Mohit Tunwal

Mohit Tunwal

Contact Details:

Position:

PhD Student

Supervisor:

Dr. Kieran Mulchrone & Dr. Patrick Meere

BIOGRAPHY

I completed Integrated M.Tech in Geological Technology at Indian Institure of Technology Roorkee, India (2008-2013).  During this time, I developed interest in application of mathematical tools to geological problems.  For my disseration, I collaborated with the Oil and Natural Gas Corporation (ONGC) for project on application of Artificial Neural Network to Well Log data for improved permeability prediction in reservoirs.  Another project I undertook at IIT Roorkee involved comparing various Amplitude Variation with Offset (AVO) techniques for different classes of gas sands.

I was inspired to pursue a career in research due to research internships which I undertook at the Indian Institure of Tropical Meteorology, India (May-July, 2010) and University of Kiel, Germany (June-July, 2011).  I joined the School of B.E.E.S., University College Cork in February, 2014 to work on a research project funded by Petroleum Infrastructure Programme (PIP).  Initially an M.Res., the project was officially upgraded to a Ph.D. in October, 2015.

 

RESEARCH INTERESTS

My current research work involves quantitative characterisation of sedimentary grains and thermal history modelling. I have developed an image analysis application package which can be used to quantitatively measure shape and size of a grain. It was tested on simulated grains and basic geometric shapes. This methodology was applied to analyse grain morphology in loose sediment as well as thin section samples from a variety of depositional environments.  The following research questions are addressed:

  • What are the useful shape parameters for textural analysis of clastic sediments?
  • What are the limitations of currently available grain shape measurement methodologies and whether they can be improved?
  • Can multiple samples be compared and ranked on the basis of textural maturity?
  • Can sedimentary environments be discriminated on the basis of grain shape data?

Another part of the project deals in the thermal history modelling of an extensional basin.  Dan McKenzie proposed the formation model for sedimentary rift basins.  In this work, a numerical approach using finite difference method is taken to solve coupled equations involving subsidence and thermal history of the basin.  This work aims to answer the following research questions: 

  • How do the assumptions used in the McKenzie's Model affect the results of subsidence and thermal evolution of the basin?
  • How effectively can be numerical modelling applied to deduce thermal history of a basin from natural data?

  

BIBLIOGRAPHY

Theses:

Tunwal, M., 2013. Permeability Prediction from Well Log data using Non-Parametric techniques for Improved Reservoir Characterization of Onshore fields. Unpublished Integrated M.Tech. Thesis, IIT Roorkee, Roorkee, India

 

Journal Publications:

Tunwal, M., Mulchrone, K. F., and Meere, P. A., (accepted, in press). Quantitative characterization of grain shape: implications for textural maturity analysis and discrimination between depositional environments (Sedimentology).

Tunwal, M., Mulchrone, K. F., and Meere, P. A., 2017. A new approach to quantitative grain shape measurement (in prep. for Sedimentology).

Tunwal, M., Mulchrone, K. F., and Meere, P. A., 2017. Mathematica code for quantitative characterization of sedimentary grains (in prep. for Sedimentary Geology).

 

Conference Presentations:

Tunwal, M., Mulchrone, K., and Meere, P., 2017. Textural Maturity Analysis and Sedimentary Environment Discrimination Based on Grain Shape Data. Poster presented at the Atlantic Ireland conference, Dublin, 31 October 2017.

Fairey, B., Tunwal, M., Meere, P. and Mulchrone, K., 2017. Coupling colour CL of quartz with multiple geochronological proxies in an attempt to determine extent of sediment recycling in Devonian and Mesozoic basins of southern Ireland. Poster presented at the Atlantic Ireland conference, Dublin, 31 October 2017.

Tunwal, M., Mulchrone, K., and Meere, P., 2017. A numerical approach to thermal history modelling in an extensional basin. Poster presented at the European Geosciences Union General Assembly, Vienna, 23–28 April 2017.

