Stochastic inversion combining seismic data

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

Pre-stack Seismic Probabilistic Inversion Method for Lithofacies and Elastic Parameters of Volcanic Reservoir · Data-Driven Seismic Impedance Inversion Based on ...

Monte Carlo reservoir analysis combining seismic reflection data ...

Mukerji, J. Dvorkin, and G. Mavko, 2012, Stochastic inversion of facies from seismic data based on sequential simulations and probabil- ity ...

Novel stochastic inversion methods and workflow for reservoir ...

... combines VFSA with greedy importance sampling (GIS), which uses ... The results demonstrate that joint inversion of production data and time-lapse seismic ...

Joint elastic and petrophysical inversion using prestack seismic and ...

Existing seismic inversion methods for the joint estimation of these properties are mainly based either on Gassmann theory for prestack seismic data processed ...

The Application of Stochastic Seismic Inversion Method of ...

Stochastic seismic inversion is an important part of geostatistical inversion method, and is the combination of seismic inversion and sequence simulation.

bayesian-inversion-methods-for-seismic-reservoir-characterization ...

models in a stochastic inversion by combining geostatistical methods ... images to seismic data: Stochastic simulation of synthetic seismograms, in Soares,.

The Application of Geostatistics Inversion in Reservoir Prediction

This combining stochastic modeling technique and the conventional seismic inversion method can be effectively integrated geology, logging and 3 d seismic data, ...

Physics-informed W-Net GAN for the direct stochastic inversion of ...

When fullstack seismic reflection data is inverted, the subsurface acoustic impedance ( ) can be used as the facies-dependent elastic property ...

8.6 HitCube Stochastic Inversion

For each model correspond a set of property logs that have been modeled. First the number of best models that sufficiently match the seismic data is selected.

A High Resolution Method for Fluid Prediction Based on ...

The inversion result is many data volumes with the same probability. The number of them is the same as that of stochastic simulation. During ...

Reservoir Solutions (RES) on LinkedIn: Seismic Inversion ...

**Stochastic Inversion**: - Stochastic ... **Geostatistical Inversion**: - Geostatistical inversion combines seismic data with geological ...

Bayesian Linear Seismic Inversion Integrating Uncertainty of Noise ...

In this paper, based on post-stack seismic data and well data, a seismic impedance inversion method combined with a linear Bayesian framework ...

Prestack seismic facies-controlled joint inversion of reservoir elastic ...

We employ the Gassmann equation to construct the relationship between the prestack seismic data and petrophysical parameters and use a low-pass filter matrix to ...

A combination of genetic inversion and seismic frequency attributes ...

Instantaneous frequency attribute was analyzed for potential hydrocarbon-charged sediments. This was achieved by utilizing thirty-three seismic ...

How Many Facies Can You Predict from Seismic Data? - Cegal

... Stochastic Inversion help geoscientists predict facies from seismic data with reduced uncertainty ... seismic inversion as it combines ...

Reducing uncertainties in hydrocarbon prediction through seismic ...

The stochastic seismic inversion approach integrates the sparse sampling of the well log data with the extensive areal coverage of the seismic data to produce ...

Direct Geostatistical Seismic Amplitude Versus Angle Inversion for ...

In the final step, the misfit between synthetic and real data is calculated and used as part of the stochastic update of the model parameter space. The whole ...

Stochastic Inversion of Gaussian Random Media Using Transverse ...

We validate the new reflection TCF formulas using 2-D elastic finite-difference numerically modeled seismic data. We also show the feasibility ...

Using Stochastic Seismic Inversion as Input for 3D Geomechanical ...

In these approaches, seismic data are typically inverted directly into a high-resolution geological model. Compared to deterministic inversion, ...

Stochastic seismic waveform inversion using generative adversarial ...

We perform Bayesian inversion using an approximate Metropolis-adjusted Langevin algorithm (MALA) to sample from the posterior given seismic ...