banner

Dr. Bappa Mukherjee

People

Dr. Bappa Mukherjee

Dr. Bappa Mukherjee

Designation : Scientist ‘B’

Phone : 9798168289

E-mail : bappamukherjee[at]wihg[dot]res[dot]in

  • Google Scholar Page

  • Research Group

    Activity-2A

  • Research Interest & Specialization

    • AI/ ML, Fractals, Geophysical Signal Processing, Well Logging, Exploration Seismic

  • Academic Qualification

    Ph.D.

  • Professional Experience

    8 Years

  • Achievements/ Awards/ Fellowships

    Year  
    2018 SPGNA travel grant, funded by Society of Petroleum Geophysicists North America (SPGNA) to attend 88th Annual Meeting and International Exposition of SEG
    2018 International travel support (ITS), funded by science and engineering research board (SERB) to attend 88th Annual Meeting and International Exposition of SEG
    2017 Selected in national postdoctoral fellowship scheme of science and engineering research board (SERB-nPDF)

  • Visiting Position

    None

  • Country Visited

    None

  • Services

    • 2017-19, Postdoctoral Fellow @ CSIR-National Geophysical Research Institute, Hyderabad (SERB-nPDF, GoI)

    • 2019-21, Postdoctoral Fellow @ Indian Institute of Technology Kharagpur, Kharagpur (Project-based)

    • 2021-22, Postdoctoral Research Associate @ Wadia Institute of Himalayan Geology, Dehradun (Institute RA)

    • 2022-Onwards, Scientist-B @ Wadia Institute of Himalayan Geology, Dehradun

  • National/International (outside WIHG) Collaboration

    National :

    • Prof. Paresh Nath Singh Roy, Dept. of Geology & Geophysics, IIT Kharagpur

    • Prof. Mukat Lal Sharma, Dept. of Earthquake Engineering, IIT Roorkee

    • Prof. Sanjit K. Pal, Dept. of Applied Geophysics, IIT(ISM) Dhanbad

    International:

    • Prof. Xinming Wu, Computational Interpretation Group, School of Earth and Space Sciences, University of Science and Technology of China, Hefei-230026, Anhui, China

    • Prof. Hao Liu, School of Resource and Environmental Engineering, Guizhou University, Guiyang, Guizhou 550025, China

    • Dr. Mohamed Abioui, Assistant Professor of Sedimentology and Stratigraphy from Ibn Zohr University, Agadir, Morocco

  • List of Publications

    Peer-Reviewed International Publications
    • Mukherjee, B., Kar, S., Sain, K., (2024). Machine learning assisted state-of-the-art-of petrographic classification from geophysical logs. Pure and Applied Geophysics. 181, 2839-2871.

    • Narayan, S., Kumar, V., Mukherjee, B*., Shaoo, S. D., Pal, S. K., (2024). Machine learning assisted appraisal of CO2 sequestration in clastic reservoirs: A case study from Penobscot field, Canada Offshore. Marine and Petroleum Geology. 169, 107054.

    • Banerjee, A., Mukherjee, B*., Sain, K., (2024). Machine learning assisted model based petrographic classification: A case study from Bokaro coal field. Acta Geodaetica et Geophysica. 59, 463-490.

    • Srivardhan, V., Mukherjee, B., (2024). Estimating Reservoir Properties of 2D CT Scan Core Images using Machine Learning. Journal of Asian Earth Sciences. 133 (200).

    • Mukherjee, B., Sain, K., Kar, S. Srivardhan, V., (2024). Deep learning-aided simultaneous missing well log prediction in multiple stratigraphic units: a case study from the Bhogpara oil field, Upper Assam, Northeast India. Earth Science Informatics. 17, 4901-4929.

    • Mukherjee, B., Srivardhan, V., Sain, K., Gupta, A., (2024). Chaotic behavior of geophysical logs for stratigraphic hiatuses: A case study from Upper Assam Shelf, India. Journal of Asian Earth Sciences. 271, 106233.

    • Mukherjee, B., Konar, S. Sain, K., (2024). Characterisation of gas hydrate-hosted media using fractal analysis of geophysical logs: a case study from Krishna-Godavari basin. Carbonates Evaporites. 39, 73.

    • Mukherjee, B., Sain, K., Ghosh, R., Konar, S., (2024). Translation of machine learning approaches into gas hydrate saturation proxy: a case study from Krishna-Godavari (KG) offshore basin. Marine Geophysical Research. 45, 12.

    • Prajapati, R., Mukherjee, B*., Singh, U.K., Sain, K., (2024). Machine learning assisted lithology prediction using geophysical logs: A case study from Cambay basin. Journal of Earth System Science. 133, 108.

    • Mukherjee, B., Sain, K., Wu, X., (2024). Missing log prediction using machine learning perspectives: A case study from upper Assam basin. Earth Science Informatics.17, 3071-3093.

    • Kumar, J., Mukherjee, B., Sain, K., (2024). Porosity prediction using ensemble machine learning approaches: A case study from Upper Assam basin. Journal of Earth System Science. 133, 99.

    • Mukherjee, B., Gautam, P., Sain, K., (2024). Machine learning assisted crustal velocity proxy: A case study over the Tibetan Plateau and its surroundings. Journal of Asian Earth Sciences. 263, 106004.

    • Konar, S., Mukherjee, B., Sain, K., (2024). Machine learning assisted gas hydrate saturation proxy: A case study from KG basin, India. Himalayan Geology. 45 (1), 89-107
    • Perumalsamy, C., Anand, S. V., Nagarajan, R., Mukherjee, B., (2024). Petrogenesis of S-type Ladakh granite and mafic microgranular enclaves in the southern margin of Ladakh batholith: An evidence of crust–mantle interaction during the collision between Indian and Eurasian plates. Island Arc. 33(1), e12520.

