Application of 3-D Seismic Attributes Analysis for Structural Characterization and Hydrocarbon Prospectivity in “TLB” Field, Southern Niger Delta, Nigeria
Keywords:
Seismic Attributes, Hydrocarbon Prospectivity, Reservoir Characterization, Niger Delta Basin, RMS Amplitude, Fault InterpretationAbstract
This study investigates the hydrocarbon potential of the TLB Field, located in the southern Niger Delta, using well logs and 3D seismic data. The aim of this study is to evaluate the hydrocarbon potential of the TLB Field in the southern Niger Delta by utilizing 3D seismic attribute analysis and well log data for structural characterization and reservoir assessment. Through the integration of seismic attributes such as root mean square (RMS) amplitude, maximum magnitude, and variance, this study seeks to delineate hydrocarbon-bearing zones, identify key prospects, and estimate hydrocarbon volumes. These study gives precise understanding of the structural framework and reservoir quality within the field unlike previous studies. We analyzed seismic attributes such as root mean square (RMS) amplitude, maximum magnitude, and variance to delineate structural and stratigraphic features indicative of hydrocarbon-bearing zones. The structural interpretation of the seismic data revealed the presence of listric growth faults that play a significant role in hydrocarbon entrapment. Two reservoirs, Reservoir A (RES A) and Reservoir B (RES B), were identified at depths ranging from 3300 ft to 6400 ft. Reservoir A exhibited superior reservoir quality, with a porosity of 24% and a hydrocarbon saturation of 85%. Bright spot anomalies served as direct hydrocarbon indicators (DHIs), pointing to potential accumulation zones. The study identified three key prospects, designated as K, L, and M, with an estimated total of 20.6 million barrels of oil equivalent (MMBOE) and 199.1 million standard cubic feet (MSCF) of gas. The findings indicate that additional hydrocarbon leads exist within the field, suggesting that further exploration is warranted to maximize recovery.
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