{"id":"W2936851328","doi":"10.2118/195253-ms","title":"Application of Flow Diagnostics to Rapid Production Data Integration in Complex Geologic Grids and Dual Permeability Models","year":2019,"lang":"en","type":"article","venue":"SPE Western Regional Meeting","topic":"Reservoir Engineering and Simulation Methods","field":"Engineering","cited_by":10,"is_retracted":false,"has_abstract":true,"ca_institutions":"Impact","funders":"","keywords":"Computer science; Streamlines, streaklines, and pathlines; Computation; Grid; Reservoir simulation; Inverse problem; Tracing; Algorithm; Reservoir modeling; Regularization (linguistics); Synthetic data; Computational science; Mathematical optimization; Data mining; Geology; Mathematics; Engineering; Artificial intelligence; Petroleum engineering","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":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0006097294,0.000108723,0.0001734523,0.0001018257,0.00001650688,0.0000141757,0.0001260358,0.0000597892,0.000003484247],"category_scores_gemma":[0.0002207602,0.0001077299,0.00001504256,0.0001680044,0.00002109354,0.0001995204,0.0000733282,0.0001127565,0.000004615877],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00003702064,"about_ca_system_score_gemma":0.000006551896,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00003667159,"about_ca_topic_score_gemma":0.00003886065,"domain_scores_codex":[0.9991068,0.0000557616,0.0002829458,0.0002715104,0.0001572887,0.0001257244],"domain_scores_gemma":[0.9992856,0.0001871231,0.00003821343,0.0003908741,0.00005858184,0.00003961555],"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":[0.00001130845,0.00001158797,0.03147895,0.00009855876,0.000004121096,2.038552e-7,0.0002513432,0.9538127,0.004366423,0.0000690302,0.0000329059,0.009862836],"study_design_scores_gemma":[0.0001449772,0.00002235875,0.06223797,0.00006996415,0.000004010584,0.000003476377,0.00006083614,0.9362808,0.0004012875,0.0004288245,0.0002433753,0.0001020559],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.8193923,0.0001126593,0.1796977,0.0002167094,0.0001029119,0.0003084662,0.000008930455,0.00006321766,0.00009710219],"genre_scores_gemma":[0.9543168,0.00008503281,0.04530795,0.00001316718,0.00009658626,0.00001470511,0.0001393044,0.00001480079,0.00001163365],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.1349245,"threshold_uncertainty_score":0.4393097,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.07346547224238663,"score_gpt":0.298879147870136,"score_spread":0.2254136756277494,"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."}}