Imaging condition to true‐amplitude shot‐profile migration

Vivas, Flor A.; Pestana, Reynam C.

doi:10.1190/1.2792965

Cited by 4 publications

(3 citation statements)

References 5 publications

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“…Pestana and dos Santos (2013) used the impedance sensitivity kernel instead of the conventional cross-correlation RTM imaging condition to attenuate low frequency artifacts. Moreover, several researchers tried to improve the amplitudes in RTM based on illumination compensation with different kinds of stabilization (Valenciano and Biondi 2003, Kaelin and Guitton 2006, Vivas and Pestana 2007.…”

Section: Conventional Imaging Conditionmentioning

confidence: 99%

Seismic Reverse Time Migration Using A New Wave-Field Extrapolator and a New Imaging Condition

et al. 2016

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Prestack reverse time migration (RTM), as a two way wave-field extrapolation method, can image steeply dipping structures without any dip limitation at the expense of potential increase in imaging artifacts. In this paper, an efficient symplectic scheme, called Leapfrog-Rapid Expansion Method (L-REM), is first introduced to extrapolate the wavefield and its derivative in the same time step with high accuracy and free numerical dispersion using a Ricker wavelet of a maximum frequency of 25 Hz. Afterwards, in order to suppress the artifacts as a characteristic of RTM, a new imaging condition based on Poynting vector and a type of weighting function is presented. The capability of the proposed new imaging condition is then tested on synthetic data. The obtained results indicate that the proposed imaging condition is able to suppress the RTM artifacts effectively. They also show the ability of the proposed approach for improving the amplitude and compensate for illumination.

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Section: Conventional Imaging Conditionmentioning

confidence: 99%

Seismic Reverse Time Migration Using A New Wave-Field Extrapolator and a New Imaging Condition

et al. 2016

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“…The classic Claerbout's (1971) imaging condition is a deconvolution imaging condition where the ratio of the upgoing and downgoing wave fields is used to get a direct estimate of the reflection coefficient. Different stabilization techniques have been proposed to avoid the division by zero or near to zero values of the downgoing wave field (Valenciano and Biondi (2003), Guitton et al (2006), Vivas and Pestana (2007)).…”

Section: Introductionmentioning

confidence: 99%

“…However, they advocate to compute a stable image by dividing with a spatially smoothed value of the illumination function. Here we follow the approach of Vivas and Pestana (2007) and implemented a more local and less severe stabilized procedure. For each source, frequency and depth level, the average, over horizontal coordinates, of the downgoing energy is computed.…”

Section: Introductionmentioning

confidence: 99%

A new stabilized least-squares imaging condition

2009

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The classical deconvolution imaging condition consists of dividing the upgoing wave field by the downgoing wave field and summing over all frequencies and sources. The least-squares imaging condition consists of summing the cross-correlation of the upgoing and downgoing wave fields over all frequencies and sources, and dividing the result by the total energy of the downgoing wave field. This procedure is more stable than using the classical imaging condition, but it still requires stabilization in zones where the energy of the downgoing wave field is small. To stabilize the least-squares imaging condition, the energy of the downgoing wave field is replaced by its average value computed in a horizontal plane in poorly illuminated regions. Applications to the Marmousi and Sigsbee2A data sets show that the stabilized least-squares imaging condition produces better images than the least-squares and cross-correlation imaging conditions.

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