<p> </p><p>Title page — – – – – – – – – – – i </p><p>Declaration — – – – – – – – – – -ii</p><p>Approval page — – – – – – – – – – -iii</p><p>Dedication — – – – – – – – – – -iv</p><p>Acknowledgement — – – – – – – – – -v </p><p>Table of content — – – – – – – – – -vi Abstract — – – – – – – – – – – -vii</p> <br><p></p>
Amplitude variation with offset (AVO) analysis was carried out on Konga oil field, an onshore oil field in the Niger Delta, Southeastern Nigeria. The study consisted of forward modeling from rock parameters measured from well logs and AVO analysis of events on pre-stack time migrated 3D seismic gathers. Forward modeling predicted specific AVO behaviour of anomalous reservoir sands in the field. Density, compressional and shear wave velocity logs, combined with a wavelet extracted from recorded seismic gathers were used to generate synthetic seismic gathers and Gassmann fluid substitution models. These synthetics supported key observations made of the AVO response in the field data. AVO attributes (intercept and gradient) were derived from analysis of common depth point (CDP) gathers obtained from a 3D pre-stack seismic survey. The attributes were cross-plotted to establish trends against which anomalous amplitude behaviour were identified. Reflections related to shales and brine sands exhibit a relatively small range of orientations creating a dominant ββbackground trendββ against which anomalous events related to hydrocarbon-saturated reservoirs show clear deviations. On the basis of crossplot analyses (reflectivity versus offset/angle and intercept versus gradient) and modeled acoustic impedance, Class 1 type AVO anomalies observed are associated with non-hydrocarbon bearing clastic rocks that are most probably brine saturated in the field. Evidence from these results show that drilling in this field in search of hydrocarbon reservoirs poses a risky venture.
π Over 50,000 Project Materials
π± 100% Offline: No internet needed
π Over 98 Departments
π Software coding and Machine construction
π Postgraduate/Undergraduate Research works
π₯ Instant Whatsapp/Email Delivery
The project topic "Application of Ground Penetrating Radar for Subsurface Imaging in Civil Engineering Projects" focuses on the utilization of Ground ...
The project titled "Application of Seismic Reflection Imaging for Subsurface Characterization in an Oil and Gas Field" focuses on the utilization of s...
The project topic, "Integration of geophysical methods for mapping subsurface fractures in a study area," focuses on the application of various geophy...
The project topic "Application of Seismic Inversion Techniques for Reservoir Characterization in Oil and Gas Exploration" focuses on the utilization o...
The project topic "Application of Ground-Penetrating Radar in the Detection of Subsurface Features" focuses on the utilization of ground-penetrating r...
The project titled "Integration of Ground Penetrating Radar and Electrical Resistivity Tomography for Subsurface Imaging" focuses on the combined appl...
The project on "Application of Machine Learning Algorithms in Seismic Data Analysis for Subsurface Imaging" aims to explore the potential of machine l...
The project titled "Analysis of Seismic Data for Subsurface Characterization in an Oil Field" aims to explore the application of seismic data analysis...
The project on "Application of Machine Learning Techniques in Seismic Data Interpretation for Subsurface Characterization" aims to explore the integra...