Permeability prediction from well log data using multiple regression analysis

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.

Name thesis:degree_name

MS

Level thesis:degree_level

Thesis

Discipline thesis:degree_discipline

Petroleum and Natural Gas Engineering

Year dc:date.available

2004

Author dc:creator

• Pereira, Janaina Luiza Lobato

Contributors dc:contributor

• Khashayar Aminian.

• Petroleum engineering

Identifier

https://researchrepository.wvu.edu/etd/1507

OAI identifier oai:identifier

oai:researchrepository.wvu.edu:etd-2510