{"id":"W2328253410","doi":"10.2118/175923-ms","title":"Modeling Two-Phase Flowback Data Using an Open Tank Model","year":2015,"lang":"en","type":"article","venue":"","topic":"Hydraulic Fracturing and Reservoir Analysis","field":"Engineering","cited_by":16,"is_retracted":false,"has_abstract":true,"ca_institutions":"Nexen (Canada); University of Alberta","funders":"","keywords":"Petroleum engineering; Shale gas; Fracture (geology); Matrix (chemical analysis); Flow (mathematics); Geology; Oil shale; Production (economics); Phase (matter); Environmental science; Geotechnical engineering; Mechanics; Materials science; Chemistry; 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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0007687646,0.0007112917,0.0007542594,0.0007185671,0.0006220618,0.001247135,0.001906439,0.002618316,0.002973347],"category_scores_gemma":[0.002137819,0.0006582036,0.001146179,0.0006690013,0.001028982,0.001710185,0.000894334,0.00151612,0.0003325389],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001806068,"about_ca_system_score_gemma":0.001246531,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.05713496,"about_ca_topic_score_gemma":0.02216373,"domain_scores_codex":[0.9997898,0.0000434586,0.00001321578,0.00006834645,0.00004556269,0.00003964173],"domain_scores_gemma":[0.9990647,0.0006033318,0.0001147769,0.00003758369,0.0001306291,0.00004885075],"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":[0.00002587203,0.00002555623,0.0007868463,0.00001598173,0.000009397309,0.00005780431,0.00003266059,0.9938559,0.001064672,0.00295187,0.000111457,0.001061972],"study_design_scores_gemma":[0.000002805852,0.000003337654,0.00006099365,7.678018e-7,0.000001590991,0.000002026213,0.000003570033,0.999524,0.00006752753,0.0002762868,0.00005443534,0.000002697124],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.4199062,0.0002957655,0.5649925,0.001067367,0.0001334255,0.0001741465,0.001810433,0.00122265,0.01039756],"genre_scores_gemma":[0.9677148,0.0001481685,0.02236562,0.00009633078,0.00002712102,0.0001995293,0.0005423321,0.00009695178,0.008809152],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.05713496,"threshold_uncertainty_score":0.1136048,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.2037826187014762,"score_gpt":0.381880138473559,"score_spread":0.1780975197720828,"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."}}