{"id":"W2071253754","doi":"10.2118/157825-ms","title":"Use of Acid Gas (CO2/H2S) for the Cyclic Solvent Injection (CSI) Process for Heavy Oil Reservoirs","year":2012,"lang":"en","type":"article","venue":"SPE Heavy Oil Conference Canada","topic":"Reservoir Engineering and Simulation Methods","field":"Engineering","cited_by":16,"is_retracted":false,"has_abstract":true,"ca_institutions":"Alberta Innovates","funders":"","keywords":"Propane; Petrochemical; Greenhouse gas; Enhanced oil recovery; Methane; Petroleum industry; Fossil fuel; Petroleum engineering; Acid gas; Environmental science; Petroleum; Solvent; Sulfur; Waste management; Chemistry; Environmental engineering; Geology; Organic chemistry; Engineering","routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":true,"invisible_to_affiliation_only":false},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0004423153,0.0002362927,0.0003044412,0.0000790514,0.0001503804,0.00005551903,0.0002539228,0.00011258,0.00003070703],"category_scores_gemma":[0.0004562696,0.0002013187,0.0000963565,0.0002238316,0.00003951288,0.0002873559,0.00002109998,0.0001960711,9.902383e-7],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.000208588,"about_ca_system_score_gemma":0.0003644364,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.03001289,"about_ca_topic_score_gemma":0.107213,"domain_scores_codex":[0.9985015,0.00004004965,0.0003975844,0.0001924799,0.000307571,0.000560854],"domain_scores_gemma":[0.9985593,0.0004665432,0.00007567989,0.0004054434,0.000298262,0.0001947958],"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":[0.000116386,0.00002050125,0.0005369246,0.0009767752,0.00008530897,4.202355e-7,0.0003965159,0.9763773,0.001486227,0.0005892897,0.003676336,0.01573803],"study_design_scores_gemma":[0.000807699,0.0001044977,0.0006644736,0.0001787668,0.00007174233,0.000006988083,0.000475419,0.8502897,0.04805841,0.0002919688,0.09856084,0.000489491],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.8484284,0.001239783,0.1447655,0.0012783,0.002689142,0.0004414231,0.0002399308,0.0002229532,0.0006946462],"genre_scores_gemma":[0.9935287,0.0001721157,0.004881353,0.00005986531,0.000271715,0.0002496761,0.00003567082,0.00005946909,0.0007414708],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.1451003,"threshold_uncertainty_score":0.9764463,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.07517367047021854,"score_gpt":0.2996619677025145,"score_spread":0.2244882972322959,"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."}}