{"id":"W2029307665","doi":"10.2118/02-03-01","title":"Solution-Gas Drive in Heavy Oil: Field Prediction and Sensitivity Studies Using Low Gas Relative Permeability","year":2002,"lang":"en","type":"article","venue":"Journal of Canadian Petroleum Technology","topic":"Reservoir Engineering and Simulation Methods","field":"Engineering","cited_by":27,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Calgary","funders":"","keywords":"Petroleum engineering; Permeability (electromagnetism); Oil field; Relative permeability; Oil production; Environmental science; Natural gas field; Fossil fuel; Gas oil ratio; Geology; Chemistry; Waste management; Geotechnical engineering; Engineering; Natural gas","routes":{"ca_aff":true,"ca_fund":false,"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":[0.0008100596,0.0006349231,0.0005192056,0.0005998093,0.0003702454,0.0004543581,0.0007402587,0.001065138,0.0009409856],"category_scores_gemma":[0.00184685,0.0003111369,0.0006674859,0.0004293945,0.0006392066,0.0005110343,0.0004058662,0.000843117,0.00006461266],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001119592,"about_ca_system_score_gemma":0.0004797278,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.03878958,"about_ca_topic_score_gemma":0.01444004,"domain_scores_codex":[0.9998061,0.00007083738,0.00001047475,0.00003661219,0.00003432791,0.00004161333],"domain_scores_gemma":[0.9968758,0.002618364,0.0001496682,0.00009880185,0.0002028435,0.00005455181],"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":[0.0001194062,0.0001359664,0.00413491,0.00003019526,0.00001698902,0.00007314977,0.00001638075,0.9913762,0.002689498,0.0001375734,0.0000714344,0.001198315],"study_design_scores_gemma":[0.00001873029,0.0001608757,0.001727649,0.000002502851,0.000006998519,0.000008428205,0.00001907996,0.9945816,0.003348117,0.00007177331,0.00004620807,0.00000801753],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.99699,0.00003828077,0.002054219,0.00004880009,0.000004340964,0.00001843359,0.0001548728,0.00006206972,0.000628933],"genre_scores_gemma":[0.9989359,0.00001580128,0.0008227674,0.000006206997,0.000001004071,0.000008711771,0.00007678384,0.000002985307,0.0001299391],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.03878958,"threshold_uncertainty_score":0.07712758,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02154596397194382,"score_gpt":0.2506464024246047,"score_spread":0.2291004384526609,"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."}}