Jeremie Giraud

About

I have been studying towards a PhD degree between 2015 and 2018 after about 3 years in the oil and gas industry (Schlumberger). My PhD focused on the development of an inverse modelling workflow utilizing geological, petrophysical, geophysical data and uncertainty information. I have been working on this topic ever since. During my postdoc at the Centre for Exploration Targeting (the University of Western Australia, Perth), I was part of the MinEx CRC (project 6: Automated modelling) and Loop consortia, and I was leading the Geophysical Integration work package of the Loop consortium.

I am now a Marie Skłodowska-Curie Fellow at GeoRessources (Université de Lorraine), as part of the RING team, and I maintain professional ties with the University of Western Australia (Perth, Australia) as an Adjunct Research Fellow and through the supervision of PhD students.

My research interests include the integration of different geoscience disciplines through joint and/or constrained inversion using geological modeling and petrophysical information. My interests also include the utilisation of techniques from other fields in geophysical inversion such as, but not limited to, image processing techniques, statistical tools, and algorithms developed for data sciences and machine learning. Last, I am also working on the quantitative reconstruction of geological models from geophysical inversion using information from geophysical models, geological modeling and well information.

Peer-reviewed journal publications

• Giraud, J., Seillé, H., Lindsay, M. D., Visser, G., Ogarko, V., and Jessell, M. W.: Utilisation of probabilistic MT inversions to constrain magnetic data inversion: proof-of-concept and field application, Solid Earth, 14, 43-68, https://se.copernicus.org/articles/14/43/2023/, 2023.
• Lindsay, M. Piechocka, A., Jessell, M., Scalzo, R., Giraud, J., Pirot, G., Cripps, E.: Assessing the impact of conceptual mineral systems uncertainty on prospectivity predictions, Geoscience Frontiers, Volume 13, Issue 6, https://doi.org/10.1016/j.gsf.2022.101435, 2022.
• Pirot, G., Joshi, R., Giraud, J., Lindsay, M. D., and Jessell, M. W.: loopUI-0.1: indicators to support needs and practices in 3D geological modelling uncertainty quantification, Geosci. Model Dev., 15, 4689–4708, https://doi.org/10.5194/gmd-15-4689-2022, 2022.
• Jessell, M., Guo, J., Li, Y., Lindsay, M., Scalzo, R., Giraud, J., Pirot, G., Cripps, E., and Ogarko, V.: Into the Noddyverse: a massive data store of 3D geological models for machine learning and inversion applications, Earth Syst. Sci. Data, 14, 381–392, https://doi.org/10.5194/essd-14-381-2022, 2022.
• Scalzo, R., Lindsay, M., Jessell, M., Pirot, G., Giraud, J., Cripps, E., and Cripps, S.: Blockworlds 0.1.0: a demonstration of anti-aliased geophysics for probabilistic inversions of implicit and kinematic geological models, Geosci. Model Dev., 15, 3641–3662, https://doi.org/10.5194/gmd-15-3641-2022, 2022.
• Giraud, J., Ogarko, V., Martin, R., Jessell, M., and Lindsay, M.: Structural, petrophysical, and geological constraints in potential field inversion using the Tomofast-x v1.0 open-source code, Geosci. Model Dev., 14, 6681–6709, https://doi.org/10.5194/gmd-14-6681-2021, 2021.
• Giraud, J., Lindsay, M. and Jessell, M.: Generalisation of level-set inversion to an arbitrary number of geological units using a regularized least-squares approach, GEOPHYSICS 86: R623-R637, https://doi.org/10.1190/geo2020-0263.1, 2021.
• Guo, J., Li, Y., Jessell, M., Giraud, J., Li, C., Wu, L., Li, F. and Liu, S.: 3D Geological Structure Inversion from Noddy-Generated Magnetic Data Using Deep Learning Methods, Computers & Geosciences (149), https://doi.org/10.1016/j.cageo.2021.104701, 2021.
