{"id":"W2029636500","doi":"10.2118/71040-ms","title":"Neural Network Analysis Identifies Production Enhancement Opportunities in the Kaybob Field","year":2001,"lang":"en","type":"article","venue":"","topic":"Hydraulic Fracturing and Reservoir Analysis","field":"Engineering","cited_by":1,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Hydraulic fracturing; Petroleum engineering; Artificial neural network; Production (economics); Computer science; Permeability (electromagnetism); Fracturing fluid; Field (mathematics); Natural gas field; Well stimulation; Fracture (geology); Geology; Environmental science; Reservoir engineering; Artificial intelligence; Engineering; Natural gas; Geotechnical engineering; Mathematics; Economics","routes":{"ca_aff":false,"ca_fund":false,"ca_venue":false,"about_ca":true,"invisible_to_affiliation_only":true},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0003342687,0.0002537978,0.0002071783,0.001115712,0.0004545236,0.0007169963,0.0003873247,0.0003121227,0.00102507],"category_scores_gemma":[0.0008833589,0.0001312061,0.0001205034,0.0006379374,0.000404887,0.0002844558,0.0002250513,0.0002536543,0.00008684388],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.003645573,"about_ca_system_score_gemma":0.001924735,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.5023873,"about_ca_topic_score_gemma":0.6453963,"domain_scores_codex":[0.9998999,0.00001654943,0.000002652116,0.00001729966,0.00002961809,0.00003410703],"domain_scores_gemma":[0.9996185,0.0001178852,0.00004044474,0.000009441527,0.0001664305,0.00004728649],"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":[0.0008777092,0.0002272902,0.2108996,0.00008066391,0.0000563501,0.0004408355,0.0002876948,0.6987249,0.009383116,0.002821672,0.001869327,0.07433079],"study_design_scores_gemma":[0.00002054765,0.00006811929,0.08549873,0.00001046641,0.0000123671,0.00001634256,0.0003996964,0.9102713,0.002332841,0.000735094,0.0006221198,0.00001236685],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9948739,0.00003981744,0.002720904,0.00007406386,0.000002301341,0.00001473588,0.0001141556,0.00003909813,0.002121015],"genre_scores_gemma":[0.9975567,0.00002251829,0.001350317,0.000003646805,5.789033e-7,0.000004330597,0.0001038926,0.000002441993,0.0009555409],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.5023873,"threshold_uncertainty_score":0.9989262,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02386027004028847,"score_gpt":0.2396599746449116,"score_spread":0.2157997046046232,"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."}}