{"id":"W4323655418","doi":"10.2118/212782-ms","title":"Determination of Optimal Distance Between Wells in SAGD and VAPEX Methods Using Reservoir Simulation","year":2023,"lang":"en","type":"article","venue":"","topic":"Reservoir Engineering and Simulation Methods","field":"Engineering","cited_by":1,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Calgary","funders":"","keywords":"Petroleum engineering; Steam-assisted gravity drainage; Steam injection; Oil in place; Injection well; Extraction (chemistry); Completion (oil and gas wells); Oil production; Oil field; Stage (stratigraphy); Engineering; Petroleum; Geology; Oil sands; Materials science; Chemistry","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":[0.000558149,0.0005173326,0.0006813259,0.000865677,0.0005472474,0.001033166,0.0006948781,0.001029583,0.002740067],"category_scores_gemma":[0.001220349,0.0005326193,0.0007985518,0.0005261552,0.0003893154,0.0006237208,0.0005354061,0.0006093165,0.0002084706],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00120731,"about_ca_system_score_gemma":0.001473607,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.02817048,"about_ca_topic_score_gemma":0.01621346,"domain_scores_codex":[0.9997614,0.00006271076,0.00001364714,0.00003658626,0.00004782089,0.00007781018],"domain_scores_gemma":[0.9990829,0.000578567,0.00009186338,0.00003657113,0.0001573193,0.00005279366],"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":[0.00004782366,0.00003122504,0.001762862,0.00003393024,0.000008732706,0.00003672066,0.00001271353,0.9941848,0.001138359,0.0003005801,0.0000847097,0.002357517],"study_design_scores_gemma":[0.000007202291,0.0000336192,0.0003012058,0.0000047173,0.000004627246,0.000003663044,0.00002035556,0.998578,0.0008422572,0.00007769436,0.0001219881,0.000004640672],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.8966619,0.000307295,0.0904639,0.0002187137,0.00004454912,0.0001415687,0.000523882,0.0005027265,0.01113546],"genre_scores_gemma":[0.9873233,0.00006158944,0.01140508,0.000008483903,0.000001638988,0.00005732577,0.000119759,0.00001776593,0.001005071],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.02817048,"threshold_uncertainty_score":0.05601299,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.06489878658222255,"score_gpt":0.3919211589622542,"score_spread":0.3270223723800316,"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."}}