Appraisal of the Bicudo Field with Seismic‐Derived Acoustic Impedance Data, Campos Basin, Brazil

1982 ◽  
Author(s):  
Sérgio Possato ◽  
Kaoru Tsubone ◽  
André L. Romanelli ◽  
José Tassini
Keyword(s):  
Acoustic Impedance ◽  
Impedance Data ◽  
Campos Basin

Fault Delineation using Spectral Decomposition of Relative Acoustic Impedance Data and RGB Blending

2019 ◽  
Author(s):  
Vikas Saluja ◽  
Uday Singh ◽  
Aninda Ghosh ◽  
Puja Prakash ◽  
Ravendra Kumar ◽  
...  
Keyword(s):  
Acoustic Impedance ◽  
Spectral Decomposition ◽  
Impedance Data

Using Acoustic Impedance Data for Tabu Field Subsurface Mapping and Reservoir Characterization

2008 ◽  
Author(s):  
Fariz Fahmi ◽  
Yue Choong Lye ◽  
Azlina Ahmad Termizi ◽  
Dave Walley and Aniza Yaakob
Keyword(s):  
Acoustic Impedance ◽  
Reservoir Characterization ◽  
Impedance Data ◽  
Subsurface Mapping

High-resolution acoustic impedance inversion to characterize turbidites at Marlim Field, Campos Basin, Brazil

2014 ◽  
Vol 2 (3) ◽  
pp. T143-T153 ◽  
Author(s):  
Tatiane M. Nascimento ◽  
Paulo T. L. Menezes ◽  
Igor L. Braga
Keyword(s):  
High Resolution ◽  
Seismic Data ◽  
Acoustic Impedance ◽  
Structural Information ◽  
Low Frequency ◽  
Seismic Inversion ◽  
Background Model ◽  
Rock Properties ◽  
High Porosity ◽  
Campos Basin

Seismic inversion is routinely used to determine rock properties, such as acoustic impedance and porosity, from seismic data. Nonuniqueness of the solutions is a major issue. A good strategy to reduce this inherent ambiguity of the inversion procedure is to introduce stratigraphic and structural information a priori to better construct the low-frequency background model. This is particularly relevant when studying heterogeneous deepwater turbidite reservoirs that form prolific, but complex, hydrocarbon plays in the Brazilian offshore basins. We evaluated a high-resolution inversion workflow applied to 3D seismic data at Marlim Field, Campos Basin, to recover acoustic impedance and porosity of the turbidites reservoirs. The Marlim sandstones consist of an Oligocene/Miocene deepwater turbidite system forming a series of amalgamated bodies. The main advantage of our workflow is to incorporate the interpreter’s knowledge about the local stratigraphy to construct an enhanced background model, and then extract a higher resolution image from the seismic data. High-porosity zones were associated to the reservoirs facies; meanwhile, the nonreservoir facies were identified as low-porosity zones.

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