavy Oil Technical Conference","topic":"Phase Equilibria and Thermodynamics","field":"Engineering","cited_by":5,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Calgary","funders":"Natural Sciences and Engineering Research Council of Canada; Canada Research Chairs; CMG Reservoir Simulation Foundation; University of Calgary","keywords":"Oil sands; Asphalt; Synthetic crude; Hydrocarbon; Petroleum engineering; Viscosity; Solvent; Volume (thermodynamics); Steam injection; Carbon dioxide; Steam-assisted gravity drainage; Methane; Chemistry; Environmental science; Fossil fuel; Shale oil; Materials science; Thermodynamics; Geology; Organic chemistry","routes":{"ca_aff":true,"ca_fund":true,"ca_venue":false,"about_ca":true,"invisible_to_affiliation_only":false},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00009769238,0.0001097423,0.0002215787,0.00003686496,0.00002837402,0.000006502844,0.0001585281,0.00004777034,0.000002007198],"category_scores_gemma":[0.00002657341,0.00008585488,0.000008234632,0.00007493413,0.00008790044,0.00009844587,0.000094116,0.00004058423,2.609541e-8],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00004024051,"about_ca_system_score_gemma":0.0001449779,"about_ca_topic_candidate":true,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.003913079,"about_ca_topic_score_gemma":0.02988443,"domain_scores_codex":[0.999263,0.000009703021,0.0002059075,0.0002081292,0.0001950013,0.0001181915],"domain_scores_gemma":[0.9994301,0.00004587304,0.00006403288,0.0002665017,0.00009300475,0.0001005433],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"bench_or_experimental","study_design_gemma":"bench_or_experimental","study_design_scores_codex":[0.0002706675,0.00008628472,0.00592057,0.0005670219,0.00007684297,7.191689e-7,0.00007765947,0.00003527396,0.983278,0.002463438,0.0001043531,0.007119191],"study_design_scores_gemma":[0.001253668,0.0003214255,0.008332241,0.000583876,0.00007687268,0.00001248658,0.00004977694,0.007545594,0.9805718,0.0008088046,0.0001572755,0.0002861751],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9632723,0.0002514142,0.03551705,0.0001103952,0.00001952481,0.0003320235,0.0003097679,0.0000197861,0.0001677173],"genre_scores_gemma":[0.9982347,0.00002172029,0.001664368,0.000008825199,0.000006358985,0.0000287187,0.00001688072,0.0000114549,0.000006955645],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.0349624,"threshold_uncertainty_score":0.9878176,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02329485762508854,"score_gpt":0.2612771822639187,"score_spread":0.2379823246388301,"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."}}