Dr. Subhashis Mallick

 

Research Projects:

• Geoscience and Climate Change
• Monitoring of the carbon sequestered reservoirs
• Earthquake related geohazards

Research statement:

My primary research interest is in the field of development and applications of various aspects of computational seismology including seismic modeling, inversion, and the use of artificial intelligence to solve practical geophysical inverse problems.

Although the use of alternate energy resources are in place, to meet the rising energy demands, it is expected that the fossil-fuels will remain to be the major energy supplier in the coming decades. Consequently, to mitigate global warming caused from fossil-fuel consumptions and attain a carbon-neutral future, carbon capture utilization and storage (CCUS) is important. One major component of CCUS is carbon sequestration, where time-lapse monitoring of the sequestered gases to ensure containment of the injected fluids is essential. Using state-of-the-art waveform-based inversion tools to monitor the carbon sequestered reservoirs has been one of my research interests over the past ten years. Besides CCUS, natural hazards caused from climate change in now a challenging issue. Recently, I have been interested in studying how geoscience can help in handling this challenge.  By accurately estimating ocean-water sound-speeds from marine seismic data and mapping them onto temperature and salinity, I have been collaborating with the atmospheric scientists in developing future climate models in which seismic data will be one major component.  Additionally, characterizing the methane hydrates, and analyzing earthquake-related geohazards are some of my other research interests.

Recent Publications

Mallick, S. and Chakraborty, D., 2021, Prediction of the ocean water sound speeds via attribute-derived seismic waveform inversion and its implications to climate prediction, Geophysics (submitted, under review).

Jia, L., Sen, S., and Mallick, S., 2021, Improvement of generalization capability of two-dimensional salt segmentation via iterative semi-supervised learning, Interpretation (submitted, under review).

Jia, L., Mallick, S., and Wang, C., 2021, Data-driven prestack-waveform inversion using genetic algorithm: Methodology and applications, Interpretation, 9, T1069-T1088, https://doi.org/10.1190/INT-2020-0201.1.

Ayani, M., MacGregor, L., and Mallick, S., 2020, Inversion of marine controlled source electromagnetic data using a parallel non-dominated sorting genetic algorithm, Geophysical Journal International, 220, 1066-1077, https://doi.org/10.1093/gji/ggz501.

Agarwal, D., Lujan, B., Verma, S., Bhattacharya, S., and Mallick, S., 2020, Seismic response to paleo sand dunes in the Nugget Sandstone formation, southwestern Wyoming, Interpretation 8, SR23-SR26, https://doi.org/10.1190/INT-2019-0231.1.

Sen, M.K., and Mallick, S., 2018, Genetic Algorithm with applications in Geophysics, In: Application of soft computing and intelligent methods in Geophysics, eds. Hajian and Styles, Springer, 487-533.

Verma, S., Bhattacharya, S., Lujan, B., Agarwal, D. and Mallick, S., 2018, Delineation of early Jurassic aged sand dunes and paleo-wind direction in southwestern Wyoming using seismic attributes, inversion, and petrophysical modeling, Journal of Natural Gas Science and Engineering, 60, 1-10, https://doi.org/10.1016/j.jngse.2018.09.022.

Sharma, H.S., Mallick, S., Verma, S. and Campbell, E., 2018, Azimuthal anisotropy analysis of multiazimuth P-wave seismic data — An example from the Rock Springs Uplift, Wyoming, USA, Interpretation, 6, T649-T666, https://doi.org/10.1190/INT-2017-0230.1.

Pafeng, J., Mallick, S., and Sharma H., 2017, Prestack waveform inversion of three-dimensional seismic data—an example from the Rock Springs Uplift, Wyoming, USA, Geophysics, 82, B1-B12, https://doi.org/10.1190/geo2016-0079.1.

Mallick, S., Mukherjee, D., Shafer, L. and Campbell-Stone, E., 2017, Azimuthal anisotropy analysis of P-wave seismic data and estimation of the orientation of the in-situ stress fields: An example from the Rock-Springs uplift, Wyoming, USA, Geophysics, 82, B63-B77, https://doi.org/10.1190/geo2015-0268.1.

Current Graduate Students:

• Dwaipayan Chakraborty - PhD Candidate
• Seeking to hire new graduate students. Please apply if interested.

Teaching Statement

I strongly believe that good teaching challenges a student’s mind, allowing it to grow and develop. I also believe in teaching that goes beyond standard classroom lectures and provides students with hands-on experience with solving practical problems. I currently teach a graduate-level course on geophysical optimization theory that combines classroom lectures with hands-on exercises to solve practical problems. In addition, I also teach an undergraduate course on Petroleum Geology where I try to share my personal experiences in the oil and gas industry with the students.