Unsupervised seismic facies analysis via deep convolutional autoencoders

F Qian, M Yin, XY Liu, YJ Wang, C Lu, GM Hu - Geophysics, 2018 - library.seg.org
One of the most important goals of seismic stratigraphy studies is to interpret the elements of
the seismic facies with respect to the geologic environment. Prestack seismic data carry rich …

Synthetic seismic forward modeling of a high-frequency depositional sequence: The example of the Tiber depositional sequence (Central Italy)

A Tomassi, S Milli, D Tentori - Marine and Petroleum Geology, 2024 - Elsevier
This research presents the results of a synthetic seismic forward modeling carried out by
generating stacked sections of the stratigraphic-depositional architecture in the high …

Recent developments in local wave decomposition methods for understanding seismic data: Application to seismic interpretation

Y Xue, J Cao, X Wang, Y Li, J Du - Surveys in Geophysics, 2019 - Springer
This article provides a general overview of local wave decomposition (LWD) methods
including empirical mode decomposition (EMD), ensemble EMD, complete ensemble EMD …

A mobile telematics pattern recognition framework for driving behavior extraction

M Siami, M Naderpour, J Lu - IEEE Transactions on Intelligent …, 2020 - ieeexplore.ieee.org
Mobile telematics is a relatively new innovation that involves collecting data on driving
behavior using the internal sensors in a smartphone rather than from an in-vehicle data …

Well-log and seismic data integration for reservoir characterization: A signal processing and machine-learning perspective

S Chaki, A Routray, WK Mohanty - IEEE Signal Processing …, 2018 - ieeexplore.ieee.org
Reservoir characterization (RC) is a process of finding petrophysical properties of the
subsurface mainly from the seismic and well-log data. The nonlinear and heterogeneous …

A novel identification method of microseismic events based on empirical mode decomposition and artificial neural network features

J Tian, Z Tian, M Zhang, Q Meng, A Zhang, C Liu… - Journal of Applied …, 2024 - Elsevier
Microseismic technology has been widely used in geological hazard monitoring. However,
the effective identification and classification of microseismic events in mines have always …

Integration of well log-derived facies and 3D seismic attributes for seismic facies map**: A case study from mansuri oil field, SW Iran

I Zahmatkesh, A Kadkhodaie, B Soleimani… - Journal of Petroleum …, 2021 - Elsevier
The recognition and map** of rock facies is a pivotal step in reliable reservoir
characterization and planning development operations. The present study aimed to present …

Risk assessment through big data: an autonomous fuzzy decision support system

M Siami, M Naderpour, F Ramezani… - IEEE Transactions on …, 2024 - ieeexplore.ieee.org
Decision support systems (DSSs) are computer-based systems that support managers in
making operational, tactical, and strategic decisions. DSSs have been built to assist with a …

Multi-waveform classification for seismic facies analysis

C Song, Z Liu, Y Wang, X Li, G Hu - Computers & Geosciences, 2017 - Elsevier
Seismic facies analysis provides an effective way to delineate the heterogeneity and
compartments within a reservoir. Traditional method is using the single waveform to classify …

Towards plausible lithological classification from geophysical inversion: honouring geological principles in subsurface imaging

J Giraud, M Lindsay, M Jessell, V Ogarko - Solid Earth, 2020 - se.copernicus.org
We propose a methodology for the recovery of lithologies from geological and geophysical
modelling results and apply it to field data. Our technique relies on classification using self …