{"id":"W1979688148","doi":"10.2118/141650-pa","title":"Optimal Parametric Design for Water-Alternating-Gas (WAG) Process in a CO2-Miscible Flooding Reservoir","year":2010,"lang":"en","type":"article","venue":"Journal of Canadian Petroleum Technology","topic":"Reservoir Engineering and Simulation Methods","field":"Engineering","cited_by":141,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Regina","funders":"","keywords":"Petroleum engineering; Environmental science; Parametric statistics; Water injection (oil production); Tabu search; Oil field; Oil production; Water flooding; Injector; Engineering; Mathematics; Mathematical optimization; Statistics","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":[0.001232976,0.0001902829,0.0004023621,0.006361872,0.00006919773,0.00006113652,0.0005780993,0.000350697,0.00002475056],"category_scores_gemma":[0.0007973404,0.0001699261,0.00008689573,0.001240748,0.00004231072,0.0001951586,0.00001634331,0.001019564,0.00000359822],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001852457,"about_ca_system_score_gemma":0.0001869613,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0004413521,"about_ca_topic_score_gemma":0.003975268,"domain_scores_codex":[0.9983871,0.00002801059,0.0005964641,0.0001544921,0.0001906056,0.0006433523],"domain_scores_gemma":[0.9990285,0.0001709148,0.00009545872,0.0002437403,0.0001918384,0.0002695154],"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":[0.00001900281,0.000009524764,0.001027955,0.00005241891,0.00003170377,0.00006478815,0.00008230215,0.9912726,0.006994323,0.0001404225,0.0001896626,0.0001152769],"study_design_scores_gemma":[0.001306712,0.0002193367,0.0001134241,0.00005854539,0.0000165876,0.0002213836,0.0001146378,0.9196668,0.06485936,0.001521297,0.01165782,0.0002441201],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9779506,0.0001753258,0.01987683,0.0009232729,0.0006347099,0.0001381241,0.000005534406,0.00009942768,0.0001961742],"genre_scores_gemma":[0.9134816,0.00003342208,0.08621592,0.000005967825,0.000141565,0.00002586382,0.000001457315,0.00004944397,0.00004476188],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.07160585,"threshold_uncertainty_score":0.6929383,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01911641729243756,"score_gpt":0.2689453027910136,"score_spread":0.2498288854985761,"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."}}