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Roman Pevzner

Professor

Curtin University

Australia

Research Interests

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Roman Pevzner is a Professor at Curtin University, Australia. His research focuses on seismic data analysis, including the application of distributed acoustic sensing (DAS) in various geological contexts, such as carbon storage monitoring and mineral exploration. Recent publications highlight his contributions to understanding seismic wave behavior and enhancing measurement techniques through advanced methods, including deep learning.

Articles (21)

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Collaborators (6)

Serge Shapiro

Professor of Geophysics

Freie Universität Berlin

GERMANY

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Konstantin Tertyshnikov

Curtin University

AUSTRALIA

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Boris Gurevich

Curtin University

AUSTRALIA

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David Lumley

Professor, Dept Head, Cecil and Ida Green Endowed Chair in Geophysics

University of Texas at Dallas

UNITED STATES

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Maxim Lebedev

Professor

Edith Cowan University

AUSTRALIA

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Matthew Becker

California State University, Long Beach

UNITED STATES

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Roman Pevzner

Research Interests

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Articles (21)

Crosshole seismic monitoring of CO 2 plume evolution with an electric sparker source and distributed acoustic sensors

Argus: A Sparse-Label Machine-Learning Workflow for Passive DAS Seismic Catalogue Expansion in CO2 Storage Monitoring—Application to the CO2CRC Otway Stage 4 Dataset

Model-Driven Processing of Passive Seismic While Drilling Data Acquired Using Distributed Acoustic Sensing Without Conventional Drill-Bit Pilot Measurements

Near-Field Seismic Scattering Explains the Variation of DAS Amplitudes Inside a Leakage of Supercritical CO2

Passive Multichannel Analysis of Surface Waves: A Two-Dimensional Seismic Dataset Acquired with Geophones and Distributed Acoustic Sensing at a Mineral Exploration Site in the Pilbara Region of Western Australia

Laboratory observation of stress and saturation effects on shear-wave anisotropy

What formation properties control distributed acoustic sensor amplitudes of direct P waves in layered media?

Feasibility of targeted active seismic monitoring of geological carbon storage using refracted waves

Removing Instrumental Noise in Distributed Acoustic Sensing Data: A Comparison Between Two Deep Learning Approaches

Supervised Deep Learning for Detecting and Locating Passive Seismic Events Recorded with DAS: A Case Study

3D DAS VSP for Coal Seam Exploration: A Case Study from Queensland, Australia

Characterization of Aquifer Poroelastic Response to Impulse and Oscillatory Well Pressure Using Distributed Acoustic Sensing

Multiwell Fiber Optic Sensing Reveals Effects of CO2 Flow on Triggered Seismicity

The Effect of the Method of Downhole Deployment on Distributed Acoustic Sensor Measurements: Field Experiments and Numerical Simulations

A Small CO2 Leakage May Induce Seismicity on a Sub‐Seismic Fault in a Good‐Porosity Clastic Saline Aquifer

Evidence of Nonlinear Seismic Effects in the Earth from Downhole Distributed Acoustic Sensors

Ambient seismic noise in an urban environment: case study using downhole distributed acoustic sensors at the Curtin University campus in Perth, Western Australia

Monitoring Injected CO2 Using Earthquake Waves Measured by Downhole Fibre-Optic Sensors: CO2CRC Otway Stage 3 Case Study

Effect of Source Mispositioning on the Repeatability of 4D Vertical Seismic Profiling Acquired with Distributed Acoustic Sensors

Comparison of Amplitude Measurements on Borehole Geophone and DAS Data

Experimental study of temperature change effect on distributed acoustic sensing continuous measurements

Collaborators (6)

Serge Shapiro

Konstantin Tertyshnikov

Boris Gurevich

David Lumley

Maxim Lebedev

Matthew Becker

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