{"id":"W2025733610","doi":"10.2118/157795-ms","title":"The Well-Wormhole Model of CHOPS: History Match and Validation","year":2012,"lang":"en","type":"article","venue":"SPE Heavy Oil Conference Canada","topic":"Reservoir Engineering and Simulation Methods","field":"Engineering","cited_by":32,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Calgary","funders":"Petroleum Technology Research Centre; University of Calgary","keywords":"Wormhole; Petroleum engineering; Oil field; Permeability (electromagnetism); Environmental science; Oil production; Field (mathematics); Geology; Computer science; Physics; Chemistry; Mathematics; Theoretical physics","routes":{"ca_aff":true,"ca_fund":true,"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":[0.000719133,0.0006430813,0.0007641824,0.0005477465,0.0005612294,0.0009297636,0.0015339,0.002003851,0.003018803],"category_scores_gemma":[0.002251097,0.0004500742,0.0007937934,0.0003071618,0.0008685373,0.0006891366,0.0007534692,0.001107164,0.0002437452],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00113915,"about_ca_system_score_gemma":0.001445712,"about_ca_topic_candidate":true,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.05680821,"about_ca_topic_score_gemma":0.02343068,"domain_scores_codex":[0.9998299,0.00003787752,0.00001020426,0.00003595767,0.00003821681,0.00004772484],"domain_scores_gemma":[0.9984173,0.0009916885,0.0001295914,0.00008645426,0.0002718893,0.0001030916],"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":[0.00002472536,0.00001936007,0.00125064,0.00001128749,0.000005697651,0.00003465194,0.000009224488,0.9974837,0.0002984153,0.0003159942,0.00006623983,0.0004799913],"study_design_scores_gemma":[0.000005685974,0.000008392762,0.0001596432,0.000002340292,0.000001597168,0.000001880104,0.000005916669,0.9995461,0.0001348092,0.00007907218,0.00005190806,0.000002540462],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9559137,0.0002037865,0.03165992,0.0003208609,0.00005562261,0.0001240576,0.0009917774,0.0006834131,0.0100469],"genre_scores_gemma":[0.9947752,0.00002841383,0.0039304,0.00002397666,0.000003953955,0.00004202272,0.0002297453,0.00003087805,0.0009353641],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.9431918,"threshold_uncertainty_score":0.1129551,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03113377872729266,"score_gpt":0.2326745587819183,"score_spread":0.2015407800546256,"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."}}