{"id":"W4200097814","doi":"10.2118/204705-ms","title":"Artificial Intelligence Aided Geologic Facies Classification in Complex Carbonate Reservoirs","year":2021,"lang":"en","type":"article","venue":"","topic":"Reservoir Engineering and Simulation Methods","field":"Engineering","cited_by":2,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Facies; Workflow; Reservoir modeling; Artificial intelligence; Computer science; Reservoir engineering; Machine learning; Data mining; Pattern recognition (psychology); Geology; Database; Petroleum engineering","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":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0002714387,0.0001191539,0.0001637904,0.0001236481,0.00002878157,0.0000427065,0.0001269717,0.00009052959,0.0003015356],"category_scores_gemma":[0.0001943274,0.0001208183,0.00004087641,0.0004776588,0.00002683898,0.00009104844,0.00003058522,0.000179065,0.00003985508],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00005960452,"about_ca_system_score_gemma":0.00001248251,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00002280433,"about_ca_topic_score_gemma":0.0001013052,"domain_scores_codex":[0.9990492,0.00007169656,0.0003373323,0.0001812743,0.0001386996,0.0002217913],"domain_scores_gemma":[0.9995167,0.0001531489,0.00001434875,0.0002137236,0.00005172951,0.00005030576],"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":[0.000003015886,0.000009946656,0.000912871,0.00002478418,0.000006212681,0.0000102973,0.0001195518,0.9728768,0.01694194,0.006059725,0.00006902734,0.002965864],"study_design_scores_gemma":[0.00003833654,0.00000570677,0.01864877,0.000007364585,0.000001948009,0.000002435191,0.0003080568,0.9618595,0.01199618,0.005667284,0.001322537,0.0001419149],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.6146941,0.000198324,0.3651246,0.0003967093,0.0001894036,0.00009687715,0.000003500237,0.0004568978,0.01883967],"genre_scores_gemma":[0.9684464,0.00007007073,0.03105377,0.0000196687,0.0000346367,0.00001360774,0.00002830338,0.00001564954,0.0003179045],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.3537523,"threshold_uncertainty_score":0.4926829,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.1343080053806781,"score_gpt":0.3250321222467883,"score_spread":0.1907241168661102,"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."}}