{"id":"W2066694854","doi":"10.2118/0312-0068-jpt","title":"Distributed Acoustic Sensing for Hydraulic- Fracturing Monitoring and Diagnostics","year":2012,"lang":"en","type":"article","venue":"Journal of Petroleum Technology","topic":"Geotechnical Engineering and Underground Structures","field":"Engineering","cited_by":15,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Hydraulic fracturing; Distributed acoustic sensing; Tight gas; Petroleum engineering; Geology; Microseism; Acoustic sensor; Oil shale; Optical fiber; Fiber optic sensor; Acoustics; Engineering; Telecommunications; Seismology","routes":{"ca_aff":false,"ca_fund":false,"ca_venue":false,"about_ca":true,"invisible_to_affiliation_only":true},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0001459053,0.000150002,0.0002730047,0.0002738654,0.00005744332,0.00002248304,0.0001130664,0.000232302,0.000001052489],"category_scores_gemma":[0.0003997709,0.0001366748,0.00006173323,0.00012324,0.00004061902,0.0001233079,0.00003027614,0.0004691561,4.99054e-7],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00007868838,"about_ca_system_score_gemma":0.000006994847,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":8.768909e-7,"about_ca_topic_score_gemma":2.679347e-7,"domain_scores_codex":[0.9991565,0.000005033617,0.0003048762,0.00006630231,0.0001016157,0.0003657219],"domain_scores_gemma":[0.9994264,0.0002114417,0.00008517538,0.0001164659,0.00005380028,0.000106759],"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":[0.00003752202,0.00005448022,0.009120331,0.000387847,0.0003762081,0.00005424964,0.0001313114,0.8405684,0.1002317,0.0009948707,0.001016234,0.04702684],"study_design_scores_gemma":[0.007543808,0.001810462,0.1008378,0.001577163,0.001500432,0.01028364,0.002382395,0.3384998,0.3079537,0.02523152,0.199115,0.003264339],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.5941906,0.003763911,0.4007843,0.0002047896,0.0007982695,0.00003498718,0.000005008004,0.0001997187,0.00001838595],"genre_scores_gemma":[0.9886956,0.0003649346,0.01043338,0.00000600975,0.0004640459,0.000001774955,8.943169e-7,0.00002982264,0.000003498326],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.5020686,"threshold_uncertainty_score":0.5573435,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.006058910619277988,"score_gpt":0.2159598643604836,"score_spread":0.2099009537412056,"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."}}