{"id":"W3216751552","doi":"10.15530/ap-urtec-2021-208389","title":"From Petroleum System Evaluation to Geomodeling, Production Forecasting and Reserves Determination in Unconventional Reservoirs","year":2021,"lang":"en","type":"article","venue":"Proceedings of the 2021 Asia Pacific Unconventional Resources Technology Conference","topic":"Reservoir Engineering and Simulation Methods","field":"Engineering","cited_by":4,"is_retracted":false,"has_abstract":false,"ca_institutions":"University of Calgary","funders":"","keywords":"Petroleum; Petroleum engineering; Production (economics); Oil production; Environmental science; Geology; 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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.001291226,0.0006995522,0.0008180969,0.0006497202,0.0004813757,0.001650002,0.0005478559,0.001014916,0.001360718],"category_scores_gemma":[0.004872212,0.0005616286,0.0003943265,0.0006531831,0.0007268196,0.001357485,0.0007836916,0.0009325507,0.00009784006],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001419588,"about_ca_system_score_gemma":0.002006534,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.03667112,"about_ca_topic_score_gemma":0.02922621,"domain_scores_codex":[0.9995595,0.0002846649,0.00002074038,0.00003522234,0.00006031987,0.0000395816],"domain_scores_gemma":[0.9980693,0.00153201,0.00008612595,0.00005958674,0.0001969952,0.00005592289],"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":[0.00003836717,0.00002102029,0.000824452,0.00001875748,0.00001240965,0.00003121634,0.00001756415,0.9892502,0.0003173916,0.0008763133,0.0001503689,0.008441938],"study_design_scores_gemma":[0.000002007477,0.000007453917,0.0001527472,0.000001854241,0.000002188409,0.000001851091,0.00001007112,0.9986519,0.000242867,0.0008590336,0.00006631425,0.000001766605],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"empirical","genre_gemma":"methods","genre_scores_codex":[0.6824446,0.001130361,0.3016888,0.001947452,0.00007545346,0.0001341414,0.0003032662,0.0004726517,0.0118034],"genre_scores_gemma":[0.985276,0.0002198579,0.01267556,0.00003119214,0.00001090006,0.00003592412,0.00007647131,0.00002782652,0.001646313],"genre_candidate":"methods","genre_consensus":null,"teacher_disagreement_score":0.03667112,"threshold_uncertainty_score":0.07291538,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02757983253664621,"score_gpt":0.2551902518627939,"score_spread":0.2276104193261477,"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."}}