Dr Domenico Bau

Department of Civil and Structural Engineering

Senior Lecturer

CIV Domenico Bau
d.bau@sheffield.ac.uk
+44 114 222 0253

Full contact details

Dr Domenico Bau
Department of Civil and Structural Engineering
Room F115
Sir Frederick Mappin Building (Broad Lane Building)
Mappin Street
Sheffield
S1 3JD
Profile

My research helps to prevent water pollution and protect us from contaminants

Dr Domenico Bau


Domenico’s research explores computational methods of modelling the movement of fluids in the subsurface, such as groundwater, oil and gas, contaminant transport (including chemicals within fluids), and the mechanics of soil and fluid formations.

By understanding the characterisation of the area below the surface of the earth, its structure and how it behaves, his work can help prevent water pollution, protect us from contaminants, and reduce uncertainty and risk in the subsurface management.

Domenico has an undergraduate degree in Structural Engineering from the University of Padua, Italy, and a PhD in Environmental Engineering from Michigan Technological University, USA. For his undergraduate and graduate studies, he developed numerical models to assess the environmental impact associated with the development of gas reservoirs and aquifers, and he designed remediation systems for the cleanup of contaminated groundwater plumes.

In his academic career, he has led research projects focusing on the design of systems for carbon geological storage, management of water supply from integrated aquifer-catchment systems, and characterisation of geomechanical parameters of gas reservoirs using land-surface deformation data.

Domenico joined the Department in 2014. His current research concentrates on subsurface hydrology, with a particular focus on: the development and use of computer models to simulate groundwater flow and reactive contaminant transport, as well as deformation in geologic formations due to fluid extraction.

He also focuses on the development of computational methods for characterising hydrogeological properties using field observations.


Publications

Books

  • Bahrawi J, Fontane DG & Bau D (2010) Stochastic Analysis of the Impacts of Rainfall on Groundwater Recharge. VDM Verlag. RIS download Bibtex download

Journal articles

Chapters

Conference proceedings papers

  • Zoccarato C, Ferronato M, Gambolati G, Teatini P & Baù D (2016) Ensemble smoothing of land displacements and deep compaction for the geomechanical characterization of hydrocarbon reservoirs. ISRM International Symposium - EUROCK 2016 (pp 1171-1176) RIS download Bibtex download
  • Zoccarato C, Ferronato M, Gambolati G, Teatini P & Baù D (2016) Ensemble smoothing of land displacements and deep compaction for the geomechanical characterization of hydrocarbon reservoirs. Rock Mechanics and Rock Engineering: From the Past to the Future RIS download Bibtex download
  • Zoccarato C, Ferronato M, Gambolati G, Janna C, Teatini P, Alzraiee A & Baù D (2014) Data assimilation of SAR-based measurements for geomechanical characterization (pp 1229-1234) RIS download Bibtex download
  • Zoccarato C, Alzraiee A, Baù D, Ferronato M, Gambolati G, Janna C & Teatini P (2014) Geomechanical Characterization of Storage Reservoirs by Assimilation of Surface Displacements. Fourth EAGE CO2 Geological Storage Workshop, 22 April 2014 - 24 April 2014. RIS download Bibtex download
  • Bailey RT & Bau DA (2010) INVERSE MODELLING OF HYDRAULIC CONDUCTIVITY DISTRIBUTION BY ASSIMILATION OF RETURN FLOW DATA. PROCEEDINGS OF THE XVIII INTERNATIONAL CONFERENCE ON COMPUTATIONAL METHODS IN WATER RESOURCES (CMWR 2010) (pp 879-886) RIS download Bibtex download
  • Teatini P, Ferronato M, Gambolati G, Bau D & Putti M (2010) STOCHASTIC ANALYSIS OF THE VENICE UPLIFT DUE TO SEAWATER INJECTION INTO DEEP AQUIFERS. PROCEEDINGS OF THE XVIII INTERNATIONAL CONFERENCE ON COMPUTATIONAL METHODS IN WATER RESOURCES (CMWR 2010) (pp 534-541) RIS download Bibtex download
  • Bau D, Gambolati G & Teatini P (2000) Under-relaxed iterations for coupled finite element solution to gas and water dynamics in depleted reservoirs. Computational methods in water resources - Volume 1 - Computational methods for subsurface flow and transport (pp 195-200) RIS download Bibtex download
Research group

Geotechnical Engineering

Groundwater Protection and Restoration

    Grants

    Efficient Surrogate Modelling for Sustainable Management of Complex Seawater Intrusion-Impacted Aquifers

    This project is a collaboration between the Universities of Sheffield (UK), Texas at El Paso (USA), and South Florida (USA), and addresses the sustainable management of water resources in coastal regions with diverse geological, hydro-technical and governance settings under treats of climate change, sea level rise (SLR) and seawater intrusion (SWI).

    Potential PhD offerings

    Developing Efficient Model Surrogates For Water Resources And Subsurface Contaminant Management

    The goal of this project is to investigate the use of model emulators (surrogates), that is, reduced versions of the full numerical model that require a fraction of its computational cost. Once developed, surrogates can be used to narrow down uncertainties affecting the full model response and derive better calibrated models in relation to the limited knowledge available.


    Geomechanical Inverse Modelling And Uncertainty Quantification

    The aim of this project is is to develop novel model surrogate techniques within data assimilation frameworks for estimation of the parameters of geomechanical simulators. The focus will be on data-driven surrogates, such as Gaussian process estimators, where the dimension of the parameter space is reduced by projecting it into a smaller subspace using principal component methods, such as the Karhunen-Loeve expansion.


    Understanding And Quantifying The Risk Associated With Subsurface Fluid Injection

    In this project, the students will learn to use either analytical or semi-analytical flow models, developed to simulate the spatio-temporal distribution of fluid ovepressure induced by CGS and the fluid leakage.