Doctoral Dissertations

Keywords and Phrases

Attributes; Data processing; Geology; Petrophysics; Seismic; Static model

Abstract

"Cambrian-Ordovician and Upper Cretaceous reservoir formations are found in the central western Sirte Basin, the main oil producing region in the Sirte Basin, Libya. As a result of changes in sedimentary environments and structural activities, a number of irregularities in reservoir continuity have developed, which negatively affected the overall performance of the reservoir. Effective simulation of such complex reservoirs can be achieved by integrating geophysical, geological, and petrophysical data to construct a reliable full-field static model, which has the potential to simulate the vertical and lateral variations in the reservoir formations. In this study, 2D and 3D seismic data acquired in the central western Sirte Basin are used to construct a fault and structural model which is an important component of the static model. The median filter and spectral whitening are applied to enhance the data quality and remove noise resulted from acquisition and processing effects. Spectel whitening is used to enhance the resolution of the data while median filter is used as noise filter. Coherence and curvature attributes are used to delineate faults and fracture zones. Coherence adequately detect major faults and minor faults. Most positive and most negative curvatures are used to define upthow and downthrow faults blocks. Curvatures attributes are also used to define fracture zones in reservoir formations. The most common fracture zone are identified in the northwest and southeast in the Cambrian-Ordovician reservoir formation in the study area. Well data are incorporated with core data to construct a property model that integrates a range of reservoir properties including facies, porosity, permeability, and net-to-gross ratio. A fine-scale geo-cellular model is created by integrating the fault, structural, and property models for the entire field"--Abstract, page iv.

Advisor(s)

Liu, Kelly H.

Committee Member(s)

Gao, Stephen S.
Wei, Mingzhen
Flori, Ralph E.
Rustum, Jawad

Department(s)

Geosciences and Geological and Petroleum Engineering

Degree Name

Ph. D. in Geology and Geophysics

Publisher

Missouri University of Science and Technology

Publication Date

Fall 2017

Journal article titles appearing in thesis/dissertation

  • A full field static model of the RG-oil field, central Sirte Basin, Libya
  • Seismic attributes aided fault detection and enhancement in the Sirte Basin, Libya

Pagination

xiv, 68 pages

Note about bibliography

Includes bibliographic references.

Geographic Coverage

Sirte Basin, Libya

Rights

© 2017 Abdalla Ali Abdelnabi, All rights reserved.

Document Type

Dissertation - Open Access

File Type

text

Language

English

Thesis Number

T 11461

Electronic OCLC #

1104294277

Download

Share

Dissertation Location

 
COinS