{"id":"W1977438771","doi":"10.2118/169815-pa","title":"Use of Carbon Dioxide and Hydrocarbon Solvents During the Method of Steam-Over-Solvent Injection in Fractured Reservoirs for Heavy-Oil Recovery From Sandstones and Carbonates","year":2014,"lang":"en","type":"article","venue":"SPE Reservoir Evaluation & Engineering","topic":"Enhanced Oil Recovery Techniques","field":"Engineering","cited_by":26,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Alberta","funders":"Natural Sciences and Engineering Research Council of Canada","keywords":"Solvent; Hydrocarbon; Petroleum engineering; Steam injection; Carbon dioxide; Enhanced oil recovery; Matrix (chemical analysis); Oil field; Waste management; Fossil fuel; Environmental science; Petroleum; Carbonate; Chemistry; Pulp and paper industry; Chemical engineering; Organic chemistry; Geology; Engineering; Chromatography","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":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.001108724,0.0002548277,0.00043511,0.0003236711,0.00003194303,0.00002628168,0.0001333051,0.000169253,0.000003410678],"category_scores_gemma":[0.0008219585,0.0002403944,0.00007690657,0.0002683664,0.00002904254,0.0003130491,0.00007701957,0.0002314072,5.384903e-8],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.000213706,"about_ca_system_score_gemma":0.00002138301,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001160791,"about_ca_topic_score_gemma":0.0004587061,"domain_scores_codex":[0.9983191,0.0001295358,0.0005696017,0.0003065093,0.0004124935,0.0002627882],"domain_scores_gemma":[0.9984377,0.0008884192,0.0001515729,0.0003631675,0.0001049244,0.00005420233],"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":[0.0001113272,0.00001283089,0.002185237,0.0003493139,0.0000758384,2.193272e-7,0.0003019751,0.6784222,0.313247,0.00001805706,0.000002694019,0.005273302],"study_design_scores_gemma":[0.0005892733,0.000085716,0.03147193,0.0003961079,0.00005722209,0.000001657108,0.00003489238,0.6492207,0.316934,0.0009448229,0.00007455878,0.0001891015],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9857798,0.002260635,0.01110576,0.00002984581,0.000186668,0.0004319445,0.0000251887,0.0001127229,0.00006749489],"genre_scores_gemma":[0.9868301,0.001181125,0.01167069,0.00000361709,0.00006133623,0.0001571515,0.00001872106,0.00006577733,0.00001146121],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.0292867,"threshold_uncertainty_score":0.9803,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.0195836105489932,"score_gpt":0.2737481283279904,"score_spread":0.2541645177789972,"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."}}