scholarly journals Estimation of net-to-gross of among hydrocarbon field using well log and 3D seismic data

2014 ◽  
Vol 2 (2) ◽  
pp. 18-26
Author(s):  
Sonny Inichinbia ◽  
◽  
Peter O. Sule ◽  
Halidu Hamza ◽  
Aminu L. Ahmed
2016 ◽  
Vol 4 (2) ◽  
pp. T157-T165
Author(s):  
Pavel Rusakov ◽  
Gennady Goloshubin ◽  
Yury Tcimbaluk ◽  
Irina Privalova

We have considered a permeability prognosis in the crosswell space within the Middle Jurassic [Formula: see text] Formation in the southern part of Western Siberia. The prognosis was based on core measurements, well log analysis, and seismic attribute calculations. We have estimated the formation permeability in the wells, calculated seismic attribute proportional to fluid mobility from the 3D seismic data, and eliminated the influence of the reservoir thickness variations. The correlation between appropriate seismic attribute values and [Formula: see text] formation permeability was used for the prognosis and mapping the permeability in the crosswell space.


Author(s):  
B. K. Kurah ◽  
M. S. Shariatipour ◽  
K. Itiowe

AbstractSuites of wireline well logs and three-dimensional (3D) seismic data were integrated to characterise the reservoir and estimate the hydrocarbon in Otigwe field, coastal swamp depositional belt, Niger Delta. The 3D seismic data were used to generate seismic sections through which fourteen faults and two horizons of interest were mapped across four wells. Depth structural map generated from the mapped faults and horizons of interest shows that the trapping mechanism within the field is fault-supported anticlinal structural trap. The four available wells were correlated using lithostratigraphic correlation to establish two reservoir continuities (Reservoir A and B). The estimated reservoir fluid volume at surface condition using reservoir simulation and modelling software is 59 MMstb for reservoir A and 25.70 MMstb for reservoir B. On the other hand, the estimated reservoir fluid volume at surface condition using analytical method is 52.58 MMstb for reservoir A and 18.85 MMstb for reservoir B. Using reservoir simulation and modelling software, the average net-to-gross ratio and shale volume for reservoir A range from 0.86 to 0.89 and 0.11 to 0.14, respectively, while for reservoir B the range is between 0.69 to 0.82 and 0.18 to 0.31, respectively. On the flipside using the analytical method, the average net-to-gross ratio and shale volume for reservoir A is 0.78 and 0.22, respectively. The results from the volumetric estimation of reservoir fluids showed close values using both methods and reservoir A is more prolific compare to B.


2019 ◽  
Vol 09 (13) ◽  
pp. 974-987
Author(s):  
A. O. Owolabi ◽  
B. O. Omang ◽  
O. P. Oyetade ◽  
O. B. Akindele

1998 ◽  
Author(s):  
Todor Todorov ◽  
Robert Stewart ◽  
Daniel Hampson ◽  
Brian Russell

Author(s):  
V. B. Olaseni ◽  
Y. S. Onifade ◽  
J. O. Airen ◽  
L. Adeoti

A statistically driven spectral method was carried out on 3D seismic data and well logs in ‘’VIC’’ Field within the Niger Delta with the aim of deriving reservoir properties and delineating stratigraphic features using edge detection attributes like coherence so as to have a better and clearer view of subsurface structure of a reservoir interval that possesses hydrocarbon using Spectral method. A suite of data consisting of seismic sections and composite logs comprising Gamma-ray, Resistivity, Spontaneous Potential, Sonic Time and Porosity logs (density and Neutron) were utilized to identify reservoir interval on log signature across wells 4 and 5 and the reservoir interval obtained was between 11,164 feet and 11,196 feet. Edge detection attribute like coherence was computed from the amplitude data in time domain and transformed to frequency domain using Fourier Transform tool in MATLAB. In order to display well log in time, well to seismic tie was carried out using check shot data which was used as time to depth relationship. The analysis of the spectral domain shows distinct bright spots that vary with measured depth due to variation in fluid and formation properties. The results led to an enhancement of seismic data interpretation in the field of study due to a spectral technique method that was applied to calculate the frequency slices. The results indicate that the spectral domain in coherence attributes revealed better geological features and the reservoir character such as faults and fractures. Frequency domain gives better geological maps as it is used to filter data, which means it is an enhancement of hidden features in time domain and gives a smoother variation of the features that has low frequency values. A reservoir with low frequency values is a sandy environment showing stratigraphy features. Hence, the reservoir is suspected to be a channel fill reservoir. This implies that Spectral domain (frequency) defines major geological areas of the ‘’VIC’’ field and gives much clearer image of the reservoir features within the field than in time domain.  


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