Stochastic inversion combining seismic data

Stochastic inversion combining seismic data, facies properties, and ...

Then, using a normalized, cross-correlation function we select the realization that provides the best-match between synthetic seismogram and the input seismic ...

Stochastic inversion combining seismic data, facies properties, and ...

Abstract. We proposed a novel seismic inversion approach that integrates the physical properties of litho-facies, and geophysical data, within a multiple-point ...

"Stochastic inversion combining seismic data, facies properties, and ...

We proposed a novel seismic inversion approach that integrates the physical properties of litho-facies, and geophysical data, within a multiple-point ...

Stochastic inversion combining seismic data, facies properties, and ...

Abstract. We proposed a novel seismic inversion approach that integrates the physical properties of litho-facies, and geophysical data, ...

Petrophysical-properties stochastic inversion combining ...

Petrophysical-properties stochastic inversion combining geostatistics and statistical rock-physics: applications to seismic data near ODP1144 · Abstract ...

Stochastic inversion combining seismic data, facies properties, and ...

A new stochastic inversion method under control of sedimentary facies is proposed, which can incorporate the spatial structure and correlation ...

The Application of Stochastic Seismic Inversion Method of ...

Therefore, this method combines the advantages of vertical resolution of logging and lateral resolution of seismic data. 3. Realization of geostatistical.

Stochastic inversion combining seismic data, facies properties, and ...

Semantic Scholar extracted view of "Stochastic inversion combining seismic data, facies properties, and advanced multiple-point geostatistics" by Mohammed ...

Multivariate stochastic seismic inversion with adaptive sampling

The closeness to the original seismic data may be degraded through the sequential connections due to an element of randomness at each step. To address the ...

Stochastic Seismic Inversion Applied to Reservoir Characterization

Stochastic seismic inversion provides a unique framework wherein the advantages of seismic and log data can be combined. The stochastic impedance volume derives ...

Petrophysical-properties stochastic inversion combining ... - OnePetro

In reservoir characterization, elastic parameters inverted from seismic data are not enough. The petrophysical-properties and fluid contained (such as lithology ...

Stochastic inversion of prestack seismic data using fractal-based ...

The new stochastic inversion method addresses frequencies missing because of band limitation of the wavelet; it combines the low- and high-frequency varia- tion ...

An improved stochastic inversion for joint estimation of seismic ...

Abstract. Stochastic seismic inversion works as an important technology to estimate the elastic parameters of subsurface media to guide lithology predictio.

Stochastic Seismic Waveform Inversion Using Generative ...

We combine a generative adversarial network representing an a priori model that generates geological heterogeneities and their petrophysical ...

Stochastic inversion combining seismic data, facies properties, and ...

Aleardi, A two-step inversion approach for seismic-reservoir characterization and a comparison with a single-loop Markov-chain Monte Carlo algorithm, Geophysics ...

Joint Bayesian Stochastic Inversion of Well Logs and Seismic Data ...

inversion, is perceived as contribution combination of geostatistics and seismic inversion algorithm. This method integrates information from different data ...

Stochastic inversion of seismic data for reservoir characterization

ABSTRACT. One of the emerging technologies in geophysics is the stochastic inversion of geophysical data for the prediction of rock and ...

Stochastic inversion of seismic PP and PS data for reservoir ...

We extended a model-based Bayesian method developed previously for inverting seismic PP data only, by including PS responses and time ...

Stochastic seismic inversion for static reservoir modeling - SPG India

data and dense spatial sampling of soft seismic data. ... The method is developed by TOTAL and CGG that combines geostatistical stochastic inversion (which.

Anisotropic Bayesian linearized stochastic seismic inversion with ...

However, an inevitable challenge in stochastic inversion arises from interference during the calibration of statistical and spatial correlations of subsurface ...