{"id":"W1979079776","doi":"10.2118/148803-ms","title":"Numerical Simulation of SAGD with Vertical Slimholes","year":2011,"lang":"en","type":"article","venue":"Canadian Unconventional Resources Conference","topic":"Enhanced Oil Recovery Techniques","field":"Engineering","cited_by":5,"is_retracted":false,"has_abstract":true,"ca_institutions":"Alberta Innovates","funders":"","keywords":"Oil sands; Steam-assisted gravity drainage; Petroleum engineering; Oil shale; Asphalt; Geology; Drilling; Directional drilling; Steam injection; Saturation (graph theory); Permeability (electromagnetism); Oil in place; Petroleum; Engineering; Materials science","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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0003704154,0.0004548157,0.0006552615,0.0005802366,0.0007324241,0.001022323,0.0009319125,0.002088579,0.003596602],"category_scores_gemma":[0.002059874,0.0003896659,0.0006276317,0.0006062184,0.001189583,0.0004719853,0.0008034004,0.0007678402,0.0001890156],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001245053,"about_ca_system_score_gemma":0.001177462,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.03256712,"about_ca_topic_score_gemma":0.01825462,"domain_scores_codex":[0.9997653,0.00004136999,0.00001427463,0.00003467395,0.00005646847,0.00008779946],"domain_scores_gemma":[0.9985949,0.0008422045,0.0001291579,0.00005996722,0.0002336761,0.0001400842],"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":[0.00006693297,0.00005785273,0.003212409,0.00002637057,0.00001027505,0.0001157438,0.00003754618,0.9938758,0.001027443,0.0006194687,0.0001461036,0.0008040203],"study_design_scores_gemma":[0.00002289806,0.00003438577,0.0008842369,0.000007364092,0.000003967885,0.00001025351,0.00006862836,0.998216,0.0003803005,0.0001568773,0.0002082406,0.000006955028],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9750828,0.0001183467,0.01056391,0.0003509839,0.00006220658,0.00009245527,0.000910755,0.0002143692,0.01260425],"genre_scores_gemma":[0.9949356,0.00003382632,0.003676082,0.00003412337,0.000003714214,0.00004627321,0.0002379719,0.00001517885,0.001017148],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.03256712,"threshold_uncertainty_score":0.06475508,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02616150436678568,"score_gpt":0.2068699831484097,"score_spread":0.180708478781624,"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."}}