Category Archives: News and Events

Latest CRGC-related News and Events.

Visiting Researcher Mr. Yubing Liu arrives at Curtin Geophsyics

Visitor Arrival: Visiting Researcher Mr. Yubing Liu.

Yubing is currently undertaking his Doctor of Philosophy in Mining Engineering at the University of Chongqing, China and will be carrying out research at Curtin under the Supervision of Prof. Maxim Lebedev.

Yubing’ s research interests include Rock mechanics and rock engineering; Rock-fluid interaction and unconventional natural gas exploitation.

Welcome to new PhD student Mr. Jiabin Liang

New PhD student Arrival: Mr. Jiabin Liang.

Jiabin received his Bachelors degree from the China University of Geosciences (Beijing) in 2010. After graduating, he joined the China National Petroleum Corporation to work as a seismic acquisition geophysicist in a seismic crew in Saudi Arabia for 5 years. In 2015, Jiabin then undertook a Master’s at the China University of Petroleum, Beijing.

Jiabin’s Supervisor will be Prof. Boris Gurevich and his research topic will be on “Elastic properties modelling and digital rock physics”.

Seminar: Data-Driven Modeling to assess hazard due to CO2 leakage

Dr. Jina Jeong, Assistant Professor, Kyungpook National Univerisity

Title: Data-Driven Modeling to assess hazard due to CO2 leakage

Held: Thursday 12 July 2018, 3PM–4PM

ABSTRACT:

One of the important tasks of CCS is ensuring the stability of CO2 storage through all periods. In this presentation, a few data-driven modelling techniques that can be applied to ensure safety of CO2 storage site will be introduced.

The following methods are proposed as potential tools for effective assessment of risk of CO2 leakage:

  1. A method to predict lithofacies from multiple well-logging data based on sequence labelling algorithm: To interpret lithofacies sequence of borehole from well-logging data, we modified the conventional sequence labelling algorithm to incorporate a bi-directional characteristic of geological stratum. Applying the proposed method, non-cored or partially cored boreholes can be characterised based on well-logging data and, therefore the prediction accuracy of the subsurface heterogeneity can be improved, which is important to understand the leakage pathway of CO2.
  2. An ensemble regression method to analyse the CO2 monitoring data: Based on the actual CO2 leakage monitoring data acquired from the artificial CO2 release test facility in South Korea (EIT site), it is confirmed that the method can predict a possibility and amount of CO2 leakage before critical leakage is observed. We believe that the proposed method is not confined to estimations of CO2 concentration and may be applied to various real-time monitoring data from subsurface sites to develop automated control and management or decision-making system.

Visiting Researcher Dr. Jina Jeong arrives at Curtin

Visitor Arrival: Visiting Researcher Dr. Jina Jeong.

Jina is a Senior Researcher from the Korea Institute of Geoscience and Mineral Resources, South Korea, and holds a PhD in Hydrogeology/Geostatistics/Geoinformatics.

Her recent research interests include Surface and Subsurface Characterisations, Geological informatics, Groundwater flow and contaminant transport in subsurface and Geo-ICT convergence technologies.

She will be with us for 2 months, working alongside Prof. Maxim Lebedev on a project titled: “Identification of electro-facies from well logs in presence of compaction using a data assimilation method”.

Seminar: Modelling Stoneley wave propagation in boreholes with poroelastic media by using Stochastic dynamic permeability model  

Dr. Xiumei Zhang, Associate Professor, Institute of Acoustics, Chinese Academy of Sciences, Beijing

 Title: Modelling Stoneley wave propagation in boreholes with poroelastic media by using Stochastic dynamic permeability model

Held: Tuesday 22nd May, 11AM–12PM

ABSTRACT: To date, the borehole Stoneley wave from monopole acoustic logging is the only direct technique that can give a continuous permeability profile along the borehole. The characteristics of the Stoneley wave is influenced by the frequency-dependent slow wave, which can be captured by using the concept of dynamic permeability. The general dynamic model is the one presented by Johnson (JKD model). The accuracy of the relaxation length in this model dominate the correctness of the theoretical predictions of the Stoneley wave, and if it not adequately determined, the reliability of the Stonely wave derived formation permeability is doubtful.

For an alternative, a Stochastic dynamic model (SDP model) together with the simplified Biot-Rosenbaum model is used in the modeling of Stoneley wave propagation. In particular, the SDP model does not rest on the empirical relaxation length in the JKD model, and all the physical properties can be derived from microstructure measurements. The results indicate the potentials of the new hybrid method in inversing formation permeability upon Stoneley wave.