{"id":{"repo_id":"wvu","oai_identifier":"oai:researchrepository.wvu.edu:etd-2510"},"canonical_url":"https://search.dev.ndltd.org/etd/wvu/oai:researchrepository.wvu.edu:etd-2510","repository":{"repo_id":"wvu","name":"West Virginia University","base_url":"https://researchrepository.wvu.edu/do/oai/"},"display":{"title":"Permeability prediction from well log data using multiple regression analysis","abstract":"An accurate reservoir description is very important in reservoir evaluation, and permeability prediction is the key for a successful characterization. However, despite its importance, obtaining permeability values through the reservoir is not a trivial task. It is costly and time-consuming.;Many are the techniques available in the literature, involving correlations between core and log data that provide means to obtain permeability.;The present work describes how to predict permeability through the statistical analysis multiple regression having log data and limited core data, making it possible to expand the prediction to uncored wells. It also takes into consideration the attributes of flow unit analysis of the field, as a means to ascertain better understanding between reservoir properties and geological variations in the reservoir rock.","abstract_html":"An accurate reservoir description is very important in reservoir evaluation, and permeability prediction is the key for a successful characterization. However, despite its importance, obtaining permeability values through the reservoir is not a trivial task. It is costly and time-consuming.;Many are the techniques available in the literature, involving correlations between core and log data that provide means to obtain permeability.;The present work describes how to predict permeability through the statistical analysis multiple regression having log data and limited core data, making it possible to expand the prediction to uncored wells. It also takes into consideration the attributes of flow unit analysis of the field, as a means to ascertain better understanding between reservoir properties and geological variations in the reservoir rock.","abstract_has_math":false,"creators":["Pereira, Janaina Luiza Lobato"],"institution":null,"degree_name":"MS","degree_level":"Thesis","degree_discipline":"Petroleum and Natural Gas Engineering","degree_department":null,"school":null,"contributors":["Khashayar Aminian."],"advisors":[],"committee_chairs":[],"committee_members":[],"year":2004,"date_issued":"2004-08-01T07:00:00Z","date_published":"2004-08-01T07:00:00Z","updated_at":"2026-07-24T06:15:47Z","subjects":["Petroleum engineering"],"languages":[],"rights":[],"rights_urls":[],"identifier_entries":[{"key":"dc:identifier","label":"Identifier","values":["https://researchrepository.wvu.edu/etd/1507"],"render_values":[{"text":"https://researchrepository.wvu.edu/etd/1507","href":"https://researchrepository.wvu.edu/etd/1507","code":true}]}]},"links":{"outbound_url":"https://doi.org/10.33915/etd.1507","outbound_label":"DOI","outbound_source":"dc:identifier"},"metadata_groups":[{"id":"people","label":"People","entries":[{"key":"dc:contributor","label":"Contributor","values":["Khashayar Aminian."]},{"key":"dc:creator","label":"Author","values":["Pereira, Janaina Luiza Lobato"]}]},{"id":"academic_context","label":"Academic Context","entries":[{"key":"dc:date.available","label":"Dc Date Available","values":["2019-01-17T08:00:00Z"]},{"key":"thesis:degree_discipline","label":"Discipline","values":["Petroleum and Natural Gas Engineering"]},{"key":"thesis:degree_level","label":"Degree Level","values":["Thesis"]},{"key":"thesis:degree_name","label":"Degree Name","values":["MS"]}]},{"id":"subjects_keywords","label":"Subjects and Keywords","entries":[{"key":"dc:subject","label":"Dc Subject","values":["Petroleum engineering"]}]},{"id":"identifiers","label":"Identifiers","entries":[{"key":"dc:identifier","label":"Identifier","values":["https://doi.org/10.33915/etd.1507","https://researchrepository.wvu.edu/etd/1507"]}]},{"id":"additional","label":"Additional Metadata","entries":[{"key":"dc:description.abstract","label":"Abstract","values":["An accurate reservoir description is very important in reservoir evaluation, and permeability prediction is the key for a successful characterization. However, despite its importance, obtaining permeability values through the reservoir is not a trivial task. It is costly and time-consuming.;Many are the techniques available in the literature, involving correlations between core and log data that provide means to obtain permeability.;The present work describes how to predict permeability through the statistical analysis multiple regression having log data and limited core data, making it possible to expand the prediction to uncored wells. It also takes into consideration the attributes of flow unit analysis of the field, as a means to ascertain better understanding between reservoir properties and geological variations in the reservoir rock."]},{"key":"dc:title","label":"Title","values":["Permeability prediction from well log data using multiple regression analysis"]}]}],"canonical_facts":{"dc:contributor":["Khashayar Aminian."],"dc:creator":["Pereira, Janaina Luiza Lobato"],"dc:date.available":["2019-01-17T08:00:00Z"],"dc:description.abstract":["An accurate reservoir description is very important in reservoir evaluation, and permeability prediction is the key for a successful characterization. However, despite its importance, obtaining permeability values through the reservoir is not a trivial task. It is costly and time-consuming.;Many are the techniques available in the literature, involving correlations between core and log data that provide means to obtain permeability.;The present work describes how to predict permeability through the statistical analysis multiple regression having log data and limited core data, making it possible to expand the prediction to uncored wells. It also takes into consideration the attributes of flow unit analysis of the field, as a means to ascertain better understanding between reservoir properties and geological variations in the reservoir rock."],"dc:identifier":["https://doi.org/10.33915/etd.1507","https://researchrepository.wvu.edu/etd/1507"],"dc:subject":["Petroleum engineering"],"dc:title":["Permeability prediction from well log data using multiple regression analysis"],"thesis:degree_discipline":["Petroleum and Natural Gas Engineering"],"thesis:degree_level":["Thesis"],"thesis:degree_name":["MS"]},"updated_at":"2026-07-24T06:15:47Z"}