{"id":"W4310917507","doi":"10.1016/j.energy.2022.126382","title":"Numerical simulation of gas extraction performance from hydrate reservoirs using double-well systems","year":2022,"lang":"en","type":"article","venue":"Energy","topic":"Methane Hydrates and Related Phenomena","field":"Environmental Science","cited_by":18,"is_retracted":false,"has_abstract":false,"ca_institutions":"University of Waterloo","funders":"China Scholarship Council; National Natural Science Foundation of China","keywords":"Cabin pressurization; Petroleum engineering; Hydrate; Natural gas; Permeability (electromagnetism); Drainage; Extraction (chemistry); Environmental science; Geology; Engineering; Chemistry; Mechanical engineering; Waste management","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":[0.0002211411,0.000352763,0.0007165475,0.0003144577,0.0005867794,0.0007377196,0.0006798915,0.00128875,0.00185309],"category_scores_gemma":[0.001043106,0.0003450803,0.0003708616,0.0006017459,0.0007234852,0.0007048465,0.0005302795,0.0005932025,0.0001072569],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0009276258,"about_ca_system_score_gemma":0.0008394379,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.01377138,"about_ca_topic_score_gemma":0.007450061,"domain_scores_codex":[0.9999115,0.00001592079,0.000005166171,0.00001524942,0.00002241578,0.00002968982],"domain_scores_gemma":[0.9994338,0.0003679435,0.0000490479,0.00002890891,0.00007235231,0.0000479229],"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":[0.00008330936,0.00005901999,0.001197734,0.00003195352,0.00001297677,0.00006573233,0.00002706566,0.9922127,0.003213944,0.002176893,0.0001236364,0.0007950997],"study_design_scores_gemma":[0.00001165618,0.00001865387,0.0001861354,0.000001743282,0.000002144662,0.000002884448,0.00001191058,0.9987496,0.0007777653,0.0001783478,0.00005518664,0.000003990443],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9765439,0.0002329454,0.01221863,0.0003167395,0.00003884111,0.00002955922,0.0003115884,0.0001094864,0.01019825],"genre_scores_gemma":[0.9965681,0.00007297571,0.002131117,0.00002129742,0.000004678075,0.00002356753,0.0000818367,0.000008979689,0.001087434],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.01377138,"threshold_uncertainty_score":0.02738243,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02225465128879497,"score_gpt":0.2428666309851528,"score_spread":0.2206119796963579,"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."}}