• Ogarko, V., Giraud, J., Martin, R. and Jessell., M.: Disjoint interval bound constraints using the alternating direction method of multipliers (ADMM) for geologically constrained geophysical inversion, GEOPHYSICS 86: G1-G11, https://doi.org/10.1190/geo2019-0633.1, 2021.
• Rashidifard, M., Giraud, J., Lindsay, M., Jessell, M., and Ogarko, V.: Constraining 3D geometric gravity inversion with a 2D reflection seismic profile using a generalized level set approach: application to the eastern Yilgarn Craton, Solid Earth, 12, 2387–2406, https://doi.org/10.5194/se-12-2387-2021, 2021.
• Jessell, M., Guo, J., Li, Y., Lindsay, M., Scalzo, R., Giraud, J., Pirot, G., Cripps, E., and Ogarko, V.: Into the Noddyverse: A massive data store of 3D geological models for Machine Learning & inversion applications, Earth Syst. Sci. Data Discuss. [accepted, paper in preprint], https://doi.org/10.5194/essd-2021-304, 2021.
• Martin, R., Giraud, J., Ogarko, V., Chevrot, S., Beller, S., Gégout, P. and Jessell, M.: Three-dimensional gravity anomaly inversion in the Pyrenees using compressional seismic velocity model as structural similarity constraints, Geophys. J. Int., doi:10.1093/gji/ggaa414, 2020.
• Giraud, J., Lindsay, M., Jessell, M. and Ogarko, V.: Towards plausible lithological classification from geophysical inversion: honouring geological principles in subsurface imaging, Solid Earth, 11(2), 419–436, doi:10.5194/se-11-419-2020, 2020.
• Giraud, J., Ogarko, V., Lindsay, M., Pakyuz-Charrier, E., Jessell, M. and Martin, R.: Sensitivity of constrained joint inversions to geological and petrophysical input data uncertainties with posterior geological analysis, Geophys. J. Int., 218(1), 666–688, doi:10.1093/gji/ggz152, 2019.
• Giraud, J., Lindsay, M., Ogarko, V., Jessell, M., Martin, R. and Pakyuz-Charrier, E.: Integration of geoscientific uncertainty into geophysical inversion by means of local gradient regularization, Solid Earth, 10(1), 193–210, doi:10.5194/se-10-193-2019, 2019.
• Pakyuz-Charrier, E., Jessell, M., Giraud, J., Lindsay, M. and Ogarko, V.: Topological analysis in Monte Carlo simulation for uncertainty propagation, Solid Earth, 10(5), 1663–1684, doi:10.5194/se-10-1663-2019, 2019.
• Shragge, J., Bourget, J., Lumley, D., Giraud, J., Wilson, T., Iqbal, A., Emami Niri, M., Whitney, B., Potter, T., Miyoshi, T. and Witten, B.: The Western Australia Modeling project — Part 1: Geomodel building, Interpretation, 7(4), T773–T791, doi:10.1190/INT-2018-0217.1, 2019.
• Shragge, J., Lumley, D., Bourget, J., Potter, T., Miyoshi, T., Witten, B., Giraud, J., Wilson, T., Iqbal, A., Emami Niri, M. and Whitney, B.: The Western Australia Modeling project — Part 2: Seismic validation, Interpretation, 7(4), T793–T807, doi:10.1190/INT-2018-0218.1, 2019.
• Jessell, M., Pakyuz-Charrier, E., Lindsay, M., Giraud, J. and de Kemp, E.: Assessing and Mitigating Uncertainty in Three-Dimensional Geologic Models in Contrasting Geologic Scenarios, in Metals, Minerals, and Society, pp. 63–74, Society of Economic Geologists (SEG)., 2018.
• Pakyuz-Charrier, E., Giraud, J., Ogarko, V., Lindsay, M. and Jessell, M.: Drillhole uncertainty propagation for three-dimensional geological modeling using Monte Carlo, Tectonophysics, 747–748, 16–39, doi:10.1016/j.tecto.2018.09.005, 2018.
• Pakyuz-Charrier, E., Lindsay, M., Ogarko, V., Giraud, J. and Jessell, M.: Monte Carlo simulation for uncertainty estimation on structural data in implicit 3-D geological modeling, a guide for disturbance distribution selection and parameterization, Solid Earth, 9(2), 385–402, doi:10.5194/se-9-385-2018, 2018.
• Giraud, J., Pakyuz-Charrier, E., Jessell, M., Lindsay, M., Martin, R. and Ogarko, V.: Uncertainty reduction through geologically conditioned petrophysical constraints in joint inversion, GEOPHYSICS, 82(6), ID19–ID34, doi:10.1190/geo2016-0615.1, 2017.
   

