An overview of multimethod imaging approaches in environmental geophysics

FM Wagner, S Uhlemann - Advances in Geophysics, 2021 - Elsevier
Quantitative characterization of subsurface properties is critical for many environmental
applications and serves as the basis to simulate and better understand dynamic subsurface …

On the field estimation of moisture content using electrical geophysics: The impact of petrophysical model uncertainty

CHM Tso, O Kuras, A Binley - Water Resources Research, 2019 - Wiley Online Library
The spatiotemporal distribution of pore water in the vadose zone can have a critical control
on many processes in the near‐surface Earth, such as the onset of landslides, crop yield …

Data‐driven design of wave‐propagation models for shale‐oil reservoirs based on machine learning

F Xiong, J Ba, D Gei… - Journal of Geophysical …, 2021 - Wiley Online Library
The exploration and exploitation of shale oil is an important aspect in the oil industry.
Seismic properties and well‐log data are essential to establish wave‐propagation models …

[HTML][HTML] Deep learning a poroelastic rock-physics model for pressure and saturation discrimination

W Weinzierl, B Wiese - Geophysics, 2021 - pubs.geoscienceworld.org
Determining saturation and pore pressure is relevant for hydrocarbon production as well as
natural gas and CO 2 storage. In this context, seismic methods provide spatially distributed …

Stochastic inversion method of time-lapse controlled source electromagnetic data for CO2 plume monitoring

M Ayani, D Grana, M Liu - International Journal of Greenhouse Gas Control, 2020 - Elsevier
Carbon dioxide storage in deep saline aquifers can potentially reduce the CO 2
concentration in the atmosphere due to anthropogenic activities with limited environmental …

Biot's equations-based reservoir parameter inversion using deep neural networks

F Xiong, H Yong, H Chen, H Wang… - Journal of Geophysics …, 2021 - academic.oup.com
Reservoir parameter inversion from seismic data is an important issue in rock physics. The
traditional optimisation-based inversion method requires high computational expense, and …

Dynamic Processes of CO2 Storage in the Field: 1. Multiscale and Multipath Channeling of CO2 Flow in the Hierarchical Fluvial Reservoir at Cranfield, Mississippi

Q Zhou, X Yang, R Zhang, SA Hosseini… - Water Resources …, 2020 - Wiley Online Library
A consistent picture of dynamic channeling, invasion, spreading, and breakthrough (CISB) of
supercritical CO2 in the hierarchical fluvial reservoir at Cranfield, Mississippi is presented …

Fully coupled inversion on a multi-physical reservoir model–Part II: The Ketzin CO2 storage reservoir

FM Wagner, BU Wiese - International Journal of Greenhouse Gas Control, 2018 - Elsevier
Reliable monitoring of CO 2 storage reservoirs requires a combination of different
observation methods. However, history matching is typically limited to CO 2 pressure data …

Deep-learning-based surrogate model for forward and inverse problems of wave propagation in porous media saturated with two fluids

J Liu, F Xiong, Z Guo, J Liu - Acta Geophysica, 2024 - Springer
The inversion of parameters characterizing reservoir property based on rock physics model
is an important content in seismic exploration, while the strong nonlinearity between basic …

Pressure control and conformance management for safe and efficient CO2 storage–an overview of the Pre-ACT project

P Eliasson, P Cerasi, A Romdhane… - 14th Greenhouse Gas …, 2018 - papers.ssrn.com
Pre-ACT is a three-year (2017-2020) research project on CO2 storage which brings together
a partnership of 10 research institutes and industrial companies. Pre-ACT is delivering …