Recent applications of AVO to carbonate reservoirs in the Western Canadian Sedimentary Basin

Li, Yongyi; Downton, Jon; Goodway, Bill

doi:10.1190/1.1599694

Cited by 36 publications

(16 citation statements)

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“…Latimer et al (2000) points out that it is common to find empirical relationships between Zp and rock properties such as lithology and porosity. Even though the Zp model can provide such information, it does not discriminate porosities between carbonates and shales (Li et al, 2003). However, when we analyze Zp, Zs and r 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.…”

Section: Introductionsupporting

confidence: 55%

“…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. Therefore, the S-wave information is crucial to discriminate among reservoir and non-reservoir rocks (Li et al, 2003). In this context, SPSI is considered to be the ultimate method that combines AVO data with seismic inversion techniques (Goffey, 2013).…”

Section: Introductionmentioning

confidence: 99%

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Simultaneous prestack seismic inversion in a carbonate reservoir

Cataldo

Leite

2018

REM, Int. Eng. J.

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We applied a method of Simultaneous Prestack Seismic Inversion (SPSI) in a hydrocarbon field located in the Campos Basin, Brazil. The goal was to study the application of this method to Albian carbonate rocks of the Quissamã Formation. Based on what is found in nearby fields, this Formation potentially contains hydrocarbon accumulations that can be revealed with the inverted models. P-wave velocity (Vp), S-wave velocity (Vs) and density (r) curves along seven wells were used as inputs to construct 3-D initial models of acoustic impedance (Zp), shear impedance (Zs) and r. Wells without Vs and r curves had those values calculated from well-established equations. Final 3-D models were calculated from deviations in linear relationships between the logarithms of Zs and Zp, as well as between r and Zp, which were merged with the initial 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). These analyses provided criteria to select the best inverted models. These models show low impedance anomalies that are consistent with previous studies performed with the well logs. One well in particular was interpreted as having high potential to contain hydrocarbons. This well shows an impedance pattern that allowed us to highlight other areas with the same pattern throughout the entire seismic volume.

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Section: Introductionsupporting

confidence: 55%

Section: Introductionmentioning

confidence: 99%

Simultaneous prestack seismic inversion in a carbonate reservoir

Cataldo

Leite

2018

REM, Int. Eng. J.

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“…Our emphasis is placed on the properties of crystalline igneous and metamorphic rocks. For the λ values of common sedimentary rocks (i.e., sandstone, shale, limestone and dolomite) and their applications in the exploration of oil or gas reservoirs, the reader is referred to the papers of Goodway et al [1997], Goodway [2001], Gray and Andersen [2000], Dufour et al [2002], Gray [2003], and Li et al [2003].…”