Selected 1^st authored conference presentations 

• Giraud, J., Caumon, G., Grose, L., and Cupillard, P., Geometrical Inversion Coupled with Automated Geological Modelling, Source: Conference Proceedings, 83rd EAGE Annual Conference & Exhibition, Jun 2022, Volume 2022, p.1 – 5, https://doi.org/10.3997/2214-4609.202210522, 2022.
• Giraud, H. Seillé, V. Ogarko, G. Visser, M. Lindsay, M. Jessell, Magnetic inversion constrained by probabilistic magnetotellurics models: methodology and application, , Presented at AEGC 2021 - Australasian Exploration Geoscience Conference, 13-17 Sept. 2021, https://www.tandfonline.com/doi/full/10.1080/14432471.2021.1957452
• Giraud, J., H. Seillé, G. Visser, V. Ogarko, M. Lindsay and M. Jessell, Utilisapreprtion of stochastic MT inversion results to constrain gravity inversion, Conference Proceedings, 82nd EAGE Annual Conference & Exhibition, Oct 2021, Volume 2021, p.1 – 5, European Association of Geoscientists & Engineers, https://doi.org/10.3997/2214-4609.202113105, 2021.
• Giraud, J., V. Ogarko, M. Jessell, M. Lindsay, R. Martin, Geophysical Inversions in Loop: continuous and discrete approaches (constrained by geology), Workshop Presentation at, IMAGE'21 The International Meeting for Applied Geoscience & Energy, 2021.
• Giraud, J. Pirot, G., Lindsay, M., and Jessell, M., Recovering lithology geometries via geophysical data inversion based on a generalized level set approach, AGU Annual Meeting 2020, abstract IN048-09, 2020.
• Giraud, J., Seillé, H., Visser, G., Lindsay, M. and Jessell, M.: Utilisation of stochastic MT inversion results to constrain potential field inversion, in EGU General Assembly 2020, European Geophysical Union, Vienna., 2020.
• Giraud, J., Lindsay, M., Ogarko, V. and Jessell, M.: Geology and geophysics-based lithological classification for structural interpretation in the Yerrida basin (Western Australia), in SGTSG and SGSEG 2019 abstracts, p. 32, Port Lincoln (South Australia), 2019.
• Giraud, J., Ogarko, V., Jessell, M. and Lindsay, M.: Investigating the confidence in lithologies recovered from geophysical inversion results, in International Workshop on Gravity, Electrical & Magnetic Methods and Their Applications, Xi’an, China, May 19–22, 2019, pp. 296–300, Society of Exploration Geophysicists and Chinese Geophysical Society, 2019.
• Giraud, J., Pakyuz-Charrier, E., Ogarko, V., Jessell, M., Lindsay, M. and Martin, R.: Impact of uncertain geology in constrained geophysical inversion, ASEG Ext. Abstr., 2018(1), 1, doi:10.1071/ASEG2018abM1_2F, 2018.
• Giraud, J., Lindsay, M., Pakyuz-Charrier, E., Martin, R., Ogarko, V. and Jessell, M.: Impact of uncertain geology in constrained geophysical inversion, ASEG Ext. Abstr., 2018(1), 1–6, doi:10.1071/ASEG2018abM1_2F, 2018.
• Giraud, J., Jessell, M., Lindsay, M., Martin, R., Pakyuz-Charrier, E. and Ogarko, V.: Geophysical joint inversion using statistical petrophysical constraints and prior information, ASEG Ext. Abstr., 2016(1), 1–6, doi:10.1071/ASEG2016ab294, 2016.
• Giraud, J., Jessell, M., Lindsay, M., Parkyuz-Charrier, E. and Martin, R.: Integrated geophysical joint inversion using petrophysical constraints and geological modelling, in SEG Technical Program Expanded Abstracts 2016, pp. 1597–1601, Society of Exploration Geophysicists., 2016.
• Giraud, J., Jessell, M., Lindsay, M., Martin, R., Pakyuz-charrier, E. and Ogarko, V.: Uncertainty reduction of gravity and magnetic inversion through the integration of petrophysical constraints and geological data, in EGU General Assembly 2016, vol. 18, p. 3870., 2016.
• Giraud, J., Chouteau, M. and Bouchedda, A.: Time Domain EM Soundings for the Delineation of the Fresh Water - Salt Water Interface in Eastern Canada Islands, in EAGE Annual Meeting 2014, 2014.
• Giraud, J., De Stefano, M. and Miotti, F.: Simultaneous Joint Inversion of Electromagnetic and Seismic Full-waveform Data - A Sensitivity Analysis to Biot Parameter, in EAGE Annual Meeting 2013, 2013.

