Deep learning for seismic lithology prediction
Seismic prediction has been a huge challenge because of the great uncertainties contained
in the seismic data. Deep learning (DL) has been successfully applied in many fields and …
in the seismic data. Deep learning (DL) has been successfully applied in many fields and …
Estimation of porosity and fluid saturation in carbonates from rock-physics templates based on seismic Q
Rock-physics templates establish a link between seismic properties (eg, velocity, density,
impedance, and attenuation) and reservoir properties such as porosity, fluid saturation …
impedance, and attenuation) and reservoir properties such as porosity, fluid saturation …
Automatic noise attenuation based on clustering and empirical wavelet transform
W Chen, H Song - Journal of Applied Geophysics, 2018 - Elsevier
Strong noise in seismic data seriously affects many steps in seismic data processing and
imaging. While most traditional methods depend on carefully tuned input parameters by …
imaging. While most traditional methods depend on carefully tuned input parameters by …
Analysis of attenuation rock-physics template of tight sandstones: Reservoir microcrack prediction
MQ PANG, J BA, RP MA, TS CHEN - Chinese Journal of Geophysics, 2020 - en.dzkx.org
Tight-sandstone gas reservoirs have low porosity and contain developed microcracks, result
in the strong matrix heterogeneity. Due to the development of microcracks in tight sandstone …
in the strong matrix heterogeneity. Due to the development of microcracks in tight sandstone …
A structural rank reduction operator for removing artifacts in least-squares reverse time migration
Least-square reverse time migration (LSRTM) has been widely accepted because of its
exceptional performance in mitigating migration artifacts and preserving the reflection …
exceptional performance in mitigating migration artifacts and preserving the reflection …
Adaptive rank-reduction method for seismic data reconstruction
J Wu, M Bai - Journal of Geophysics and Engineering, 2018 - iopscience.iop.org
Seismic data reconstruction plays an important role in the whole seismic data processing
and imaging workflow, especially for those data that are acquired from severe field …
and imaging workflow, especially for those data that are acquired from severe field …
Plane-wave orthogonal polynomial transform for amplitude-preserving noise attenuation
Amplitude-preserving data processing is an important and challenging topic in many
scientific fields. The amplitude-variation details in seismic data are especially important …
scientific fields. The amplitude-variation details in seismic data are especially important …
Characterization of Gas Saturation in Tight-Sandstone Reservoirs with Rock-Physics Templates Based on Seismic
M Pang, J Ba, JM Carcione - Journal of Energy Engineering, 2021 - ascelibrary.org
Tight-sandstone gas reservoirs have low porosity and permeability, dissimilar pore types,
and generally high clay content. Partial saturation leads to local fluid flow induced by …
and generally high clay content. Partial saturation leads to local fluid flow induced by …
Bayesian seismic inversion for estimating fluid content and fracture parameters in a gas-saturated fractured porous reservoir
X Pan, G Zhang - Science China Earth Sciences, 2019 - Springer
Understanding the effects of in situ fluid content and fracture parameters on seismic
characteristics is important for the subsurface exploration and production of fractured porous …
characteristics is important for the subsurface exploration and production of fractured porous …
Experimental study on petrophysical properties as a tool to identify pore fluids in tight-rock reservoirs
The petrophysical properties can be proper indicators to identify oil and gas reservoirs, since
the pore fluids have significant effects on the wave response. We have performed ultrasonic …
the pore fluids have significant effects on the wave response. We have performed ultrasonic …