Cross-property rock physics relations for estimating low-frequency seismic impedance trends from electromagnetic resistivity data

Mukerji, Tapan; Mavko, Gary; Gomez, Carmen T.

doi:10.1190/1.3064153

Cited by 17 publications

(7 citation statements)

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“…Carcione, Ursin and Nordskag (2007) obtained cross‐property relations between electrical conductivity (the reciprocal of resistivity) and elastic velocity using different combinations of electromagnetic and elastic models. Similar work includes Brito Dos Santos, Ulrych and de Lima (1988) and Mukerji, Mavko and Gomez (2009). However, the different theoretical relations have to be tested against observations, such as laboratory experiments on synthetic or real rocks, before they can be applied to practical work.…”

Section: Introductionmentioning

confidence: 99%

Joint elastic-electrical properties of reservoir sandstones and their relationships with petrophysical parameters

Han

Best

Sothcott

et al. 2011

Geophysical Prospecting

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A B S T R A C TWe measured in the laboratory ultrasonic compressional and shear-wave velocity and attenuation (0.7-1.0 MHz) and low-frequency (2 Hz) electrical resistivity on 63 sandstone samples with a wide range of petrophysical properties to study the influence of reservoir porosity, permeability and clay content on the joint elasticelectrical properties of reservoir sandstones. P-and S-wave velocities were found to be linearly correlated with apparent electrical formation factor on a semi-logarithmic scale for both clean and clay-rich sandstones; P-and S-wave attenuations showed a bell-shaped correlation (partial for S-waves) with apparent electrical formation factor. The joint elastic-electrical properties provide a way to discriminate between sandstones with similar porosities but with different clay contents. The laboratory results can be used to estimate sandstone reservoir permeability from seismic velocity and apparent formation factor obtained from co-located seismic and controlled source electromagnetic surveys.

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Section: Introductionmentioning

confidence: 99%

Joint elastic-electrical properties of reservoir sandstones and their relationships with petrophysical parameters

Han

Best

Sothcott

et al. 2011

Geophysical Prospecting

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“…In many cases, signs of correlation between velocity, density, and resistivity can be observed from geologic considerations (Birch, 1961;Lines et al, 1988;Meju et al, 2003). Cross-properties of rocks are fundamental for successful integration of multiple data sets to enhance the characterization of subsurface rock properties (Harris and MacGregor, 2006;Chen and Dickens, 2009;Mukerji et al, 2009). For the seismic inversion, petrophysical relations can be used as a constraint for the inversion.…”

Section: Petrophysical Couplingmentioning

confidence: 98%

Cooperative joint inversion of 3D seismic and magnetotelluric data: With application in a mineral province

et al. 2015

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The integration of different geophysical data has the potential to provide more accurate estimate of subsurface rock properties. Several methodologies and attempts have been developed over the years with the objective of reducing exploration risk. We have developed a cooperative joint-inversion approach intended to facilitate recovery of acoustic impedance (AI) using seismic and magnetotelluric (MT) data. In this approach, the MT data provided a pathway for iteratively building large-scale low-frequency information content not directly recoverable from the seismic data themselves. The MT data provided complementary information to seismic, especially in seismically complex terrains such as overthrust belts, subbasalt and subsalt, carbonate reefs or for targets below deep cover containing limestone, concretionary layers, or basalt. On the other hand, the seismic data provided structural information necessary to derive accurate resistivity models from MT inversion and small-scale features during seismic impedance inversion. The connections between resistivity and the elastic property of rocks are obtained from petrophysical relationships derived from available borehole data, or if not available, from empirical relationships. We tested our technique on synthetic and field data. The application of cooperative joint inversion to 3D seismic and MT data sets acquired in a mineral province made it possible to recover AI distribution across a wide range of geologic environments. The resulting rock property images provided a direct link to geology that is exceedingly difficult, if not impossible, to extract from the individual data sets.

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“…Seismic velocities contain a very narrow range of reliable frequencies from zero up to approximately 2-3 Hz (a point that will be discussed later), and they normally provide compressional velocity data only. There are potentially other sources of data, such as electromagnetic data, which contain low frequencies that might be considered as an aid to building a lowfrequency model (e.g., Mukerji et al, 2009), but these are not discussed here.…”

Section: Building Low-frequency Modelsmentioning

confidence: 99%

Stuck between a rock and a reflection: A tutorial on low-frequency models for seismic inversion

Sams¹,

Carter²

2017

Interpretation

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Predicting the low-frequency component to be used for seismic inversion to absolute elastic rock properties is often problematic. The most common technique is to interpolate well data within a structural framework. This workflow is very often not appropriate because it is too dependent on the number and distribution of wells and the interpolation algorithm chosen. The inclusion of seismic velocity information can reduce prediction error, but it more often introduces additional uncertainties because seismic velocities are often unreliable and require conditioning, calibration to wells, and conversion to S-velocity and density. Alternative techniques exist that rely on the information from within the seismic bandwidth to predict the variations below the seismic bandwidth; for example, using an interpretation of relative properties to update the low-frequency model. Such methods can provide improved predictions, especially when constrained by a conceptual geologic model and known rock-physics relationships, but they clearly have limitations. On the other hand, interpretation of relative elastic properties can be equally challenging and therefore interpreters may find themselves stuck — unsure how to interpret relative properties and seemingly unable to construct a useful low-frequency model. There is no immediate solution to this dilemma; however, it is clear that low-frequency models should not be a fixed input to seismic inversion, but low-frequency model building should be considered as a means to interpret relative elastic properties from inversion.

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Cross-property rock physics relations for estimating low-frequency seismic impedance trends from electromagnetic resistivity data

Cited by 17 publications

References 0 publications

Joint elastic-electrical properties of reservoir sandstones and their relationships with petrophysical parameters

Joint elastic-electrical properties of reservoir sandstones and their relationships with petrophysical parameters

Cooperative joint inversion of 3D seismic and magnetotelluric data: With application in a mineral province

Stuck between a rock and a reflection: A tutorial on low-frequency models for seismic inversion

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