{"id":"W2090781562","doi":"10.2118/170042-ms","title":"A New Semi-analytical Model for Predicting Steam Pressure and Temperature in Annuli","year":2014,"lang":"en","type":"article","venue":"SPE Heavy Oil Conference-Canada","topic":"Reservoir Engineering and Simulation Methods","field":"Engineering","cited_by":6,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Calgary","funders":"","keywords":"Vapor quality; Pressure drop; Pressure gradient; Steam injection; Heat transfer; Work (physics); Mechanics; Thermodynamics; Temperature gradient; Flow (mathematics); Wellbore; Petroleum engineering; Heat transfer coefficient; Engineering; Physics","routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":false,"invisible_to_affiliation_only":false},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0001876895,0.0001926514,0.0002978441,0.00005115359,0.00004475029,0.00005733808,0.0001280828,0.0001213339,0.00002140714],"category_scores_gemma":[0.0002088247,0.0001917335,0.00002570691,0.0001137037,0.00001021417,0.00008403638,0.00002082292,0.0002915339,2.413439e-7],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00007294257,"about_ca_system_score_gemma":0.0005717856,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.2827798,"about_ca_topic_score_gemma":0.8624439,"domain_scores_codex":[0.9989238,0.00003147598,0.0002647887,0.0002270353,0.0002275412,0.0003253083],"domain_scores_gemma":[0.9992817,0.000207099,0.00002018492,0.0002048847,0.00006598228,0.0002201399],"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":[0.00001311277,0.000002234576,0.0008173783,0.0002046755,0.00002836903,0.000001219104,0.0001118733,0.9871567,0.00007481044,0.0006578001,0.006567064,0.004364731],"study_design_scores_gemma":[0.0005716934,0.00001319731,0.0008490611,0.00007056069,0.00002191512,0.000001848265,0.00004061343,0.9825641,0.0001102653,0.0001945149,0.01536037,0.0002018917],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.7024935,0.001457317,0.2790491,0.002266797,0.001040879,0.0004456158,0.000203152,0.0003698846,0.01267379],"genre_scores_gemma":[0.986222,0.00003150678,0.01020351,0.00007161946,0.0001416239,0.00001316388,0.00001365901,0.00003098539,0.003271946],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.5796641,"threshold_uncertainty_score":0.7818666,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01898289898122729,"score_gpt":0.2415801744226048,"score_spread":0.2225972754413775,"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."}}