{"id":"W2269916714","doi":"10.2118/178618-pa","title":"Numerical Investigation of Coupling Multiphase Flow and Geomechanical Effects on Water Loss During Hydraulic-Fracturing Flowback Operation","year":2016,"lang":"en","type":"article","venue":"SPE Reservoir Evaluation & Engineering","topic":"Hydraulic Fracturing and Reservoir Analysis","field":"Engineering","cited_by":26,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Alberta","funders":"University of Alberta","keywords":"Imbibition; Petroleum engineering; Hydraulic fracturing; Fracture (geology); Geology; Geotechnical engineering; Multiphase flow; Water injection (oil production); Capillary pressure; Permeability (electromagnetism); Porous medium; Mechanics; Porosity; 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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0002948736,0.00040469,0.0005400957,0.0005171908,0.0005611058,0.0006311231,0.0006634184,0.001310148,0.001926397],"category_scores_gemma":[0.001150537,0.0002885646,0.0005097492,0.0003959708,0.0007183011,0.0004558751,0.0004443503,0.000500293,0.0001123964],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.000812628,"about_ca_system_score_gemma":0.0006450157,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.01804744,"about_ca_topic_score_gemma":0.007934904,"domain_scores_codex":[0.9998842,0.00001977767,0.000007264207,0.00001818207,0.00002745125,0.00004308255],"domain_scores_gemma":[0.9993316,0.0003937338,0.0001090087,0.00003786081,0.00006584535,0.0000619859],"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":[0.0002138456,0.0002034298,0.007575899,0.00005013118,0.00002200743,0.0002668834,0.00007760325,0.9771688,0.009998384,0.0008523516,0.0001634766,0.003407115],"study_design_scores_gemma":[0.00001564754,0.00006039505,0.001336724,0.000003115283,0.000005173157,0.00001187891,0.00003302185,0.9971337,0.001253758,0.00007850459,0.00006231416,0.000005844232],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9927111,0.00004734353,0.003978678,0.00008021802,0.00001219919,0.0000244747,0.0001479032,0.00008755289,0.00291055],"genre_scores_gemma":[0.9981802,0.0000186976,0.001261804,0.00001109966,0.000001716651,0.00001494024,0.00005458752,0.000007959007,0.0004491232],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.01804744,"threshold_uncertainty_score":0.0358848,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01028834798798457,"score_gpt":0.2335130748365944,"score_spread":0.2232247268486099,"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."}}