{"id":"W2077167769","doi":"10.2118/157900-ms","title":"Optimal Grid System Design for SAGD Simulation","year":2012,"lang":"en","type":"article","venue":"SPE Heavy Oil Conference Canada","topic":"Reservoir Engineering and Simulation Methods","field":"Engineering","cited_by":12,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"Inha University","keywords":"Grid; Sensitivity (control systems); Steam-assisted gravity drainage; Process (computing); Computer science; Computer simulation; Reservoir simulation; Petroleum engineering; Simulation; Oil sands; Geology; Engineering; Materials science; Mathematics; Asphalt; Geometry; Electronic engineering","routes":{"ca_aff":false,"ca_fund":false,"ca_venue":false,"about_ca":true,"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":[0.0007778417,0.0004512182,0.000637471,0.0005267047,0.0004944298,0.0008227822,0.0006692389,0.000760588,0.005437444],"category_scores_gemma":[0.002770885,0.0003821272,0.000513609,0.0003885242,0.0004379704,0.0004045449,0.0007106622,0.0007569455,0.0004119021],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.000813348,"about_ca_system_score_gemma":0.0009830142,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.009691762,"about_ca_topic_score_gemma":0.005733625,"domain_scores_codex":[0.9996027,0.0001624255,0.00002079699,0.00004772501,0.0001028714,0.00006349893],"domain_scores_gemma":[0.9986523,0.0007952342,0.00008445766,0.00008044593,0.0003373847,0.00005032531],"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":[0.00004900807,0.00002127428,0.0008829722,0.00004000868,0.000007719803,0.00003415476,0.00002012212,0.9925618,0.001178244,0.001251898,0.0002736888,0.003679054],"study_design_scores_gemma":[0.00000808888,0.00001293809,0.00008641281,0.000002897785,0.000001985184,0.000002981775,0.000009608247,0.9988279,0.0004848073,0.0002713584,0.0002891938,0.000001920116],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.3076961,0.0003800085,0.6656158,0.0005633445,0.000132959,0.000360622,0.0006896362,0.001932248,0.02262936],"genre_scores_gemma":[0.9192857,0.00008007895,0.07865962,0.00004867412,0.000006042875,0.0002118445,0.0002527957,0.00009433519,0.001360961],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.009691762,"threshold_uncertainty_score":0.01927072,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.04898450721773986,"score_gpt":0.2715512379093931,"score_spread":0.2225667306916533,"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."}}