{"id":"W2770232211","doi":"10.1016/j.fuel.2017.11.064","title":"Optimization of methane use in cyclic solvent injection for heavy-oil recovery after primary production through experimental and numerical studies","year":2017,"lang":"en","type":"article","venue":"Fuel","topic":"Enhanced Oil Recovery Techniques","field":"Engineering","cited_by":32,"is_retracted":false,"has_abstract":false,"ca_institutions":"University of Alberta","funders":"Natural Sciences and Engineering Research Council of Canada","keywords":"Methane; Propane; Solvent; Enhanced oil recovery; Petroleum engineering; Supercritical fluid; Chemistry; Oil in place; Diffusion; Petroleum; Materials science; Environmental science; Thermodynamics; Organic chemistry; Geology","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":[0.0001022248,0.0001055084,0.0001940326,0.00005727858,0.0000299916,0.00002409131,0.00004549263,0.00006058508,0.000002988984],"category_scores_gemma":[0.0001371491,0.0001088819,0.00003571925,0.00003968113,0.00004293515,0.0008163666,0.00003878913,0.00006241482,3.501179e-7],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001531364,"about_ca_system_score_gemma":0.000006544969,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00003695978,"about_ca_topic_score_gemma":0.00001692385,"domain_scores_codex":[0.9994348,0.00001540377,0.0001913199,0.0001722244,0.00007266243,0.0001135331],"domain_scores_gemma":[0.9996482,0.00003726308,0.00006935798,0.0001958614,0.00003588925,0.00001340267],"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":[0.00458615,0.00107212,0.01595451,0.006061032,0.0006971111,0.00001333681,0.009695905,0.4086066,0.4454897,0.0001283815,0.00317226,0.1045229],"study_design_scores_gemma":[0.0008943574,0.0007892404,0.01191046,0.0004849201,0.00004133126,0.00001395246,0.0002987414,0.007572751,0.9759042,0.001098825,0.0005509714,0.0004402326],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9372265,0.003978021,0.05708257,0.00004318497,0.0007938326,0.0003276482,0.00001144988,0.0001581133,0.0003786146],"genre_scores_gemma":[0.9343861,0.001368186,0.06356849,0.00001624031,0.00007477286,0.0004524687,0.00000911698,0.00002755488,0.00009704013],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.5304145,"threshold_uncertainty_score":0.4440075,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.0313424487984136,"score_gpt":0.2967830627702323,"score_spread":0.2654406139718187,"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."}}