- Stochastic inversion of facies from seismic data based on sequential ...🔍
- Least|squares seismic inversion with stochastic conjugate gradient ...🔍
- Lithology prediction method of coal|bearing reservoir based ...🔍
- Joint Bayesian Stochastic Inversion of Well Logs and Seismic Data ...🔍
- A Stochastic Newton MCMC Method for Large|Scale Statistical ...🔍
- Modified Stochastic Inversion 🔍
- Stochastic and Deterministic Inversion Methods for History Matching ...🔍
- Integrated seismic stochastic inversion and multi|attributes to ...🔍
The Application of Stochastic Seismic Inversion Method ...
Stochastic inversion of facies from seismic data based on sequential ...
ABSTRACTWe presented a new methodology for seismic reservoir characterization that combined advanced geostatistical methods with traditional ...
Least-squares seismic inversion with stochastic conjugate gradient ...
Recently, various techniques to optimize these data-fitting seismic inversion problems have been implemented to cater for the industrial need ...
Lithology prediction method of coal-bearing reservoir based ... - OUCI
Stochastic seismic inversion can synthesize the geological–geophysical information and establish high-resolution reservoir models based on geostatistical theory ...
Joint Bayesian Stochastic Inversion of Well Logs and Seismic Data ...
The idea is to use stochastic seismic ... Geostatistical. Inversion –A Sequential Method for Stochastic. Reservoir Modelling Constrained by Seismic. Data.
A Stochastic Newton MCMC Method for Large-Scale Statistical ...
A Stochastic Newton MCMC Method for Large-Scale Statistical Inverse Problems with Application to Seismic Inversion · Abstract · Formats available · References.
Stochastic inversion is a geostatistical technique for inverting seismic data into rock properties ... permission to use seismic and well data in this paper.
Stochastic and Deterministic Inversion Methods for History Matching ...
In the local step, first the time-lapse seismic data is integrated using the streamline-derived sensitivities of acoustic impedance with respect ...
Integrated seismic stochastic inversion and multi-attributes to ...
The method that has been used is a stochastic inversion, which is integrated with multi-attribute seismic by applying neural network Probabilistic Neural ...
05-2 Inverse modeling: stochastic inversion - YouTube
Comments ; 05-3 Inverse modeling: stochastic optimization. Jef Karel Caers · 896 views ; 05-1 Inverse modeling: deterministic inversion. Jef Karel ...
One Dimensional Stochastic Inversion (ODiSI) Success Stories - Cegal
One Dimensional Stochastic Inversion (ODiSI) is an innovative approach to seismic inversion. Initially developed by BP, ODiSI is a method that ...
Geostatistical Reservoir Characterization in Barracuda Field ...
In such instances, geostatistical (stochastic) seismic inversion method provides more accurate reservoir volumes, and the uncertainties associated with the 3D ...
Stochastic Seismic Waveform Inversion using Generative ... - arXiv
We use gradients obtained from the adjoint method to perform MALA sampling of the posterior in the lower-dimensional set of latent variables. • ...
The implementation using stochastic optimization methods generally allows avoiding local minima of the objective function; however, the proposed ...
Linear seismic inversion - Wikipedia
Since seismic linear inversion is a deterministic inversion method, the stochastic method will not be discussed beyond this point. ... The forward model uses this ...
Constraining Stochastic Inversion with Frequency Domain Seismic ...
The technique involved stochastic inversions which use frequency domain energy spectral attribute as a constraint instead of time domain seismic amplitude.
Seismic Waveform Inversion by Stochastic Optimization - 2011
We explore the use of stochastic optimization methods for seismic waveform inversion. The basic principle of such methods is to randomly ...
A Seismic Inversion Method Based on Multi-Scale Super ... - MDPI
Current intelligent seismic inversion usually uses various simple networks to directly train various seismic data sets, and the characteristics of frequent ...
Optimization for stochastic inversion of post-stack seismic data
We demonstrate the performance of these methods with application to synthetic and field seismic data. Introduction. Inversion of seismic data plays a vital role ...
Direct Geostatistical Seismic Amplitude Versus Angle Inversion for ...
Geostatistical-based inversion methods are iterative pro- cedures that use a global optimizer based on different stochastic optimization algorithms, such as ...
Joint Bayesian Stochastic Inversion of Well Logs and Seismic Data ...
Here in, an application of a new seismic inversion algorithm in one of Iran's oilfields is described. Stochastic (geostatistical) seismic inversion, ...