{"id":"W2020478195","doi":"10.2118/146898-ms","title":"The Role of Geomechanical Observation in Continuous Updating of Thermal Recovery Simulations Using the Ensemble Kalman Filter","year":2011,"lang":"en","type":"article","venue":"Canadian Unconventional Resources Conference","topic":"Reservoir Engineering and Simulation Methods","field":"Engineering","cited_by":2,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Alberta","funders":"","keywords":"Geomechanics; Ensemble Kalman filter; Petroleum engineering; Kalman filter; Geology; Process (computing); Matching (statistics); Computer science; Data assimilation; Steam injection; Geotechnical engineering; Extended Kalman filter; Meteorology; Artificial intelligence","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":[0.0003892469,0.00009388275,0.0001345303,0.0001108474,0.00008941238,0.00002178081,0.0002326163,0.00006871599,0.0001452069],"category_scores_gemma":[0.0001351503,0.00007283032,0.00006119801,0.0002098894,0.00005881558,0.00009360682,0.00001756207,0.0001441808,0.000001154148],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0000637447,"about_ca_system_score_gemma":0.0001004494,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.006456197,"about_ca_topic_score_gemma":0.01115434,"domain_scores_codex":[0.9991016,0.0000858655,0.0003660822,0.00009602287,0.0001506871,0.0001996976],"domain_scores_gemma":[0.9991896,0.0003267325,0.00008026088,0.0002042812,0.0001302373,0.00006894132],"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":[0.00001388134,0.000006543492,0.01283205,0.00001874643,0.00003322936,0.000001170346,0.0006258871,0.9628316,0.009262492,0.01077576,0.000005174348,0.003593532],"study_design_scores_gemma":[0.0001804873,0.00001667774,0.03234323,0.00007571222,0.00001076209,0.000002594373,0.0005276371,0.9584464,0.002870275,0.004273701,0.001144633,0.0001078876],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9901752,0.000164063,0.006977247,0.00001803495,0.0001016789,0.0001212873,0.00003464482,0.00001439329,0.002393414],"genre_scores_gemma":[0.9974979,0.000006333471,0.002368507,0.000008005413,0.00002642155,0.000005721729,0.00001078589,0.00001343137,0.00006286511],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.01951119,"threshold_uncertainty_score":0.9759882,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.04748558573804919,"score_gpt":0.2435572858585736,"score_spread":0.1960717001205244,"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."}}