{"id":"W4401812942","doi":"10.2118/218032-pa","title":"Understanding the Dynamics of Matrix-Fracture Interaction: The First Step Toward Modeling Chemical EOR and Selecting Suitable Fracturing Fluid in Unconventional Oil/Gas Recovery","year":2024,"lang":"en","type":"article","venue":"SPE Journal","topic":"Enhanced Oil Recovery Techniques","field":"Engineering","cited_by":6,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Alberta","funders":"","keywords":"Petroleum engineering; Enhanced oil recovery; Hydraulic fracturing; Unconventional oil; Fracturing fluid; Fracture (geology); Tight gas; Matrix (chemical analysis); Reservoir simulation; Geology; Fossil fuel; Chemistry; Geotechnical engineering; Engineering; Waste management; Chromatography","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":[0.0002156118,0.0004377288,0.0004504957,0.0002495009,0.0001891604,0.0005206612,0.0006237752,0.0009536603,0.001517196],"category_scores_gemma":[0.0003978198,0.0002568252,0.0003844988,0.0001855354,0.0003109969,0.0008737639,0.0002784302,0.0005117272,0.0002140485],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0005440807,"about_ca_system_score_gemma":0.0007388354,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.006569133,"about_ca_topic_score_gemma":0.005103078,"domain_scores_codex":[0.9999623,0.000005947753,0.000003448351,0.000007941868,0.0000111411,0.000009209653],"domain_scores_gemma":[0.9998907,0.00005060891,0.00002273733,0.000009476081,0.00001836997,0.000008119401],"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":[0.00004070572,0.0001039469,0.002707745,0.0002151146,0.00001644741,0.00008785612,0.00004768966,0.9178461,0.06994009,0.002682705,0.0001416809,0.0061699],"study_design_scores_gemma":[0.000003177052,0.00002535523,0.0004043596,0.000006582673,0.000003863765,0.000007640871,0.00001617264,0.9936258,0.005037219,0.00043839,0.00042664,0.000004811129],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.6758592,0.001472391,0.3120701,0.0006209722,0.00004309094,0.0003203548,0.0007387891,0.0004898774,0.008385148],"genre_scores_gemma":[0.9425077,0.001178134,0.0527732,0.00007195558,0.00001626014,0.0002816194,0.0002260695,0.00008048742,0.002864485],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.006569133,"threshold_uncertainty_score":0.01306182,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02364267405332419,"score_gpt":0.2578319150877286,"score_spread":0.2341892410344044,"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."}}