{"id":"W2587550001","doi":"10.2118/182669-ms","title":"Uncertainty Quantification for Foam Flooding in Fractured Carbonate Reservoirs","year":2017,"lang":"en","type":"article","venue":"SPE Reservoir Simulation Conference","topic":"Enhanced Oil Recovery Techniques","field":"Engineering","cited_by":12,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"Ministry of Higher Education, Research and Innovation; CMG Reservoir Simulation Foundation","keywords":"Carbonate; Petroleum engineering; Geology; Permeability (electromagnetism); Saturation (graph theory); Enhanced oil recovery; Relative permeability; Geotechnical engineering; Soil science; Environmental science; Materials science; Porosity","routes":{"ca_aff":false,"ca_fund":true,"ca_venue":false,"about_ca":false,"invisible_to_affiliation_only":true},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.001493374,0.0006175352,0.0004304793,0.0009128133,0.0002879106,0.0007296841,0.0006473128,0.000824148,0.0007105008],"category_scores_gemma":[0.007210498,0.0003243245,0.0006669714,0.0003417285,0.0006226819,0.0005560179,0.0007811367,0.0006358221,0.00003829647],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0008807536,"about_ca_system_score_gemma":0.0006651104,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.009720798,"about_ca_topic_score_gemma":0.004292422,"domain_scores_codex":[0.9995165,0.00015288,0.00003090681,0.00008227726,0.0001469632,0.00007056096],"domain_scores_gemma":[0.9947649,0.004207448,0.0004712064,0.0001375697,0.0003361221,0.00008272363],"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":[0.00002599675,0.00001150029,0.001160957,0.00001737265,0.00001136173,0.00002769117,0.00001368016,0.9951026,0.001210803,0.0004667941,0.00001947661,0.001931711],"study_design_scores_gemma":[0.000001420229,0.00001484534,0.0005595142,0.000003842436,0.000003040513,0.000005687056,0.00000522226,0.9980072,0.001034454,0.0003233904,0.00003649226,0.00000480722],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.8262104,0.0002025645,0.1703326,0.0001231993,0.00001295363,0.00008493493,0.0004146087,0.0003731311,0.00224557],"genre_scores_gemma":[0.9925337,0.00001913612,0.0072297,0.000005514266,0.000002367399,0.00002006777,0.00008136507,0.00001282974,0.00009534784],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.009720798,"threshold_uncertainty_score":0.01932842,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.06694016179965195,"score_gpt":0.3443741709552847,"score_spread":0.2774340091556327,"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."}}