{"id":"W4387235867","doi":"10.2118/216366-ms","title":"Wells and Facilities Instrumentation and Automation Towards Achieving Field Intelligence","year":2023,"lang":"en","type":"article","venue":"","topic":"Reservoir Engineering and Simulation Methods","field":"Engineering","cited_by":1,"is_retracted":false,"has_abstract":true,"ca_institutions":"Schlumberger (Canada)","funders":"","keywords":"Wellhead; Wireline; SCADA; Instrumentation (computer programming); Petroleum engineering; Engineering; Well control; Analytics; Environmental geology; Reservoir engineering; Computer science; Geology; Mechanical engineering; Petroleum; Data science; Electrical engineering; Drilling","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":[0.0001459266,0.00006020266,0.00006059696,0.00009023876,0.00003058431,0.00004487248,0.00002443375,0.00003633021,0.00003896605],"category_scores_gemma":[0.00005521826,0.00005843264,0.000008588298,0.0001205149,0.000008260523,0.0001533518,0.00001767355,0.00004894346,0.000009988406],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.000008606925,"about_ca_system_score_gemma":0.000002061108,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00002399812,"about_ca_topic_score_gemma":0.000001656911,"domain_scores_codex":[0.9996681,0.00001160704,0.0001037782,0.00007131548,0.00006236666,0.00008283915],"domain_scores_gemma":[0.9998145,0.00008585665,0.000005514857,0.00005566593,0.000008252766,0.00003024449],"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":[0.000001411636,9.74623e-7,0.001541346,0.0001989486,0.00001152448,6.487865e-7,0.001306909,0.7406394,0.001512063,0.0009996527,0.0002101096,0.253577],"study_design_scores_gemma":[0.00005223935,0.00001341304,0.01412149,0.00001325159,0.000001846195,0.000001255596,0.0004196925,0.9760451,0.008012814,0.0004480106,0.0007956264,0.0000752373],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.7738456,0.00005715118,0.2236098,0.0001026833,0.00009749214,0.00004571929,0.000001258082,0.0004963945,0.001743919],"genre_scores_gemma":[0.9880844,0.0002935216,0.0109806,0.00001281977,0.00001618816,0.000005551179,0.000004710575,0.000007053968,0.0005952029],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.2535017,"threshold_uncertainty_score":0.2382814,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02457187411371648,"score_gpt":0.2861864857887136,"score_spread":0.2616146116749972,"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."}}