{"id":"W2186174751","doi":"10.1190/tle34121448.1","title":"Scoring completion effectiveness in unconventional horizontal wells using 3D seismic attributes","year":2015,"lang":"en","type":"article","venue":"The Leading Edge","topic":"Seismic Imaging and Inversion Techniques","field":"Earth and Planetary Sciences","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"ConocoPhillips (Canada)","funders":"ConocoPhillips","keywords":"Microseism; Completion (oil and gas wells); Geology; Workflow; Permeability (electromagnetism); Hydraulic fracturing; Wellbore; Petroleum engineering; Fracture (geology); Oil field; Water well; Geophysics; Seismology; Geotechnical engineering; Groundwater; Computer science; Database","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":[],"consensus_categories":[],"category_scores_codex":[0.001192441,0.0000980279,0.0001403864,0.0001019141,0.0001303633,0.00004841555,0.0001790634,0.00003903384,0.00005990595],"category_scores_gemma":[0.00004982797,0.00007419035,0.00003826556,0.0002168931,0.00009078639,0.0002101114,0.00001801881,0.0001718078,0.0002869732],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00004753938,"about_ca_system_score_gemma":0.0000488392,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.005098419,"about_ca_topic_score_gemma":0.00004027096,"domain_scores_codex":[0.9990866,0.0002071817,0.0001331192,0.0001658312,0.0001836264,0.0002236228],"domain_scores_gemma":[0.9995598,0.0001868018,0.00005092083,0.0001157341,0.00003258713,0.00005414479],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.0001154425,0.00003237094,0.937931,0.00005006573,0.00002061499,0.00002089372,0.0006126588,0.02233411,0.001071739,0.000214482,0.006766009,0.0308306],"study_design_scores_gemma":[0.001033159,0.0002055521,0.1659183,0.0004474126,0.0000280022,0.0001180538,0.0004326944,0.7914613,0.008785665,0.006211146,0.02492831,0.0004303989],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.989317,0.0002732095,0.006682869,0.0002741461,0.0007690912,0.0001483425,0.00001219621,0.00009379432,0.002429329],"genre_scores_gemma":[0.9988196,0.00000572998,0.0006058776,0.000285064,0.0001469341,8.875243e-7,0.00004033983,0.000003871055,0.00009168591],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.7720127,"threshold_uncertainty_score":0.7707317,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.07364815198259654,"score_gpt":0.274333526838187,"score_spread":0.2006853748555904,"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."}}