[HTML][HTML] 油气勘探中海洋电磁技术的研究进展
柳建新， 郭天宇， 王博琛， 郭振威 - 石油物探, 2021 - xml-data.org
海洋地球物理是人类了解海底环境与海底资源的重要手段之一. 针对目标体的差异,
陆地上常用的重, 磁, 电, 震等物探方法在海洋环境下场均有相应的勘探方法. 回顾了过去20 …
陆地上常用的重, 磁, 电, 震等物探方法在海洋环境下场均有相应的勘探方法. 回顾了过去20 …
Marine controlled-source electromagnetic methods in the hydrocarbon industry: A tutorial on method and practice
L MacGregor, J Tomlinson - Interpretation, 2014 - pubs.geoscienceworld.org
We provide a tutorial on the marine controlled-source electromagnetic (CSEM) method
aimed at geoscientists and explorationists who are new to EM methods. This tutorial …
aimed at geoscientists and explorationists who are new to EM methods. This tutorial …
Bayesian inversion of marine CSEM data with a trans-dimensional self parametrizing algorithm
The posterior distribution of earth models that fit observed geophysical data convey
information on the uncertainty with which they are resolved. From another perspective, the …
information on the uncertainty with which they are resolved. From another perspective, the …
Sensitivity of surface flux simulations to hydrologic parameters based on an uncertainty quantification framework applied to the Community Land Model
Uncertainties in hydrologic parameters could have significant impacts on the simulated
water and energy fluxes and land surface states, which will in turn affect atmospheric …
water and energy fluxes and land surface states, which will in turn affect atmospheric …
A Bayesian model for gas saturation estimation using marine seismic AVA and CSEM data
We develop a Bayesian model to jointly invert marine seismic amplitude versus angle (AVA)
and controlled-source electromagnetic (CSEM) data for a layered reservoir model. We …
and controlled-source electromagnetic (CSEM) data for a layered reservoir model. We …
Bayesian geophysical inversion with trans-dimensional Gaussian process machine learning
SUMMARY A key aspect of geophysical inversion is the ability to model the earth with a low
dimensional representation. There exist various approaches to solve the inverse problem …
dimensional representation. There exist various approaches to solve the inverse problem …
Two-dimensional probabilistic inversion of plane-wave electromagnetic data: methodology, model constraints and joint inversion with electrical resistivity data
M Rosas-Carbajal, N Linde… - Geophysical Journal …, 2014 - academic.oup.com
Probabilistic inversion methods based on Markov chain Monte Carlo (MCMC) simulation are
well suited to quantify parameter and model uncertainty of nonlinear inverse problems. Yet …
well suited to quantify parameter and model uncertainty of nonlinear inverse problems. Yet …
A Bayesian approach for inverse modeling, data assimilation, and conditional simulation of spatial random fields
Y Rubin, X Chen, H Murakami… - Water Resources …, 2010 - Wiley Online Library
This paper addresses the inverse problem in spatially variable fields such as hydraulic
conductivity in groundwater aquifers or rainfall intensity in hydrology. Common to all these …
conductivity in groundwater aquifers or rainfall intensity in hydrology. Common to all these …
Bayesian inversion of marine CSEM data from the Scarborough gas field using a transdimensional 2-D parametrization
We apply a reversible-jump Markov chain Monte Carlo method to sample the Bayesian
posterior model probability density function of 2-D seafloor resistivity as constrained by …
posterior model probability density function of 2-D seafloor resistivity as constrained by …
Bayesian inversion of CSEM and magnetotelluric data
A Buland, O Kolbjørnsen - Geophysics, 2012 - library.seg.org
We have developed a Bayesian methodology for inversion of controlled source
electromagnetic (CSEM) data and magnetotelluric (MT) data. The inversion method …
electromagnetic (CSEM) data and magnetotelluric (MT) data. The inversion method …