3D seismic data assimilation to reduce uncertainties in reservoir simulation considering model errors

2020 ◽  
Vol 189 ◽  
pp. 106967 ◽  
Author(s):  
Gilson M. Silva Neto ◽  
Alessandra Davolio ◽  
Denis J. Schiozer
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.


2012 ◽  
Vol 2012 (1) ◽  
pp. 1-4 ◽  
Author(s):  
Peter Kovesi ◽  
Ben Richardson ◽  
Eun-Jung Holden ◽  
Jeffrey Shragge

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