{"id":"W2025480057","doi":"10.2118/170150-ms","title":"Kinetic Modeling of the In-Situ Combustion Process for Athabasca Oil Sands","year":2014,"lang":"en","type":"article","venue":"SPE Heavy Oil Conference-Canada","topic":"Petroleum Processing and Analysis","field":"Chemistry","cited_by":24,"is_retracted":false,"has_abstract":true,"ca_institutions":"Nexen (Canada); University of Calgary; Devon Energy (Canada)","funders":"","keywords":"Oil sands; Combustion; Pyrolysis; Cracking; Mass transfer; Chemistry; Steam injection; Hydrocarbon; Decomposition; Chemical reaction; Chemical kinetics; Viscosity; Thermal decomposition; Enhanced oil recovery; Heat transfer; Kinetics; Atmospheric temperature range; Process (computing); Thermodynamics; Chemical engineering; Petroleum engineering; Materials science; Asphalt; Organic chemistry; Geology; Chromatography","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":[0.000139216,0.0001763207,0.0003227684,0.00003493605,0.0001200433,0.00003126302,0.0003686803,0.00008114442,0.00007379223],"category_scores_gemma":[0.0001646661,0.0001412517,0.00007058207,0.000187989,0.0000447661,0.00004796361,0.00003338623,0.0002004902,4.282637e-7],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001451589,"about_ca_system_score_gemma":0.002106174,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.7218883,"about_ca_topic_score_gemma":0.9815166,"domain_scores_codex":[0.9986212,0.00001919024,0.0003686876,0.0002803127,0.0004071826,0.0003033878],"domain_scores_gemma":[0.9991356,0.00007147968,0.0001646543,0.0003037075,0.0002483258,0.0000762365],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.0006453828,0.0005087376,0.03735173,0.01423358,0.0003848311,0.00001062263,0.001635697,0.1186367,0.09112438,0.002263408,0.002393121,0.7308118],"study_design_scores_gemma":[0.00202439,0.00002762489,0.0004428338,0.001536343,0.0001781778,0.00000554611,0.001190471,0.9250119,0.06249582,0.0007779261,0.005680982,0.0006280354],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9377189,0.0001011274,0.0004097324,0.0009826228,0.00009383688,0.000005674117,0.00002746555,0.00001574939,0.0606449],"genre_scores_gemma":[0.9952723,0.00002405489,0.00005621694,0.0001356433,0.00008227968,0.00002035959,0.00002752727,0.00001582696,0.004365828],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.8063751,"threshold_uncertainty_score":0.5760076,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02069276793062134,"score_gpt":0.2352155708288449,"score_spread":0.2145228028982236,"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."}}