{"id":"W2021600662","doi":"10.2118/152422-ms","title":"Fiber Optic Distributed Acoustic Sensing of Multiple Fractures in a Horizontal Well","year":2012,"lang":"en","type":"article","venue":"SPE Hydraulic Fracturing Technology Conference","topic":"Seismic Waves and Analysis","field":"Earth and Planetary Sciences","cited_by":29,"is_retracted":false,"has_abstract":true,"ca_institutions":"Inversa Systems (Canada); Devon Energy (Canada)","funders":"","keywords":"Microseism; Hydraulic fracturing; Geology; Acoustic emission; High resolution; Distributed acoustic sensing; Acoustics; Computer science; Remote sensing; Optical fiber; Petroleum engineering; Seismology; Fiber optic sensor; Telecommunications","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":"codex-gemma-dda1882f352a","candidate_categories":["insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.0001810994,0.0002183388,0.0003827679,0.0003770698,0.00007839184,0.00002405227,0.0003099124,0.0002733958,0.001599915],"category_scores_gemma":[0.0002020743,0.0001883302,0.00007688934,0.0005128294,0.0002274436,0.0001960686,0.00004767136,0.0004437855,0.0002023401],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00001451367,"about_ca_system_score_gemma":0.00004206931,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.002378042,"about_ca_topic_score_gemma":0.001020275,"domain_scores_codex":[0.998547,0.00004001124,0.0003519827,0.000293955,0.0001886457,0.0005784467],"domain_scores_gemma":[0.9991342,0.0001919403,0.0001805094,0.0003522063,0.00003883502,0.0001022475],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0001350762,0.0002124053,0.7891991,0.0001151921,0.0002076327,0.0002003345,0.0005461437,0.0601454,0.003746669,0.0002245467,0.0002724987,0.144995],"study_design_scores_gemma":[0.000873009,0.0001484244,0.7227274,0.000201149,0.0001166145,0.000112492,0.001029227,0.2467408,0.01742799,0.003821212,0.006095708,0.0007058886],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9938235,0.0005258674,0.002752796,0.0005937103,0.0001457163,0.0001200348,0.00005064219,0.0001044253,0.001883359],"genre_scores_gemma":[0.9961449,0.00004149407,0.003530271,0.0000683114,0.00006973703,5.79174e-7,0.00009838793,0.000006318957,0.00004003504],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.1865955,"threshold_uncertainty_score":0.9993128,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01075033947328001,"score_gpt":0.2187875579415501,"score_spread":0.2080372184682701,"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."}}