- Monte Carlo reservoir analysis combining seismic reflection data ...🔍
- Monte Carlo Analysis of Reservoir Models Using Seismic Data and ...🔍
- A Monte Carlo approach to the joint estimation of reservoir and ...🔍
- Direct reservoir property estimation based on prestack seismic ...🔍
- Bayesian Monte Carlo method for seismic predrill prospect ...🔍
- Markov chain Monte Carlo for petrophysical inversion🔍
- a framework for solving diverse geophysical inverse problems using ...🔍
- Estimation of Reservoir Fracture Properties from Seismic Data Using ...🔍
Monte Carlo reservoir analysis combining seismic reflection data ...
Monte Carlo reservoir analysis combining seismic reflection data ...
The joint approach using Monte Carlo methods based on a probabilistic framework provides some advantages. ... The algorithm explores the model space extensively, ...
Monte Carlo reservoir analysis combining seismic reflection data ...
Our aim is to develop an algorithm that is capable of inverting relatively large data sets combining geostatistics, rock physics, and seismology ...
Monte Carlo reservoir analysis combining seismic reflection data ...
We studied a methodology to invert seismic reflection data in the framework of the probabilistic approach to inverse problems, using a Markov chain Monte Carlo ...
Monte Carlo reservoir analysis combining seismic reflection data ...
Monte Carlo reservoir analysis combining seismic reflection data and informed priors ... © The SAO/NASA Astrophysics Data System. adshelp[at]cfa.harvard.edu.
Monte Carlo reservoir analysis combining seismic reflection data ...
Monte Carlo reservoir analysis combining seismic reflection data and informed priors. Zunino, A; Mosegaard, K; Lange, K; Melnikova, Y; Mejer Hansen, T ...
Monte Carlo Analysis of Reservoir Models Using Seismic Data and ...
We then combine a rock physics model with a simple convolutional approach for seismic waves to invert the ”measured” seismograms. To solve this inverse problem, ...
A Monte Carlo approach to the joint estimation of reservoir and ...
The combined probability depends on the seismic observed data, functions f共mgeo兲 and g共mphys,msou兲 solving the petrophysical and geophysical forward.
Direct reservoir property estimation based on prestack seismic ...
As a classic sampling algorithm, Markov Chain Monte Carlo methods are combined to numerically compute the posterior probability distribution in Bayesian ...
Bayesian Monte Carlo method for seismic predrill prospect ...
The method combines linearized amplitude variation with offset (AVO) inversion and stochastic rock models and predicts the joint probability distribution of the ...
Markov chain Monte Carlo for petrophysical inversion
... seismic data. Recent ... T. ,. 2015. ,. Monte Carlo reservoir analysis combining seismic reflection data and informed priors. : Geophysics. ,. 80.
a framework for solving diverse geophysical inverse problems using ...
AVA seismic reflection data + rock physics, 1-D, 2-D, 3 ... T. ,. 2015 . Monte Carlo reservoir analysis combining seismic reflection data and informed priors.
Estimation of Reservoir Fracture Properties from Seismic Data Using ...
... reservoirs. A stochastic method based on a Markov chain Monte Carlo (MCMC) algorithm is proposed to estimate fracture properties using a ...
Joint estimation of reservoir and elastic parameters from seismic ...
We use a Monte Carlo method for the joint inference of the total porosity and acoustic impedance in a reservoir area, combining petrophysical and seismic ...
Geological structure-guided hybrid MCMC and Bayesian linearized ...
Markov Chain Monte Carlo (MCMC) based seismic inversion approach is a ... The use of recorded seismic reflection data and well logs to obtain the ...
Andrea Zunino - Niels Bohr Institutet
Zunino, A., Mosegaard K., Lange K., Melnikova Y. and Mejer Hansen T. (2015), Monte Carlo reservoir analysis combining seismic reflection data and informed ...
A Monte Carlo approach to the joint estimation of reservoir and ...
... reservoir area, combining petrophysical and seismic information. In ... reflection seismic data because of its simplicity and low computational ...
Uncertainty analysis of depth predictions from seismic reflection data ...
2012) uses a combination of Bayesian methods, such as emulation and BHM, to quantify these uncertainties. Our approach is based on a discrete ...
Ph.D. Thesis Uncertainty Quantification in Seismic Subsurface ...
Monte Carlo reservoir analysis combining seismic reflection data and informed priors, Geophysics, 80, R31–R41. Downloaded from https ...
Abstract - CSIRO PUBLISHING | Exploration Geophysics
Estimation of reservoir properties from seismic data through a Markov Chain Monte Carlo-AVA inversion algorithm ... | Monte Carlo reservoir analysis combining ...
[PDF] Seismic inversion for reservoir properties combining statistical ...
Monte Carlo reservoir analysis combining seismic reflection data and informed priors · Engineering, Geology · 2015.