{"id":"W4252839646","doi":"10.2118/07-01-06","title":"Understanding SAGD Producer Wellbore/Reservoir Damage Using Numerical Simulation","year":2007,"lang":"en","type":"article","venue":"Journal of Canadian Petroleum Technology","topic":"Reservoir Engineering and Simulation Methods","field":"Engineering","cited_by":5,"is_retracted":false,"has_abstract":true,"ca_institutions":"Husky Energy (Canada); University of Alberta","funders":"University of Alberta","keywords":"Injector; Wellbore; Computer simulation; Petroleum engineering; Production rate; Production (economics); Oil production; Pressure drop; Environmental science; Oil field; Geology; Geotechnical engineering; Engineering; Mechanics; Simulation; Mechanical engineering; Process engineering","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":[0.0005419367,0.0004248194,0.0005641809,0.0009058581,0.0007389607,0.00107123,0.0007947255,0.001268529,0.001829233],"category_scores_gemma":[0.00168787,0.0004570366,0.0004610621,0.0006287495,0.0007693971,0.0007656639,0.0005805934,0.0005336572,0.0002051],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00202486,"about_ca_system_score_gemma":0.001042986,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.03891779,"about_ca_topic_score_gemma":0.02698338,"domain_scores_codex":[0.9997854,0.00005638415,0.00001598932,0.00003170819,0.00007189503,0.0000387781],"domain_scores_gemma":[0.9991885,0.0004671742,0.0001016035,0.00006446656,0.0001287652,0.00004951287],"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":[0.00004060398,0.00006185631,0.01423646,0.00002374482,0.00001282752,0.0001245316,0.00008189028,0.9802313,0.002406342,0.0002870279,0.00007694435,0.002416507],"study_design_scores_gemma":[0.000006124118,0.00002662025,0.002369216,0.000003598968,0.000003120736,0.00001769578,0.00007436849,0.9963438,0.000886781,0.0001311561,0.0001307623,0.000006814144],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9766421,0.0001016088,0.01726648,0.0001694928,0.000009724314,0.00007819955,0.0003245897,0.0002328173,0.005174838],"genre_scores_gemma":[0.9934268,0.00004235872,0.006016118,0.000009613843,0.000001616603,0.00002137908,0.00008065979,0.00001602556,0.0003853153],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.03891779,"threshold_uncertainty_score":0.0773825,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.06516732184363339,"score_gpt":0.2895719806279204,"score_spread":0.224404658784287,"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."}}