{"id":"W2327527021","doi":"10.2118/179668-ms","title":"Simulation and Optimization of CO2 Huff-and-Puff Processes in Tight Oil Reservoirs","year":2016,"lang":"en","type":"article","venue":"SPE Improved Oil Recovery Conference","topic":"Enhanced Oil Recovery Techniques","field":"Engineering","cited_by":46,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Calgary","funders":"Natural Sciences and Engineering Research Council of Canada","keywords":"Tight oil; Petroleum engineering; Tight gas; Oil production; Permeability (electromagnetism); Water flooding; Environmental science; Oil in place; Geology; Hydraulic fracturing; Petroleum; Engineering; Waste management; Oil shale; Chemistry","routes":{"ca_aff":true,"ca_fund":true,"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":[0.0001921908,0.0002102923,0.0002889196,0.0001934255,0.00002503246,0.0000452093,0.0001335832,0.0001692819,0.00005175536],"category_scores_gemma":[0.000637979,0.0001776142,0.00002390614,0.0002480225,0.00009060667,0.0007391939,0.00005736609,0.0001199557,0.000002637673],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00007971771,"about_ca_system_score_gemma":0.00009041338,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00004546338,"about_ca_topic_score_gemma":0.0002547353,"domain_scores_codex":[0.9988849,0.00003407837,0.0003933719,0.000301263,0.000139231,0.000247145],"domain_scores_gemma":[0.9989367,0.0004585713,0.0001108395,0.0002276579,0.0002007202,0.00006557666],"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":[0.0001764111,0.00004492533,0.00131768,0.00160589,0.00003792878,0.00000282117,0.0003305466,0.2706877,0.1165417,0.0002338402,0.00003283842,0.6089877],"study_design_scores_gemma":[0.001767288,0.0004087903,0.001134121,0.002303615,0.00003497881,0.000005194431,0.00007846491,0.689264,0.2985822,0.00430491,0.001191455,0.0009249547],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.8348933,0.0008729524,0.1504235,0.0001853735,0.0002487507,0.0001699014,0.0000698247,0.0004614133,0.01267495],"genre_scores_gemma":[0.9797041,0.00731164,0.01207648,0.00001430872,0.00002602899,0.0000384002,0.000007742377,0.00003763853,0.0007836426],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.6080628,"threshold_uncertainty_score":0.7242899,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01428094724018557,"score_gpt":0.2415964333063573,"score_spread":0.2273154860661717,"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."}}