{"id":"W4200338862","doi":"10.2118/204604-ms","title":"Artificial Intelligence Aided Proxy Model for Water Front Tracking in Fractured Carbonate Reservoirs","year":2021,"lang":"en","type":"article","venue":"","topic":"Reservoir Engineering and Simulation Methods","field":"Engineering","cited_by":1,"is_retracted":false,"has_abstract":true,"ca_institutions":"Kootenay Association for Science & Technology","funders":"","keywords":"Reservoir simulation; Carbonate; Permeability (electromagnetism); Geology; Proxy (statistics); Petroleum engineering; Petroleum reservoir; Computer science; Machine learning","routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":false,"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":[0.0002882432,0.0004837536,0.0005013252,0.000452021,0.0002707243,0.0006978475,0.0008760022,0.0009325267,0.001440428],"category_scores_gemma":[0.001172141,0.0003224571,0.0005423322,0.0003589019,0.000455778,0.0005427483,0.0004925602,0.0006163007,0.0001283022],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0008082003,"about_ca_system_score_gemma":0.001070952,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.02984122,"about_ca_topic_score_gemma":0.01447558,"domain_scores_codex":[0.9999082,0.00002114314,0.000006096372,0.00002445781,0.00002136387,0.00001874501],"domain_scores_gemma":[0.9996777,0.0001601681,0.00004499123,0.00002031466,0.00007071921,0.00002621384],"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":[0.00000792124,0.0000053417,0.0002616157,0.000004297218,0.000003221072,0.00001027851,0.000002896534,0.9980387,0.0002390428,0.0003690785,0.00004032052,0.001017392],"study_design_scores_gemma":[6.202122e-7,0.000001320006,0.00002427022,3.475889e-7,4.766211e-7,6.339539e-7,4.073294e-7,0.9998573,0.00004271344,0.00005522531,0.000016134,5.109308e-7],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.4439,0.0004427585,0.5445896,0.000572804,0.00008186101,0.00007755413,0.0007240818,0.001207404,0.008403947],"genre_scores_gemma":[0.9823745,0.0000792135,0.0155993,0.00004272832,0.000009630699,0.00004507711,0.0002568202,0.00002921242,0.001563519],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.02984122,"threshold_uncertainty_score":0.05933505,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.05312828449078756,"score_gpt":0.3131821758649527,"score_spread":0.2600538913741652,"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."}}