{"id":"W4290851736","doi":"10.1016/j.rineng.2022.100563","title":"To extract geothermal energy from low-permeability reservoirs: Development and simulation of cyclic water injection (CWI)- and water-assisted gravity drainage (WAGD)-based processes","year":2022,"lang":"en","type":"article","venue":"Results in Engineering","topic":"Reservoir Engineering and Simulation Methods","field":"Engineering","cited_by":18,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Regina","funders":"Natural Sciences and Engineering Research Council of Canada; Mitacs; Petroleum Technology Research Centre; University of Regina","keywords":"Petroleum engineering; Geothermal energy; Geothermal gradient; Injector; Environmental science; Permeability (electromagnetism); Extraction (chemistry); Hydraulic fracturing; Water extraction; Geology; Engineering; Geophysics; Mechanical engineering; 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":[0.0003018144,0.0005246628,0.0007358182,0.0004736671,0.0005242739,0.000846575,0.0009031766,0.001459661,0.001292681],"category_scores_gemma":[0.001058474,0.0003020038,0.0007585518,0.0006214588,0.000703315,0.0004732894,0.0005582769,0.000681536,0.0001150306],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00073845,"about_ca_system_score_gemma":0.001205212,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.01997375,"about_ca_topic_score_gemma":0.0127069,"domain_scores_codex":[0.9998952,0.00002375511,0.000006597646,0.00001563716,0.00002393887,0.00003482807],"domain_scores_gemma":[0.9994015,0.0003495754,0.00008513437,0.00002463751,0.00008319771,0.00005594788],"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":[0.00003404826,0.0000721305,0.002593877,0.00003320746,0.00001265458,0.00006734172,0.00002842366,0.9940702,0.001138395,0.0007348094,0.0001114113,0.001103494],"study_design_scores_gemma":[0.00001037935,0.00001778759,0.0002671126,0.00000280706,0.000003586644,0.000004557839,0.00001665135,0.9991518,0.000321608,0.0001073097,0.00009361488,0.000002656366],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"empirical","genre_gemma":"methods","genre_scores_codex":[0.9711308,0.0003524107,0.0171403,0.0003483254,0.00004226007,0.00009107559,0.0004866019,0.0001635227,0.01024463],"genre_scores_gemma":[0.9890229,0.0001986822,0.009131259,0.00003783035,0.000007556126,0.0001052341,0.0002846706,0.00002741884,0.001184605],"genre_candidate":"methods","genre_consensus":null,"teacher_disagreement_score":0.01997375,"threshold_uncertainty_score":0.03971499,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01451255029141868,"score_gpt":0.2447264325257209,"score_spread":0.2302138822343023,"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."}}