Semester
Summer
Date of Graduation
2004
Document Type
Thesis
Degree Type
MS
College
Statler College of Engineering and Mineral Resources
Department
Petroleum and Natural Gas Engineering
Committee Chair
Khashayar Aminian.
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.
Recommended Citation
Pereira, Janaina Luiza Lobato, "Permeability prediction from well log data using multiple regression analysis" (2004). Graduate Theses, Dissertations, and Problem Reports. 1507.
https://researchrepository.wvu.edu/etd/1507