An integrated seismic interpretation using 3-D seismic data, check shot data and a suite of
well logs for four wells were analyzed with the Petrel (seismic to simulation software). The
objectives were to carry out a detailed formation evaluation, reservoir characterisation and a
3-D assisted structural interpretation of the densely faulted oil field in the coastal depo-belt of
the Niger Delta. RMS amplitude, instantaneous frequency map and interval average
extraction maps were extracted on the surfaces which revealed the bright spots and Dim spots
on them. The attributes were used to establish the diagnostic ability of 3D seismic attribute
analysis in enhancing seismic interpretation, and the importance of petrophysical analysis in
economic decision in E&P companies as well as researchers of the mid Miocene to Pliocene,
Agbada Formation reservoirs in the coastal swamp depobelt of the Niger Delta basin. The
method adopted involved a delineation of the various lithologies from the gamma ray log,
identification of reservoirs from the resistivity log, well correlation, determination of petro
physical parameters, horizon and fault mapping, time to depth conversion, attribute analysis
and reserve estimation. Two reservoirs named Sand_A and Sand_B were mapped. The
petrophysical analysis gave porosity values of reservoir Sand_A ranging from 18.1-20.3%
and reservoir Sand_B ranging from 13.10-14.9% across the reservoir. The permeability
values of reservoir Sand_A ranged from 63-540md while for reservoir Sand_B it ranged from
18-80md. The Sw values for the reservoir ranges from 38-42% in Well 2, 35.39-68.79% in
well 7, 32.28-45.57% in well 9 and 68.79-96.06% in well 11.The volume of shale range from
17-82% across the reservoir Sand_B and 49% in reservoir Sand_A. Seven faults labelled F1,
F2, F3, F4, F5, F6, and F7 and Four horizons were mapped. Depth structure maps generated
showed a massive Northeast-Southwest trending anticlinal structure. The Reserve estimation
was calculated using the empirical formular method with the petrophysical parameter, hence
well 2 has 9.3 mmbls, well 7 has 5.7mmbls, well 9 has 3.5mmbls and well 11 has 2.3mmbls.
The petrophysical analysis revealed the presence of oil with a volume that is however not
favourable for commercial exploitation. These techniques proved to be very reliable and
useful in reservoir characterization and formation evaluation.
African Research, R (2021). 3-D Seismic Attributes Analysis And Reserve Estimation Of “Guramala Field”, Coastal Swamp Depobelt, Niger Delta.. Afribary.com: Retrieved April 10, 2021, from https://afribary.com/works/3-d-seismic-attributes-analysis-and-reserve-estimation-of-guramala-field-coastal-swamp-depobelt-niger-delta
Resources, African Research. "3-D Seismic Attributes Analysis And Reserve Estimation Of “Guramala Field”, Coastal Swamp Depobelt, Niger Delta." Afribary.com. Afribary.com, 05 Apr. 2021, https://afribary.com/works/3-d-seismic-attributes-analysis-and-reserve-estimation-of-guramala-field-coastal-swamp-depobelt-niger-delta . Accessed 10 Apr. 2021.
Resources, African Research. "3-D Seismic Attributes Analysis And Reserve Estimation Of “Guramala Field”, Coastal Swamp Depobelt, Niger Delta.". Afribary.com, Afribary.com, 05 Apr. 2021. Web. 10 Apr. 2021. < https://afribary.com/works/3-d-seismic-attributes-analysis-and-reserve-estimation-of-guramala-field-coastal-swamp-depobelt-niger-delta >.
Resources, African Research. "3-D Seismic Attributes Analysis And Reserve Estimation Of “Guramala Field”, Coastal Swamp Depobelt, Niger Delta." Afribary.com (2021). Accessed April 10, 2021. https://afribary.com/works/3-d-seismic-attributes-analysis-and-reserve-estimation-of-guramala-field-coastal-swamp-depobelt-niger-delta