{"id":"W2023640573","doi":"10.2523/iptc-11115-ms","title":"Reservoir Optimization and Monitoring: Mauddud Reservoir - Bahrain Field","year":2007,"lang":"en","type":"article","venue":"All Days","topic":"Reservoir Engineering and Simulation Methods","field":"Engineering","cited_by":6,"is_retracted":false,"has_abstract":true,"ca_institutions":"ConocoPhillips (Canada)","funders":"","keywords":"Workover; Workflow; Infill; Petroleum engineering; Reservoir engineering; Reservoir modeling; Natural gas field; Environmental geology; Field (mathematics); Production (economics); Process (computing); Computer science; Geology; Engineering; Civil engineering; Petroleum; Hydrogeology; Natural gas; Geotechnical 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":[0.0007278912,0.0001635945,0.0001541157,0.000147293,0.00006054503,0.00006022801,0.0001603634,0.0001570856,0.00005115847],"category_scores_gemma":[0.0002232245,0.0001718452,0.000037331,0.0002163853,0.00001486381,0.0002019563,0.00005034192,0.0002298556,0.00000934345],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00004043036,"about_ca_system_score_gemma":0.000005581296,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00002431812,"about_ca_topic_score_gemma":0.000005095559,"domain_scores_codex":[0.9989929,0.00003052717,0.0002613124,0.0001881073,0.0001922368,0.0003349824],"domain_scores_gemma":[0.9990709,0.0003887985,0.0000211572,0.0003219716,0.00004376366,0.000153374],"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":[0.00001153321,0.000005675932,0.001905826,0.00004755865,0.00002392023,0.0000103962,0.0002080806,0.9943417,0.001175893,0.0001524191,0.001172786,0.000944195],"study_design_scores_gemma":[0.0005165532,0.00005565007,0.003509003,0.00004841204,0.00001431853,0.000007106186,0.00009081847,0.9612814,0.01133226,0.0002996083,0.02252355,0.0003212685],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.4865752,0.0006774617,0.5029444,0.0001988815,0.0005838459,0.0001336592,0.000002835017,0.0005148471,0.00836891],"genre_scores_gemma":[0.8470361,0.0002884177,0.1516175,0.00004080741,0.0003448027,0.000008726661,0.00001472026,0.00005801081,0.0005908565],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.360461,"threshold_uncertainty_score":0.7007643,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02821810411844433,"score_gpt":0.2983971017847697,"score_spread":0.2701789976663254,"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."}}