{"id":"W2038011599","doi":"10.2118/150633-ms","title":"The Well-Wormhole Model of Cold Production of Heavy Oil Reservoirs","year":2011,"lang":"en","type":"article","venue":"SPE Heavy Oil Conference and Exhibition","topic":"Enhanced Oil Recovery Techniques","field":"Engineering","cited_by":14,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"Petroleum Technology Research Centre; University of Calgary","keywords":"Wormhole; Petroleum engineering; Wellbore; Oil field; Environmental science; Permeability (electromagnetism); Oil production; Stars; Geology; Computer science; Physics; Chemistry","routes":{"ca_aff":false,"ca_fund":true,"ca_venue":false,"about_ca":true,"invisible_to_affiliation_only":true},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0003620942,0.0005709431,0.0008235493,0.0005995955,0.0008072613,0.001290123,0.001946449,0.002640717,0.008028857],"category_scores_gemma":[0.001011841,0.0006184325,0.001044806,0.0004093031,0.00125567,0.001014105,0.001241686,0.0009174712,0.0004832729],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001490542,"about_ca_system_score_gemma":0.001798127,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.05298669,"about_ca_topic_score_gemma":0.02100164,"domain_scores_codex":[0.9998475,0.00003060135,0.000006516591,0.00002636065,0.00002656276,0.00006231136],"domain_scores_gemma":[0.9995205,0.0001756245,0.00006178195,0.00002422962,0.00008646194,0.000131241],"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":[0.00005769023,0.00002601042,0.0006067022,0.00001547251,0.000007898864,0.0001149287,0.0000165364,0.9943845,0.0007866066,0.003359507,0.0002030826,0.0004209962],"study_design_scores_gemma":[0.00001842429,0.00001370804,0.0001170462,0.000003353691,0.000003159414,0.000006197943,0.00001301835,0.9990743,0.0001099216,0.0004518281,0.0001845432,0.00000439337],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.8228927,0.0005892656,0.08763952,0.001270724,0.0002054572,0.000242968,0.001714198,0.0006215653,0.08482359],"genre_scores_gemma":[0.9837301,0.0001189534,0.004048221,0.00005550737,0.00001081546,0.0001198834,0.0002604531,0.00005857159,0.01159749],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.05298669,"threshold_uncertainty_score":0.1053565,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03290795806522365,"score_gpt":0.2321895012881494,"score_spread":0.1992815432229258,"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."}}