Section: Introductionmentioning

confidence: 99%

Lamé parameters of common rocks in the Earth's crust and upper mantle

Sun

Wang

et al. 2010

J. Geophys. Res.

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[1] Lamé parameter (l) and shear modulus (m) are the most important, intrinsic, elastic properties of rocks. The Lamé parameter l, which relates stresses and strains in perpendicular directions, is closely related to the incompressibility and contains a high proportion of information about the resistance to a change in volume caused by a change in pressure. Recent studies have emphasized the roles played by l in the discrimination of gas sands from carbonates and shale in sedimentary basins and in the seismic reflection of crustal fault zones. Here we analyze the equivalent isotropic elastic data of 475 natural rocks in order to characterize l values for common types of crystalline rocks in the Earth's crust and upper mantle and their variations with pressure (P), temperature (T), and mineralogical composition. When no partial melting, metamorphic reaction, dehydration, or phase transformation occurs, l of a crystalline rock as a function of P and T can be described by l = a + (dl/dP)P − c exp(− kP) − (dl/dT)T, where a is the projected l value at zero pressure if microcracks were fully closed; dl/dP is the pressure derivative in the linear elastic regime; c is the initial l drop caused by the presence of microcracks at zero pressure; k is a decay constant of the l drop in the nonlinear poroelastic regime; and dl/dT is the temperature derivative. The parameter l increases nonlinearly and linearly with increasing pressure at low (<∼300 MPa) and high (>∼300 MPa) pressures, respectively. In the regime of high pressures, l decreases quasi-linearly with increasing temperature with dl/dT values in the range of 1-10 × 10 −3 GPa/°C. Approaching the a-b quartz transition temperature, quartzite displays negative l values. In the l-r (density) and m-l plots, the main categories of lithology can be clearly distinguished. The ultramafic rocks display systematic decreases in both m and l with increasing the degree of serpentinization. Eclogites, mafic rocks (gabbro, diabase, mafic granulite, and mafic gneiss), and felsic rocks (granite, diorite, felsic gneiss, intermediate gneiss, and metasediments) are characterized by high, moderate, and low m and l values, respectively. For pyroxene and olivine, both l and r increase, but m decreases with increasing the Fe/Mg ratios. In the plagioclase series, both l and m increases with increasing the anorthite content. Increases in the contents of garnets, sillimanite, rutile, zircon, ilmenite, and spinel result systematically in an increase in rock's l and m values. The present results provide improved constraints on the discrimination of composition for crustal and upper mantle rocks in terms of l and m.

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“…We can observe AVO effects on carbonates, but these are generally more subtle (Li et al, 2003) than in a clastic-type reservoir due to the lower sensitivity of the response of carbonate rocks to porosity and fluid. In the selected data, the dominance of class I (Rutherford and Williams, 1989) anomalies can also make the interpretation difficult.…”

Section: Geologic Contextmentioning

confidence: 93%

A new technique for lithology and fluid content prediction from prestack data: An application to a carbonate reservoir

et al. 2015

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One of the leading challenges in hydrocarbon recovery is predicting rock types/fluid content distribution throughout the reservoir away from the boreholes because rock property determination is a major source of uncertainty in reservoir modeling studies. Spatial determination of the lateral and vertical heterogeneities has a direct impact on a reservoir model because it will affect the property distributions. An inappropriate determination of the facies distribution will lead to unrealistic reservoir behavior. Because these data can take different forms (lithologs, cuttings, and for seismic, poststack, and prestack attributes) and have different resolutions, the manual integration of all the information can be tedious and is sometimes impractical. We developed a new neural network-based methodology called democratic neural network association (DNNA). The DNNA method was trained using lithology logs from wells simultaneously with prestack seismic data. This technique, using a probabilistic approach, aims to find patterns in seismic that will predict lithology distribution and uncertainty. IntroductionThe economic viability of a field is dependent on the quality and accuracy of lithology distribution prediction, as well as by the heterogeneity of a potential reservoir. These components are the keys to successful hydrocarbon exploration and production. The rise in unconventional resource prospecting and the increasing complexity of conventional plays have made accurate lithology prediction even more critical. All relevant data must be used optimally to determine lithology at the prospect scale with the highest degree of resolution, resulting in the most geologically meaningful lithology distribution. Risk increases with complexity, however, and the probability of success and the integration of uncertainty into the nature and distribution of lithology must be taken into account in any approach that tries to predict lithology.Conventional approaches are mainly based on 2D or 3D analyses of inverted data to describe the elastic properties of the reservoir. However, precise lithology description in such attribute spaces often overlaps. This makes it difficult to clearly differentiate, for example, intermediate-type facies such as thin interbedded layers. The result is nonunique and highly sensitive to facies interpretation. It, therefore, becomes critical to estimate reservoir connectivity, as some lower qual-

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Recent applications of AVO to carbonate reservoirs in the Western Canadian Sedimentary Basin

Cited by 36 publications

References 0 publications

Simultaneous prestack seismic inversion in a carbonate reservoir

Simultaneous prestack seismic inversion in a carbonate reservoir

Lamé parameters of common rocks in the Earth's crust and upper mantle

A new technique for lithology and fluid content prediction from prestack data: An application to a carbonate reservoir

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