{"id":"W4235818278","doi":"10.2118/196979-ms","title":"Towards Field Testing of the Flowback Technology for Multistage-Fractured Horizontal Wells: Modeling-Based Design and Practical Implications","year":2019,"lang":"en","type":"article","venue":"SPE Russian Petroleum Technology Conference","topic":"Hydraulic Fracturing and Reservoir Analysis","field":"Engineering","cited_by":4,"is_retracted":false,"has_abstract":true,"ca_institutions":"Optech (Canada)","funders":"","keywords":"Wellhead; Petroleum engineering; Choke; Fracture (geology); Inflow; Completion (oil and gas wells); Hydraulic fracturing; Geology; Geotechnical engineering; Engineering","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":[0.002005916,0.0004880497,0.0004550165,0.000317147,0.000257102,0.0005391514,0.0009322308,0.000697508,0.001165036],"category_scores_gemma":[0.001311479,0.00023901,0.0003954381,0.0002269271,0.0004230927,0.0005370365,0.0003441113,0.0004597737,0.0001016569],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.000875514,"about_ca_system_score_gemma":0.0009475901,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.003768889,"about_ca_topic_score_gemma":0.002893782,"domain_scores_codex":[0.9995421,0.000182706,0.00002856518,0.00005395334,0.0001291002,0.00006363541],"domain_scores_gemma":[0.9990451,0.0004449043,0.0001385476,0.0001113531,0.0002201752,0.0000398822],"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":[0.0005864905,0.0009404668,0.007001795,0.0004076431,0.00003391968,0.0001970241,0.0001135532,0.8212977,0.1461024,0.00175297,0.0001882771,0.02137768],"study_design_scores_gemma":[0.0001163254,0.004639257,0.004078324,0.00003265229,0.00004528192,0.00003074433,0.0001474169,0.8613069,0.1279978,0.000692609,0.0008748124,0.00003784254],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9029238,0.0001476917,0.09378293,0.0001348956,0.00001580309,0.0005729201,0.0002335239,0.0002267003,0.001961797],"genre_scores_gemma":[0.9769788,0.0000680071,0.02237329,0.000008004263,0.00000153171,0.0001875794,0.0000460314,0.000006746915,0.0003300924],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.003768889,"threshold_uncertainty_score":0.01060843,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01948735040883839,"score_gpt":0.2545627028232985,"score_spread":0.2350753524144601,"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."}}