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Factors controlling elastic properties in carbonate sediments and rocks. Being mainly of biological origin, carbonates have complex textures and are susceptible to diagenesis modifications, leading to mineralogy and pore structure changes that make these rocks more difficult to model ( Eberli et al., 2003 EBERLI G.P., BAECHLE, G.T., ANSELMETTI, F.S., INCZE, M.L. One of the obstacles in applying SPSI to carbonate rocks is that, in contrast with sandstones, these lithotypes are vertically and laterally heterogeneous and represent a complex challenge regarding reservoir characterization.
#Hampson russell seismic interpretation software
AVO, inversion or AVO inversion ? Hampson-Russel´s software solution. In this context, SPSI is considered to be the ultimate method that combines AVO data with seismic inversion techniques ( Goffey, 2013 GOFFEY, R. Recent applications of AVO to carbonate reservoirs in the Western Canadian Sedimentary Basin. Therefore, the S-wave information is crucial to discriminate among reservoir and non-reservoir rocks ( Li et al., 2003 LI, Y., DOWNTON, J., GOODWAY, B. The Vs information used in prestack seismic inversion can solve, e.g, the duality between porosity in carbonates and shales, in which Zp alone cannot solve. The prestack inversion emerges from the need for extracting more information from seismic data to solve geological problems that are not answered by poststack inversion.
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Reservoir compartment prediction of the Simpson field from the geostatistical inversion of AVO seismic data. Jarvis et al., 2007 JARVIS, K., FOLKERS, A., SAUSSUS, D. However, when we analyze Zp, Zs and ρ models together, we can reinforce this hypothesis because the extraction of multiple elastic properties from seismic data enhances the probability of identifying different rock groups (see e.g. Even though the Zp model can provide such information, it does not discriminate porosities between carbonates and shales ( Li et al., 2003 LI, Y., DOWNTON, J., GOODWAY, B. points out that it is common to find empirical relationships between Zp and rock properties such as lithology and porosity. An interpreter's guide to understanding and working with seismic-derived acoustic impedance data. Postack, prestack and elastic seismic inversions are among those methods that assist the characterization of hydrocarbon reservoirs. In the last few decades the oil industry has been focusing on the improvement of various methods to solve current geological problems, such as the modeling of pre-salt carbonate reservoirs in Brazil. Prestack seismic inversion carbonate reservoir Campos basin This well shows an impedance pattern that allowed us to highlight other areas with the same pattern throughout the entire seismic volume. One well in particular was interpreted as having high potential to contain hydrocarbons. These models show low impedance anomalies that are consistent with previous studies performed with the well logs. These analyses provided criteria to select the best inverted models. Interpretations of the inversion results were conducted based on patterns found along well logs such as resistivity (ILD), gamma ray (GR), density (RHOB), neutron porosity (NPHI) and sonic (DT). Final 3-D models were calculated from deviations in linear relationships between the logarithms of Zs and Zp, as well as between ρ and Zp, which were merged with the initial models. Wells without Vs and ρ curves had those values calculated from well-established equations. P-wave velocity (Vp), S-wave velocity (Vs) and density (ρ) curves along seven wells were used as inputs to construct 3-D initial models of acoustic impedance (Zp), shear impedance (Zs) and ρ. Based on what is found in nearby fields, this Formation potentially contains hydrocarbon accumulations that can be revealed with the inverted models. The goal was to study the application of this method to Albian carbonate rocks of the Quissamã Formation. We applied a method of Simultaneous Prestack Seismic Inversion (SPSI) in a hydrocarbon field located in the Campos Basin, Brazil.