{"id":"W1203413285","doi":"10.2118/174412-ms","title":"Physical and Numerical Simulations of Subsurface Upgrading using Solvent Deasphalting in a Heavy Crude Oil Reservoir","year":2015,"lang":"en","type":"article","venue":"SPE Canada Heavy Oil Technical Conference","topic":"Petroleum Processing and Analysis","field":"Chemistry","cited_by":10,"is_retracted":false,"has_abstract":true,"ca_institutions":"Acceleware (Canada)","funders":"Shandong Academy of Sciences","keywords":"Asphaltene; Propane; Petroleum engineering; Light crude oil; Petroleum; Fraction (chemistry); Steam injection; Solvent; Environmental science; Synthetic crude; Enhanced oil recovery; Crude oil; Chemistry; Pulp and paper industry; Geology; Shale oil; Chromatography; Organic chemistry; Engineering","routes":{"ca_aff":true,"ca_fund":false,"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":[0.0001774229,0.000353711,0.0005447634,0.0003486702,0.0004822963,0.0005118186,0.0005541751,0.000897616,0.001539025],"category_scores_gemma":[0.0004868785,0.0002862757,0.0005191433,0.0003644612,0.0006293587,0.00037104,0.0004396093,0.0004890896,0.00009833823],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0008377738,"about_ca_system_score_gemma":0.0006323345,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.01302129,"about_ca_topic_score_gemma":0.006490972,"domain_scores_codex":[0.9999037,0.00001510795,0.000005604734,0.00001460915,0.0000233062,0.0000376478],"domain_scores_gemma":[0.9996666,0.000182426,0.00003986662,0.00002446739,0.0000449463,0.00004167937],"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":[0.000106409,0.00008193614,0.002742794,0.00002154595,0.000009650253,0.0001654408,0.00003451755,0.9883538,0.007054472,0.0003949894,0.00005262309,0.0009817716],"study_design_scores_gemma":[0.00002115095,0.00008470962,0.001102413,0.000002266832,0.000003750027,0.00001083186,0.00003850722,0.9966434,0.001901057,0.00009747721,0.000088867,0.000005609511],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9950258,0.00002161004,0.002280334,0.00005064376,0.000006426645,0.00002034215,0.0001290565,0.00005008315,0.002415755],"genre_scores_gemma":[0.9978676,0.0000219281,0.001369237,0.000006780736,0.000001090314,0.00002107407,0.00006807837,0.000006006804,0.0006382104],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.01302129,"threshold_uncertainty_score":0.02589101,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.04796546408959192,"score_gpt":0.2976195702089764,"score_spread":0.2496541061193845,"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."}}