{"id":"W2281278043","doi":"10.1016/j.petrol.2016.01.018","title":"A flowing material balance equation for two-phase flowback analysis","year":2016,"lang":"en","type":"article","venue":"Journal of Petroleum Science and Engineering","topic":"Hydraulic Fracturing and Reservoir Analysis","field":"Engineering","cited_by":65,"is_retracted":false,"has_abstract":false,"ca_institutions":"University of Alberta","funders":"Natural Resources Canada; Canadian Natural Resources Limited","keywords":"Petroleum engineering; Oil shale; Shale gas; Natural gas; Fracture (geology); Geology; Imbibition; Material balance; Natural gas field; Shut down; Compressibility; Mechanics; Geotechnical engineering; Engineering; Waste management","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":[0.0009632215,0.0001157857,0.0002733116,0.0006627031,0.00007995985,0.0001015245,0.000202181,0.00003171643,0.00001528807],"category_scores_gemma":[0.0001846777,0.00007646536,0.0001385499,0.0005908193,0.00004157988,0.0005668476,0.00001854305,0.00006989836,0.000001383015],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001140019,"about_ca_system_score_gemma":0.00003350299,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.000003188158,"about_ca_topic_score_gemma":0.000001423263,"domain_scores_codex":[0.9989111,0.000005404399,0.0003257671,0.0001229544,0.0003513269,0.000283446],"domain_scores_gemma":[0.9994736,0.00007178285,0.00004630161,0.0001186864,0.0001374109,0.0001521725],"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":[0.00001161411,0.000006981771,0.0001026538,0.00002329852,0.0001403583,0.000004008944,0.00005261301,0.6856807,0.3114073,0.00001017021,0.00003163708,0.002528663],"study_design_scores_gemma":[0.0009029451,0.00006769401,0.0005796632,0.00006357187,0.0002219411,0.00001555189,0.00002238947,0.9582809,0.03873236,0.00001279572,0.0009608493,0.0001392966],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.6019221,0.00008979841,0.3974892,0.00009579227,0.0003248306,0.00001791847,0.000004813402,0.00002617582,0.00002940351],"genre_scores_gemma":[0.9961171,0.0000569968,0.003451851,0.000007545804,0.0003339186,0.000003070403,6.130505e-7,0.00001154862,0.00001741681],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.394195,"threshold_uncertainty_score":0.3118167,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.007995816123688246,"score_gpt":0.24133969075161,"score_spread":0.2333438746279217,"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."}}