{"id":"W2059286296","doi":"10.2118/165240-ms","title":"Optimization of Gas Utilization to Improve Recovery at Hibernia","year":2013,"lang":"en","type":"article","venue":"SPE Enhanced Oil Recovery Conference","topic":"Reservoir Engineering and Simulation Methods","field":"Engineering","cited_by":3,"is_retracted":false,"has_abstract":true,"ca_institutions":"Memorial University of Newfoundland; ExxonMobil (Canada)","funders":"Hibernia Management and Development Company","keywords":"Petroleum engineering; Enhanced oil recovery; Environmental science; Natural gas field; Reservoir engineering; Development plan; Reservoir simulation; Fault block; Fossil fuel; Water injection (oil production); Computer science; Fault (geology); Natural gas; Process engineering; Petroleum; Engineering; Civil engineering; Geology; Waste management","routes":{"ca_aff":true,"ca_fund":true,"ca_venue":false,"about_ca":true,"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":[0.000608044,0.0003737673,0.0003897523,0.0004884183,0.0004258231,0.0006992272,0.0005424956,0.0002341977,0.001777816],"category_scores_gemma":[0.0005835787,0.0001487688,0.0002313855,0.0002834577,0.0002881165,0.0005640884,0.0004384945,0.0003649848,0.0002171254],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001122742,"about_ca_system_score_gemma":0.001392054,"about_ca_topic_candidate":true,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.01274414,"about_ca_topic_score_gemma":0.02076812,"domain_scores_codex":[0.9997848,0.00003968945,0.000009463355,0.00003261741,0.00005625167,0.00007731728],"domain_scores_gemma":[0.9997519,0.00007208877,0.00004527557,0.00002194528,0.00007317004,0.00003567867],"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":[0.001959051,0.001847929,0.02915633,0.0003706378,0.00006241398,0.0004710459,0.0001951666,0.6128787,0.2359439,0.00127599,0.001540068,0.1142987],"study_design_scores_gemma":[0.0002737247,0.007695499,0.03123115,0.00005279144,0.00009233326,0.000110216,0.0008164074,0.6250139,0.3266467,0.0007515509,0.007247763,0.00006807649],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9869646,0.0001085024,0.009023254,0.00008118067,0.000007693361,0.0001172283,0.0001343015,0.0003115729,0.003251586],"genre_scores_gemma":[0.9952126,0.00005579814,0.003555831,0.00001146518,7.473491e-7,0.00002460187,0.00008530373,0.00001638956,0.001037403],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.9872559,"threshold_uncertainty_score":0.0253399,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02076373698322415,"score_gpt":0.2511682205071863,"score_spread":0.2304044835239621,"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."}}