{"id":"W4390502498","doi":"10.3390/pr12010110","title":"Oil Production Optimization Using Q-Learning Approach","year":2024,"lang":"en","type":"article","venue":"Processes","topic":"Reservoir Engineering and Simulation Methods","field":"Engineering","cited_by":16,"is_retracted":false,"has_abstract":true,"ca_institutions":"University Canada West","funders":"Alzahra University","keywords":"Oil production; Eclipse; Production (economics); Petroleum engineering; Production rate; Computer science; Oil well; Production system (computer science); Mathematical optimization; Process engineering; Engineering; Mathematics","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":[0.002164324,0.0009239933,0.001464242,0.0007750756,0.0004779014,0.001007137,0.001108083,0.001136041,0.002471403],"category_scores_gemma":[0.003481098,0.0005624603,0.00068744,0.0007272405,0.0008409915,0.0009141676,0.0008621374,0.0009616585,0.000323176],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001115064,"about_ca_system_score_gemma":0.002142442,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.007144493,"about_ca_topic_score_gemma":0.003936063,"domain_scores_codex":[0.9992268,0.0003338929,0.00003722233,0.000148762,0.0001698186,0.00008351303],"domain_scores_gemma":[0.9980165,0.001447424,0.0001367205,0.00005761957,0.0002994376,0.00004227064],"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":[0.00002633305,0.00003963666,0.0002667601,0.00004931207,0.00002306863,0.00002317425,0.00001735837,0.9771552,0.0004229916,0.002526087,0.0001747408,0.01927521],"study_design_scores_gemma":[0.000006606689,0.00001761266,0.00002860129,0.000003228188,0.000003070052,0.000003093042,0.000002156059,0.9985013,0.000183868,0.001122952,0.0001252544,0.000002306411],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.009148545,0.0002178882,0.9882908,0.00011662,0.00001730752,0.00006630724,0.0000219571,0.0001668292,0.001953747],"genre_scores_gemma":[0.7001733,0.0004032428,0.2956017,0.0001913823,0.00004622401,0.0003589591,0.0001185466,0.00006992763,0.00303667],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.007144493,"threshold_uncertainty_score":0.01420581,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02673525476121831,"score_gpt":0.2747516601805364,"score_spread":0.2480164054193181,"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."}}