{"id":"W2054480272","doi":"10.2523/iptc-16793-ms","title":"Solvent-aided Steam-flooding Strategy Optimization in Thin Heavy Oil Reservoirs","year":2013,"lang":"en","type":"article","venue":"International Petroleum Technology Conference","topic":"Reservoir Engineering and Simulation Methods","field":"Engineering","cited_by":9,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Calgary","funders":"Petroleum Technology Research Centre; University of Calgary","keywords":"Petroleum engineering; Steam injection; Solvent; Steam-assisted gravity drainage; Enhanced oil recovery; Bottom water; Environmental science; Materials science; Light crude oil; Asphalt; Oil sands; Chemistry; Geology; Composite material; 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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0003892068,0.0004258807,0.0005957565,0.0003808727,0.0001793608,0.0004328499,0.0003806512,0.0004221425,0.00071526],"category_scores_gemma":[0.000677113,0.0003815011,0.0004658589,0.0002289044,0.0003297482,0.0002231653,0.0003269855,0.000340962,0.0000697675],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0005679451,"about_ca_system_score_gemma":0.0007196653,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00383064,"about_ca_topic_score_gemma":0.003863505,"domain_scores_codex":[0.9999114,0.00001682693,0.000004975754,0.00001525007,0.00002378109,0.00002769206],"domain_scores_gemma":[0.9996653,0.0002044847,0.00005801729,0.00001128184,0.00004277303,0.00001821699],"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":[0.00009915238,0.00005449241,0.0006573562,0.00007432363,0.0000206707,0.00006706287,0.00001818735,0.9663163,0.02767955,0.0005617406,0.00004860027,0.004402625],"study_design_scores_gemma":[0.00001424555,0.0001480935,0.0003070468,0.000003226061,0.00001226117,0.000005367984,0.00001131684,0.9903351,0.008894212,0.0001326745,0.0001311494,0.000005313977],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9458467,0.000286994,0.05113616,0.0000758432,0.00001113744,0.00005565342,0.0000720953,0.000107156,0.002408297],"genre_scores_gemma":[0.9858738,0.00007469815,0.01343916,0.000009053526,0.00000142414,0.00004196933,0.00003025418,0.00000929446,0.0005202658],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.00383064,"threshold_uncertainty_score":0.007616699,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02103332624134155,"score_gpt":0.2642817581704967,"score_spread":0.2432484319291552,"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."}}