{"id":"W2744532256","doi":"10.1016/j.apenergy.2017.08.029","title":"Feasibility assessment of heavy-oil recovery by CO2 injection after cold production with sands: Lab-to-field scale modeling considering non-equilibrium foamy oil behavior","year":2017,"lang":"en","type":"article","venue":"Applied Energy","topic":"Enhanced Oil Recovery Techniques","field":"Engineering","cited_by":50,"is_retracted":false,"has_abstract":false,"ca_institutions":"University of Alberta","funders":"Natural Sciences and Engineering Research Council of Canada","keywords":"Enhanced oil recovery; Scaling; Petroleum engineering; Oil sands; Environmental science; Chemistry; Thermodynamics; Materials science; Geology; Mathematics; Physics","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":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.0002097598,0.000269694,0.0003566602,0.0001036241,0.0001086325,0.00008621574,0.0001948265,0.0001730894,0.00001449765],"category_scores_gemma":[0.00001972875,0.000284775,0.00006014623,0.0001099352,0.00004745979,0.0003602366,0.00009953114,0.0002066786,0.000001554508],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0002586013,"about_ca_system_score_gemma":0.00005078473,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0005278398,"about_ca_topic_score_gemma":0.0006620419,"domain_scores_codex":[0.9985774,0.00001155634,0.000360592,0.0004722903,0.0002586201,0.0003196101],"domain_scores_gemma":[0.9988278,0.00003157802,0.0001196035,0.0008320143,0.00009173305,0.00009726832],"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":[0.0003323342,0.0001665632,0.002572352,0.0002665954,0.00005934341,0.000003308879,0.00008478198,0.1857224,0.7850211,0.00006653764,0.0008691847,0.02483546],"study_design_scores_gemma":[0.0003718037,0.0002069226,0.000537625,0.0001872464,0.00005024457,0.000005915404,0.00003979035,0.01190376,0.9858835,0.0001051906,0.0002972405,0.0004108048],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9395009,0.00003989353,0.04970621,0.00003071163,0.0003316942,0.0001372979,0.00001586104,0.0003335645,0.009903903],"genre_scores_gemma":[0.9864956,0.00008921536,0.0120815,0.00005047415,0.00009740631,0.0008022092,0.00001232834,0.00007393306,0.0002973748],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.2008623,"threshold_uncertainty_score":0.9999604,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01046813232345708,"score_gpt":0.2459283398068139,"score_spread":0.2354602074833568,"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."}}