{"id":"W1985051277","doi":"10.2118/117704-ms","title":"Effects of Well Placement and Intelligent Completions on SAGD in a Full-Field Thermal-Numerical Model for Athabasca Oil Sands","year":2008,"lang":"en","type":"article","venue":"International Thermal Operations and Heavy Oil Symposium","topic":"Reservoir Engineering and Simulation Methods","field":"Engineering","cited_by":5,"is_retracted":false,"has_abstract":true,"ca_institutions":"Schlumberger (Canada)","funders":"","keywords":"Steam-assisted gravity drainage; Petroleum engineering; Steam injection; Asphalt; Oil sands; Engineering; Production (economics); Oil field; Injector; Waste management; Environmental science; Mechanical engineering","routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":true,"invisible_to_affiliation_only":false},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0001141707,0.0001375261,0.0001739329,0.0001330942,0.00007935542,0.00002561041,0.0000859163,0.00006362468,0.00003629283],"category_scores_gemma":[0.00002709163,0.0001285881,0.0000492326,0.00006172698,0.00002643125,0.00009555797,0.00002472922,0.0001152797,0.000002970726],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00004336049,"about_ca_system_score_gemma":0.00001598824,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00003060621,"about_ca_topic_score_gemma":0.00001210247,"domain_scores_codex":[0.9992669,0.00002601547,0.0002820497,0.0001529183,0.0001368783,0.0001351867],"domain_scores_gemma":[0.9994982,0.0002747337,0.00001780796,0.00008991784,0.0000572287,0.00006212101],"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":[0.0001097837,0.00008044753,0.0001352516,0.00007105318,0.00003826821,0.000001586842,0.000777433,0.9768887,0.0192792,0.001364061,0.00006261251,0.001191634],"study_design_scores_gemma":[0.0008044284,0.0001199692,0.0008356143,0.00007169409,0.000008250782,0.000005705606,0.00001740555,0.9880287,0.009368702,0.00001087888,0.0005983666,0.0001302838],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.84682,0.0002723835,0.1490946,0.0004779247,0.0001914453,0.00009870228,0.00002257513,0.00004139352,0.002980981],"genre_scores_gemma":[0.9892364,0.0006825529,0.008910669,0.00009468623,0.00007196181,0.0001180298,0.00002048854,0.0000209201,0.0008442899],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.1424164,"threshold_uncertainty_score":0.5243669,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01938720689429248,"score_gpt":0.2738283835147878,"score_spread":0.2544411766204953,"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."}}