{"id":"W2967781218","doi":"10.2118/189726-pa","title":"Field-Scale Modeling of Hybrid Steam and In-Situ-Combustion Recovery Process in Oil-Sands Reservoirs Using Dynamic Gridding","year":2019,"lang":"en","type":"article","venue":"SPE Reservoir Evaluation & Engineering","topic":"Enhanced Oil Recovery Techniques","field":"Engineering","cited_by":35,"is_retracted":false,"has_abstract":true,"ca_institutions":"Nexen (Canada); University of Calgary","funders":"Natural Sciences and Engineering Research Council of Canada; Mitacs; Energi Simulation","keywords":"Combustion; Steam injection; Oil sands; Enhanced oil recovery; Petroleum engineering; Oil field; Reservoir simulation; Environmental science; Process (computing); Process engineering; Engineering; Computer science; Materials science; Chemistry","routes":{"ca_aff":true,"ca_fund":true,"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":[0.0001731176,0.0003817191,0.0004476733,0.0003105726,0.0004369829,0.0006824294,0.0008618162,0.0008500034,0.001506125],"category_scores_gemma":[0.0003600411,0.0002277847,0.0004273511,0.0003258829,0.0005854733,0.0003998097,0.0004716266,0.0003801146,0.0001343215],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001048699,"about_ca_system_score_gemma":0.0009195357,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.03751236,"about_ca_topic_score_gemma":0.01436192,"domain_scores_codex":[0.9999211,0.00001496804,0.000005643379,0.00001837768,0.0000171019,0.00002286353],"domain_scores_gemma":[0.9998209,0.00007772663,0.00002760124,0.00001607798,0.00003996677,0.00001773075],"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":[0.00002512541,0.00002611637,0.001146389,0.00001355723,0.000004168927,0.00004649247,0.00001239903,0.9954803,0.002127729,0.0003635638,0.00004429604,0.0007098175],"study_design_scores_gemma":[0.000005588644,0.00001078808,0.0002409944,0.000001260343,0.000001108493,0.000003071801,0.000007896072,0.9991311,0.0004661901,0.00006401099,0.00006567732,0.000002355838],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9568826,0.00011689,0.03140653,0.0001834729,0.00002851216,0.00007515506,0.0004563089,0.0003375558,0.01051301],"genre_scores_gemma":[0.9944126,0.00004001881,0.003915431,0.00001291773,0.000002620997,0.00004150605,0.000106815,0.00001361374,0.001454431],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.03751236,"threshold_uncertainty_score":0.07458806,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01566470498571464,"score_gpt":0.277777444869008,"score_spread":0.2621127398832933,"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."}}