Publicly available preprints undergoing review

• Giraud, J., Caumon, G., Grose, L., Ogarko, V., and Cupillard, P.: Integration of automatic implicit geological modelling in deterministic geophysical inversion, EGUsphere [preprint], https://doi.org/10.5194/egusphere-2023-129, 2023.

Invitations at conferences

• Invited presenter at APPG/SEG IMAGE’21 conference workshop “W-09 3D Computer Geologic Modeling for Geophysicists and How to Integrate Geologic and Geophysical Computer Earth Modeling”.
• Invited presenter at SEG Annual Meeting 2020, session "Machine learning/artificial intelligence in mineral
  exploration".
• Invited speaker at symposium "Recent Advances in Undercover Imaging" (2020).
• Invited speaker at AGU Fall Meeting 2020, session "building interoperable multidimensional geological
  frameworks".
• Invited panel member on gender inequalities in science at SEG GEM'19 Xi’an (China).
• Invited speaker at the Association of Mining and Exploration Companies Annual Convention 2015.

Sessions chairing and co-chairing

• IAMG 2023 [expected]co-chair of session on geophysical inversion. 
• AGU 2021 co-chair of session on geoscientific integration and uncertainty (session IN048-01).
• AOGS 2021 co-chair of session on geoscientific integration and uncertainty (session IG17).

Scholarships and Awards

• Robert and Maude Gledden Visiting Fellowship (2023).
• MinEx CRC publication award (2019-2020).
• SEG/Landmark Scholarship (2018).
• Best session talk at the GESSSWA Conference (2018). 
• Nick Rock Memorial award (2017) for 'outstanding PhD project completion in numerical geology or geophysics or computer modelling'. 
• SEG/WesternGeco/Carl Savit Memorial Scholarship (2017).
• SEG/Chevron Scholarship (2016). 
• International Postgraduate Research Scholarship (2015-2018) awarded by the Australian Federal Government.
• UWA Top-up scholarship (2015-2018) awarded by the University of Western Australia. 
• Scholarship of the Region Alsace for work done during the gap year internships (2010-2011).
• 'Scholarship of Merit’ based on academic merit, awarded for the duration of the Master’s degree (2009-2012 school years).

Grants and Research Funding

• Gledden fellowship to support international mobility to Australia (2022).
• Co-chief Investigator of MinEx CRC Program 2, Project 6 (2019-2021).
• ASEG Research Foundation Grant (2017-2018).
• SEG/Chevron Student Leadership Symposium (2016).
• SEG/Chevron SEG Annual Meeting Conference Travel Grant (2016).
• SEG/ExxonMobil Student Education Program Travel Grant (2012).
  
  

Websites

The abstract of my current project can be found here:
https://cordis.europa.eu/project/id/101032994 

Researchgate: https://www.researchgate.net/profile/Jeremie_Giraud

LinkedIn: https://au.linkedin.com/in/jeremie-giraud-3052432a
Consortia:
https://loop3d.org/;
https://minexcrc.com.au/program-two-data-from-drilling/project-6-automated-3d-modelling/

Patent application(s)

Miotti, F. and Giraud, J., 2015: Joint inversion of attributes, Available from: https://patents.justia.com/patent/20150362623