{"id":"W2026659491","doi":"10.2118/135903-ms","title":"Modeling Miscible Injection in Fractured Porous Media using Non-classical Simulation Approaches","year":2010,"lang":"en","type":"article","venue":"SPE Russian Oil and Gas Conference and Exhibition","topic":"Groundwater flow and contamination studies","field":"Environmental Science","cited_by":3,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Alberta","funders":"Natural Sciences and Engineering Research Council of Canada","keywords":"Viscous fingering; Porous medium; Displacement (psychology); Random walk; Mechanics; Computer science; Statistical physics; Computer simulation; Flow (mathematics); Diffusion; Simulation; Mathematics; Geology; Physics; Porosity; Geotechnical engineering; Thermodynamics","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":[0.0001335232,0.0001136913,0.0001233231,0.00005745863,0.000158498,0.00007694477,0.00003121307,0.00009798683,0.00007358396],"category_scores_gemma":[0.00001167506,0.00009713892,0.00001527749,0.00009062147,0.00009848885,0.0003614574,0.00004786317,0.0001613383,0.000008652089],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0000255861,"about_ca_system_score_gemma":0.000008302012,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0005576196,"about_ca_topic_score_gemma":0.002394461,"domain_scores_codex":[0.9992759,0.0000210177,0.0001527451,0.0002604088,0.0001338901,0.0001560973],"domain_scores_gemma":[0.9998115,0.00001783446,0.00003526067,0.00006913911,0.000006923458,0.00005930556],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.00009161184,0.0001491326,0.03237165,0.00005374352,0.00001240352,0.00001133964,0.01026509,0.04136761,0.0362677,0.001356047,0.00001286812,0.8780408],"study_design_scores_gemma":[0.0004612559,0.00003400578,0.03505879,0.00003514201,0.00001396548,0.00001163171,0.0006274231,0.9590313,0.0006192374,0.003801198,0.0001206755,0.0001853654],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9796717,0.00002024405,0.01730186,0.0006376765,0.0000876719,0.00003839311,0.000001701339,0.00001351225,0.002227222],"genre_scores_gemma":[0.9990698,0.00004510761,0.0005984092,0.00004697768,0.0000613458,0.000006697792,0.00001470293,0.000005762243,0.0001511795],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.9176637,"threshold_uncertainty_score":0.396121,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03599194519361753,"score_gpt":0.2397033210328721,"score_spread":0.2037113758392546,"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."}}