Masters Theses

Aziz Mennan

Keywords and Phrases

Interpretation; Modeling; Reservoir; Well Log

Abstract

"Maui-B is one of the largest hydrocarbon-producing fields in the Taranaki Basin. Many previous works have estimated reservoir volume. This study uses 3D property modeling, which is one of the most powerful tools to characterize lithology and reservoir fluids distribution through the field. This modeling will help in understanding the reservoir properties and enhancing the production by selecting the best location for future drilling candidates. In this study, 3D seismic, core, and well log data were used to build and define a structural model, facies analysis, and petrophysical parameters. After well log interpretation and petrophysical parameter calculations, each parameter was upscaled. Then, geostatistical methods, including Gaussian simulation, variogram, and Monte Carlo simulation, were used to build a 3D property model. A thousand 3D models were constructed and performed for each parameter; the outputs were implemented into Monte Carlo simulation, which is a highly reliable method regarding accuracy to calculate the mean of each parameter. Then, the volume of the reservoir was estimated. In this study, integration of seismic interpretation and well logs defined the depth and thickness of the hydrocarbon reservoir through the field. Gamma ray, spontaneous potential, and caliper logs were used for depth correlation and identifying permeable zones. As a result, five different lithofacies, where sandstone and claystone distribution have the significant impact on reservoir quality were identified. The matrix identification (MID) method was used for porosity correction, which showed effective porosity ranges of 15-25%. Moreover, permeability was estimated as 79-3700 mD, where all results were calibrated using available core data. Furthermore, 9% to 40% water saturation was estimated using the resistivity logs and core data. Finally, oil and gas in place were estimated"--Abstract, page iii.

Advisor(s)

Flori, Ralph E.

Committee Member(s)

Wei, Mingzhen
Liu, Kelly H.

Department(s)

Geosciences and Geological and Petroleum Engineering

Degree Name

M.S. in Petroleum Engineering

Sponsor(s)

New Zealand Petroleum & Minerals

Publisher

Missouri University of Science and Technology

Publication Date

Fall 2017

Pagination

xi, 69 pages

Note about bibliography

Includes bibliographical references (pages 66-68).

Geographic Coverage

New Zealand

Rights

© 2017 Aziz Mennan, All rights reserved.

Document Type

Thesis - Open Access

File Type

text

Language

English

Thesis Number

T 11231

Electronic OCLC #

1021857551

Download

Share

Thesis Location

 
COinS