Fairey, B., Tunwal, M., Meere, P. and Mulchrone, K., 2017. Coupling colour CL of quartz with multiple geochronological proxies in an attempt to determine extent of sediment recycling in Devonian and Mesozoic basins of southern Ireland. Poster presented at the European Geosciences Union General Assembly, Vienna, 23–28 April 2017.

Tunwal, M., Mulchrone, K., and Meere, P., 2016. Thermal history modelling in an extensional basin. Poster presented at the 55th British Sedimentological Research Group AGM, Cambridge, 18–20 December 2016.

Tunwal, M., Mulchrone, K., and Meere, P., 2016. Thermal history modelling in an extensional basin. Poster presented at the Atlantic Ireland conference, Dublin, 1–2 November 2016.

Tunwal, M., Mulchrone, K., and Meere, P., 2016. Quantitative Characterisation of Sedimentary Grains. Oral presentation at the European Geosciences Union General Assembly, Vienna, 17–22 April 2016.

Tunwal, M., Mulchrone, K., and Meere, P., 2016. Quantitative Characterization of Sedimentary Grains. Oral presentation at the 59th Irish Geological Research Meeting, Galway, 19–21 February 2016.

Tunwal, M., Mulchrone, K., and Meere, P., 2015. Quantitative analysis of populations of sedimentary grain morphologies in the basins of Southern Ireland. Poster presented at the Atlantic Ireland conference, Dublin, 27 October 2015.

Tunwal, M., 2015. How to be effective in field demonstration? Oral presentation at the Inaugural Symposium of STEM Postgraduate Students’ Experience of Teaching and Learning (InSPEcT), Cork, 11 September 2015.

Tunwal, M., Mulchrone, K., and Meere, P., 2015. Quantitative Characterization of Sedimentary Grains. Poster presented at the 58th Irish Geological Research Meeting, Belfast, 20–22 February 2015.

Tunwal, M., Mulchrone, K., and Meere, P., 2014. Mathematica code for Quantitative Characterization of Sedimentary Grains. Poster presented at the Atlantic Ireland conference, Dublin, 20 October 2014.

Mackey, J., McCarthy, D., Tunwal, M. and Unida, S., 2014. Automated Image Enhancement and Segmentation for Detecting Boundaries of palynological Material. Poster presented at the 9th European Palaeobotany-Palynology Conference, Padua, 26–31 August 2014.

Fairey, B., Kerrison, A., Tunwal, M., Meere, P., and Mulchrone, K., 2014. The Use of Thermochronology and Quantitative Sandstone Petrology in Establishing Provenance Links between the Onshore and Offshore Sedimentary Basins of southern Ireland. Poster presented at the 57th Irish Geological Research Meeting, Dublin, 28 Feb–2 March 2014.

 

Courses/Training:

Statistics and Data Analysis (ST6013), University College Cork, Ireland, 13 June–01July, 2016.

Sedimentary Provenance Analysis, University of Goettingen, Germany, 29 Sept.–02 Oct., 2015.

Eurofleets2 Training course on board R/V BIOS DVA, Croatia, 16–27 June, 2015.

Image Analysis in Geosciences, University of Basel, Switzerland, 01–05 June, 2015.

Workshop Safety & Abrasive Wheels Training, University College Cork, Ireland, 18–19 May, 2015.

‘R’ Statistical Computing, Dublin Institute of Advanced Studies, Ireland, 30 March–02 April, 2015.

Teaching and Learning, University College Cork, Ireland, Jan.-June, 2015.

Science@Sea CPD onboard Celtic Voyager, Ireland, 26 Nov., 2014.

Occupational First Aid, University College Cork, Ireland, 19 March, 2014.

 

Awards:

BEES Posgraduate Travel Fund (AGU, 2017)

AGU Student Travel Fund (AGU, 2017)

Best Poster Presentation Award (BSRG, 2016)

Masters’ Fellowship (MHRD, Government of India, 2012-2013)

School of Biological, Earth and Environmental Sciences

An Scoil Eolaíochtaí Bitheolaíocha, Domhaneolaíocha agus Comhshaoil

University College Cork, Distillery Fields, North Mall, Cork, Ireland T23 N73K

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