{"id":"W4403590378","doi":"10.2118/221501-ms","title":"Physics Inspired Machine Learning for Reliable Production Forecast in Unconventional Reservoirs","year":2024,"lang":"en","type":"article","venue":"","topic":"Reservoir Engineering and Simulation Methods","field":"Engineering","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"ConocoPhillips (Canada)","funders":"","keywords":"Production (economics); Computer science; Artificial intelligence; Machine learning; Economics","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":[0.000403831,0.0001071217,0.0001127793,0.0001267544,0.00003569324,0.00005139655,0.00005841629,0.00005553758,0.00004022283],"category_scores_gemma":[0.00009916,0.0001046859,0.00006258697,0.0003807056,0.000007762292,0.0002240193,0.00001151381,0.0002018029,0.00001337876],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00007836388,"about_ca_system_score_gemma":0.00001124427,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00001803993,"about_ca_topic_score_gemma":0.00001799903,"domain_scores_codex":[0.9993261,0.00001558731,0.000194569,0.0001744283,0.0001093759,0.000179948],"domain_scores_gemma":[0.9997587,0.00008675698,0.000007394619,0.00008702916,0.00002827521,0.00003179732],"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":[0.000007689131,0.00000660028,0.0006069355,0.000306719,0.00001618113,0.000001099689,0.00007370564,0.9920104,0.001177035,0.001555508,0.000763769,0.003474402],"study_design_scores_gemma":[0.0001988409,0.00001995109,0.0002198066,0.00007796758,0.000004492425,0.000001528416,0.00001338255,0.9573883,0.002376479,0.002033917,0.03754869,0.0001166775],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.2454689,0.001080387,0.7473486,0.0002436852,0.00131755,0.0003811046,0.000005961759,0.001280137,0.002873665],"genre_scores_gemma":[0.9482786,0.00006551533,0.04386118,0.000004113922,0.0003443462,0.00009826379,0.00007005737,0.00006169834,0.007216221],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.7034874,"threshold_uncertainty_score":0.4268966,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03113247857145979,"score_gpt":0.2806394526907103,"score_spread":0.2495069741192505,"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."}}