{"id":"W4367047448","doi":"10.1016/j.fuel.2023.128450","title":"On the ability to store and recover hydrogen in post-SAGD reservoirs","year":2023,"lang":"en","type":"article","venue":"Fuel","topic":"Oil and Gas Production Techniques","field":"Engineering","cited_by":4,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Calgary","funders":"Canada First Research Excellence Fund","keywords":"Petroleum engineering; Residual oil; Volume (thermodynamics); Hydrogen; Environmental science; Methane; Steam-assisted gravity drainage; Compressed hydrogen; Hydrogen production; Tonne; Produced water; Oil production; Coalbed methane; Waste management; Hydrogen storage; Oil sands; Chemistry; Geology; Materials science; Engineering; Coal; Thermodynamics","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":[0.0003470722,0.0001693967,0.0001519028,0.0002786913,0.000207644,0.000454154,0.0003460229,0.000376344,0.001233455],"category_scores_gemma":[0.0006649268,0.0001355014,0.0002249747,0.0002907354,0.0003569906,0.000761201,0.000433002,0.0003096932,0.0003617491],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0002215251,"about_ca_system_score_gemma":0.0001719222,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.000829998,"about_ca_topic_score_gemma":0.001535601,"domain_scores_codex":[0.9997154,0.00003140707,0.0000133916,0.00003587888,0.0001397832,0.0000641605],"domain_scores_gemma":[0.9996762,0.00009963296,0.00006608286,0.0000370136,0.000102447,0.00001846723],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"bench_or_experimental","study_design_gemma":"bench_or_experimental","study_design_scores_codex":[0.0002147154,0.00005461682,0.001494322,0.000139877,0.000007170442,0.0001379964,0.00008643956,0.0008087689,0.9812165,0.0002263826,0.00008475311,0.01552842],"study_design_scores_gemma":[0.000002475078,0.0006452938,0.003636052,0.000009948688,0.000009171824,0.0001248323,0.00008555339,0.001480118,0.9920414,0.00003721269,0.001916058,0.00001170144],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.993969,0.001043207,0.003154038,0.00006906268,0.00001351185,0.00001659712,0.0001210897,0.00004010478,0.001573436],"genre_scores_gemma":[0.9947388,0.0009488196,0.002680134,0.00002332892,0.000005592568,0.000009609369,0.0001426594,0.00001748172,0.001433498],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.001233455,"threshold_uncertainty_score":0.00412631,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01282679007099248,"score_gpt":0.224974259840288,"score_spread":0.2121474697692955,"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."}}