A comprehensive analysis on the relationships between elastic wave velocities and petrophysical properties of sedimentary rocks based on laboratory measurements
This paper is an attempt to find the interdependence existing between petrophysical
properties and ultrasonic wave velocities. Porosity and permeability, apart from other …
properties and ultrasonic wave velocities. Porosity and permeability, apart from other …
Intelligent AVA inversion using a convolution neural network trained with pseudo-well datasets
The amplitude-variation-with-angle (AVA) inversion for seismic data has been widely used
for hydrocarbon detection in exploration seismology. Traditional AVA inversion quantitatively …
for hydrocarbon detection in exploration seismology. Traditional AVA inversion quantitatively …
Imputation of missing well log data by random forest and its uncertainty analysis
Well logs are commonly used by geoscientists to infer and extrapolate physical properties of
subsurface rocks. However, at some depth intervals, well log values might be missing due to …
subsurface rocks. However, at some depth intervals, well log values might be missing due to …
[BOOK][B] Seismic reservoir modeling: Theory, examples, and algorithms
Seismic reservoir characterization aims to build 3-dimensional models of rock and fluid
properties, including elastic and petrophysical variables, to describe and monitor the state of …
properties, including elastic and petrophysical variables, to describe and monitor the state of …
Bayesian linearized rock-physics inversion
D Grana - Geophysics, 2016 - library.seg.org
The estimation of rock and fluid properties from seismic attributes is an inverse problem.
Rock-physics modeling provides physical relations to link elastic and petrophysical …
Rock-physics modeling provides physical relations to link elastic and petrophysical …
Porosity prediction using semi-supervised learning with biased well log data for improving estimation accuracy and reducing prediction uncertainty
W Sang, S Yuan, H Han, H Liu… - Geophysical Journal …, 2023 - academic.oup.com
Porosity characterization is of profound significance for seismic inversion and hydrocarbon
prediction. Although semi-supervised learning (SSL) based methods have been used to …
prediction. Although semi-supervised learning (SSL) based methods have been used to …
Bayesian Gaussian mixture linear inversion for geophysical inverse problems
A Bayesian linear inversion methodology based on Gaussian mixture models and its
application to geophysical inverse problems are presented in this paper. The proposed …
application to geophysical inverse problems are presented in this paper. The proposed …
[HTML][HTML] Compressional and shear wave attenuations from walkway VSP and sonic data in an offshore Abu Dhabi oilfield
Résumé Seismic attenuation was estimated from compressional (P) and shear (S) waves
carefully extracted from three-component vertical seismic profiling (VSP) data. A high …
carefully extracted from three-component vertical seismic profiling (VSP) data. A high …
Joint Bayesian inversion based on rock-physics prior modeling for the estimation of spatially correlated reservoir properties
The joint inversion of seismic data for elastic and petrophysical properties is an inverse
problem with a nonunique solution. There are several factors that impact the accuracy of the …
problem with a nonunique solution. There are several factors that impact the accuracy of the …
From petrophysical properties to forward-seismic modeling of facies heterogeneity in the carbonate realm (Majella Massif, central Italy)
Forward modeling is a fundamental support to study the seismic response of reservoirs
structure and subsurface architectures. Carbonate reservoirs result in non-univocal seismic …
structure and subsurface architectures. Carbonate reservoirs result in non-univocal seismic …