{"id":"W4221052243","doi":"10.2118/200069-ms","title":"Artificial-Intelligence Based Horizontal Well Placement Optimization Leveraging Geological and Engineering Attributes, and Expert-Based Workflows","year":2022,"lang":"en","type":"article","venue":"","topic":"Reservoir Engineering and Simulation Methods","field":"Engineering","cited_by":2,"is_retracted":false,"has_abstract":true,"ca_institutions":"Impact","funders":"","keywords":"Computer science; Workflow; Identification (biology); Data mining; Footprint; Range (aeronautics); Artificial intelligence; Engineering; Geology; 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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.001395764,0.0008805345,0.0009408112,0.0009317092,0.0005679208,0.001227012,0.001540213,0.001025548,0.003016089],"category_scores_gemma":[0.002702188,0.0006110435,0.000814764,0.0007681048,0.0007697648,0.0008199677,0.001333934,0.00077348,0.0004224592],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001317854,"about_ca_system_score_gemma":0.00318995,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.01959194,"about_ca_topic_score_gemma":0.0159524,"domain_scores_codex":[0.9994005,0.000186446,0.00003656447,0.0001312723,0.000145667,0.00009955533],"domain_scores_gemma":[0.99844,0.0007905539,0.0001574279,0.0001576258,0.0003330244,0.000121356],"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":[0.0000169587,0.00002381028,0.0003925937,0.00001574479,0.000007035553,0.00002734291,0.00001597738,0.9877242,0.0004414122,0.001128894,0.0001970908,0.01000908],"study_design_scores_gemma":[0.000002880749,0.000007484454,0.00004420735,0.000001814404,0.000001417977,0.000002152735,0.00000574755,0.9988787,0.0001346312,0.000797128,0.0001223124,0.000001682552],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.07594366,0.0001310462,0.9151449,0.0002991629,0.00003517111,0.0001759027,0.0001986943,0.00122468,0.006846752],"genre_scores_gemma":[0.6540654,0.00009406287,0.3420004,0.00009988267,0.00002396183,0.0002625406,0.0004726252,0.0001331828,0.00284799],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.01959194,"threshold_uncertainty_score":0.03895587,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03196180147098847,"score_gpt":0.2500921477395611,"score_spread":0.2181303462685726,"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."}}