{"id":"W4414959713","doi":"10.3390/en18195310","title":"Evaluation of Development Performance and Adjustment Strategies for High Water-Cut Reservoirs Based on Flow Diagnostics: Application in the QHD Oilfield","year":2025,"lang":"en","type":"article","venue":"Energies","topic":"Reservoir Engineering and Simulation Methods","field":"Engineering","cited_by":1,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Calgary","funders":"National Natural Science Foundation of China","keywords":"Infill; Oil field; Oil production; Drilling fluid; Reservoir engineering; Displacement (psychology); Flow (mathematics); Artificial lift","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":[0.001377044,0.0007966263,0.0004399065,0.0009179959,0.0003189715,0.0006698339,0.0005171467,0.0005818084,0.0005362199],"category_scores_gemma":[0.002086012,0.0002243556,0.0002546298,0.0004571224,0.0003525757,0.0007542166,0.0005329184,0.0002986806,0.00006664042],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001101964,"about_ca_system_score_gemma":0.001073944,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.006691121,"about_ca_topic_score_gemma":0.006555111,"domain_scores_codex":[0.9995543,0.0001075583,0.00002846052,0.00007299642,0.0001678353,0.00006875374],"domain_scores_gemma":[0.9990858,0.000385842,0.0001813315,0.00006332588,0.0002222404,0.0000614626],"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":[0.001021303,0.001005452,0.04803982,0.000445703,0.00005128486,0.0004988406,0.0003947291,0.5626561,0.1590019,0.001767493,0.0004657197,0.2246517],"study_design_scores_gemma":[0.0000542078,0.001286227,0.01433473,0.00001884991,0.00003513195,0.00005873436,0.0002347061,0.8696237,0.1133078,0.0003802923,0.000611424,0.00005408273],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9607078,0.0001469092,0.03765509,0.00006310843,0.000007720125,0.0001169932,0.00007708262,0.0002475318,0.0009776899],"genre_scores_gemma":[0.988785,0.00005473007,0.01091837,0.000004999964,8.635518e-7,0.00001972443,0.00002556197,0.000006067789,0.0001846314],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.006691121,"threshold_uncertainty_score":0.01330435,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02030040733185557,"score_gpt":0.277873721427009,"score_spread":0.2575733140951534,"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."}}