{"id":"W1991605433","doi":"10.2118/170957-ms","title":"Graphical Determination of the Henry's Constant and the Diffusion Coefficient of Gases in Heavy Oils Using Late-Time Pressure-Decay Data","year":2014,"lang":"en","type":"article","venue":"SPE Annual Technical Conference and Exhibition","topic":"Hydrocarbon exploration and reservoir analysis","field":"Engineering","cited_by":6,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Calgary","funders":"","keywords":"Diffusion; Constant (computer programming); Thermal diffusivity; Thermodynamics; Chemistry; Fick's laws of diffusion; Volume (thermodynamics); Gaseous diffusion; Mechanics; Physics; Computer science; Physical chemistry","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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.001018349,0.0007128025,0.0003926447,0.002263521,0.0001855489,0.0007714682,0.0009142669,0.0005895756,0.002365595],"category_scores_gemma":[0.004677825,0.0002929491,0.0006427467,0.0009059716,0.0003992856,0.000916449,0.0005327482,0.000714906,0.0007084798],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0003438265,"about_ca_system_score_gemma":0.0003544176,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001271907,"about_ca_topic_score_gemma":0.0009815155,"domain_scores_codex":[0.9994703,0.0001317411,0.00003311492,0.0001242321,0.0002069633,0.00003368805],"domain_scores_gemma":[0.9973814,0.001596897,0.0004052072,0.0001597624,0.0004070679,0.00004961619],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"bench_or_experimental","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.0007812154,0.0002264619,0.01015081,0.0009925278,0.0001110606,0.000485817,0.000420986,0.1636327,0.5306587,0.01700432,0.002149847,0.2733856],"study_design_scores_gemma":[0.00003113274,0.0001705004,0.006163184,0.00003649991,0.00004866941,0.0002812937,0.0000821679,0.8339727,0.150651,0.006084173,0.002360969,0.0001175584],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"methods","genre_scores_codex":[0.06535065,0.000157177,0.9301676,0.0001208074,0.00002731551,0.00005888779,0.0005323946,0.002362665,0.00122262],"genre_scores_gemma":[0.6388268,0.000336766,0.3585489,0.00008265178,0.00002969868,0.0001455044,0.0006038881,0.0001686905,0.001257041],"genre_candidate":"methods","genre_consensus":"methods","teacher_disagreement_score":0.002365595,"threshold_uncertainty_score":0.007913709,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01821569247584531,"score_gpt":0.2484360933413958,"score_spread":0.2302204008655505,"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."}}