{"id":"W2783541462","doi":"10.2118/189845-ms","title":"Hydraulic Fracture Design in the Presence of Highly-Stressed Layers: A Case Study of Stress Interference in a Multi-Horizontal Well Pad","year":2018,"lang":"en","type":"article","venue":"SPE Hydraulic Fracturing Technology Conference and Exhibition","topic":"Hydraulic Fracturing and Reservoir Analysis","field":"Engineering","cited_by":10,"is_retracted":false,"has_abstract":true,"ca_institutions":"Nexen (Canada)","funders":"","keywords":"Hydraulic fracturing; Stress (linguistics); Geology; Discretization; Fracture (geology); Microseism; Stress field; Geotechnical engineering; Finite element method; Focus (optics); Interference (communication); Coupling (piping); Structural engineering; Computer science; Engineering; Mechanical engineering; Seismology; Mathematics","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":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.00043531,0.0003648365,0.0005972822,0.000934719,0.00009108966,0.00004327818,0.0005515118,0.000412998,0.0000377533],"category_scores_gemma":[0.0001184088,0.0002865403,0.00006328591,0.0008790419,0.0003642044,0.0002775145,0.0001309582,0.0008427582,0.000006069463],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00006570279,"about_ca_system_score_gemma":0.00003782451,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.004804207,"about_ca_topic_score_gemma":0.008627153,"domain_scores_codex":[0.9978851,0.0002063497,0.0007100944,0.0004968455,0.0002524002,0.0004492244],"domain_scores_gemma":[0.9987158,0.0002356383,0.0002035564,0.000680275,0.0001060996,0.00005866568],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"simulation_or_modeling","study_design_gemma":"bench_or_experimental","study_design_scores_codex":[0.001002766,0.008655342,0.1213982,0.00230968,0.001122811,0.010933,0.1522059,0.593847,0.04817786,0.0001834778,0.0006537439,0.05951019],"study_design_scores_gemma":[0.007027938,0.003569338,0.01889616,0.002670904,0.0002752134,0.0009347575,0.08682366,0.418926,0.4565487,0.002491683,0.0002912876,0.001544365],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9739397,0.0002881437,0.02422448,0.0005182522,0.00006882364,0.0006238655,0.000006896934,0.0001403713,0.0001895282],"genre_scores_gemma":[0.9989798,0.0001886928,0.0006278991,0.00003898826,0.00003943935,0.00008514243,0.00000717067,0.00002613826,0.000006733409],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.4083709,"threshold_uncertainty_score":0.9999587,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02129810669286113,"score_gpt":0.2522308200222077,"score_spread":0.2309327133293466,"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."}}