    • Mukherjee, B., Sain, K., (2023). Semi-automated Rock Layer Recognition from Borehole Log Data Using Combined Wavelet and Fourier Transform: A Case Study in the KG basin, India. Journal of Geological Society of India. 99, 1659–1670.

    • Liu, H., Mukherjee, B*., Zuo, Y., Roy, P., Wu, Z., Sun, W., Zheng, L., Pan, C., & Lin, J. (2023). Fractal dimension used as a proxy to understand the spatial distribution for carlin-type gold deposits. Ore Geology Reviews. 158, 105534.

    • Mukherjee, B., Sain, K., Kalyani, K., (2023). A Comparative Study on Appraisal of Lithological Boundaries and Litho-Models Using Well Log Data at Bhogpara Oil Field in Assam of NE India. Petroleum & Petrochemical Engineering Journal. 7 (1), 000335. DOI: 10.23880/ppej-16000335
    • Karmanov, P., Roy, P.N.S., Rangarajan, S., Kumar, S., Mainak, C., Mukherjee, B., (2021). Automated seismic horizon recognition from seismic data using correlation exponent and its double derivative: A case study of Parihaka field, Offshore Taranaki basin, New Zealand. Marine Geophysical Research. 42, 37.

    • Mukherjee, B., Sain, K., (2021). Vertical lithological proxy using statistical and artificial intelligence approach: A case study from Krishna-Godavari Basin, offshore India. Marine Geophysical Research. 42, 3.

    • Mukherjee, B., Roy P.N.S., Sain, K., (2020). Delineation of hydrocarbon and non-hydrocarbon zones using fractal analysis of well log data from Bhogpara oil field, NE India. Carbonates and Evaporites. 35, 22.

    • Mukherjee, B., Sain, K., (2019). Bed boundary identification from well log data using Walsh transform technique: A case study from NGHP Expedition-02 in Krishna-Godavari Basin, India. Journal of Earth System Science. 128, 214.

    • Mukherjee, B., Sain, K., (2019). Prediction of reservoir parameters in gas hydrate sediments using artificial intelligence (AI): A case study in Krishna-Godavari basin (NGHP Exp-02). Journal of Earth System Science. 128, 199.

    • Swain, S. K., Roy P.N.S., Mukherjee, B., Sawkar, R.H., (2019). Fractal dimension and its translation into a model of gold spatial proxy. Ore Geology Reviews. 110, 102935.

    • Mukherjee, B., Roy, P.N.S., (2018). Characterization of the hydrocarbon potential and non-potential zones using wavelet based fractal analysis. FRACTALS. 26 (1), 1850001.

    • Mukherjee, B., Roy, P.N.S., (2017). Fractal analysis of logs to characterize the hydrocarbon and non-hydrocarbon zones of Bhogpara oil field, Northeast India. Arabian Journal of Geosciences, 10 (22), 497.

    • Mukherjee, B., Srivardhan, V., Roy, P.N.S., (2016). Identification of formation interfaces by using wavelet and Fourier transform. Journal of Applied Geophysics. 128, 140-149.

    Publications In National & International Conferences
    • Mukherjee, B., Sain, K., (2018). Bed boundary identification from wire-line log data using Walsh transforms technique: A case study of KG basin, India. SEG International Exposition and 88th Annual Meeting. 3327-3331.

    • Mukherjee, B., Roy, P.N.S., (2016). Comparative study for Unconventional tools application in reservoir characterisations for Bhogpara, N-E, India. Jour. of Geophysics. 37 (2), 65-75.
    Conference Proceedings
    • Konar, S., Mukherjee, B., Kalachand Sain, K., Appraisal of gas hydrate saturation in KG basin using synergistic implementation of geophysical log analysis and machine learning approaches. 37th International Geological Congress Secretariat, 25-31st August, 2024, Busan, Korea. (p. 2631)
    • Mukherjee, B., Sain, K., Energizing missing log imputation with deep learning: A case study from Bhogpara oil field, Assam-Arakan basin. UrjaVarta 2024, Bharat Mandapam, New Delhi, India 11-12th July, 2024.
    • Konar, S., Mukherjee, B., Kalachand Sain, K., Gaussian Process Regression aided gas hydrate saturation proxy from geophysical logs: A case study from KG Basin, India. 60th Annual Convention of Indian Geophysical Union. Kochi, 22-24th Nov, 2023.
    • Kalyani, K., Mukherjee, B., Sain, K., Assessment of stratigraphic correlation through chaotic behaviour of geophysical logs: A case study from Amguri oil field, Upper Assam basin. 60th Annual Convention of Indian Geophysical Union. Kochi, 22-24th Nov, 2023.
    • Shaw, R. L., Mukherjee, B., Sain, K., Sharma, M. L., Jain, S., Enhancing Reservoir Characterization through Missing Log Imputation with Machine Learning: A Case Study from Bhogpara Oil Field, Assam-Arakan Basin. Indian Energy Week, Goa, India. 6-9th February, 2024. (p.1319)
    • Mukherjee, B., Sain, K., An automated approach of fault prediction from seismic data assisted by deep convolutional neural network. 42nd Annual Convention AEG-2021 held at WIHG, Dehradun, India during 1-3rd December 2021.
    • Mukherjee, B., Roy P.N.S., Sain, K., Pattern recognition of hydrocarbon and non-hydrocarbon zones using fractal analysis of wireline logs: A case study of Bhogpara oil field, NE India. 36th International Geological Congress (IGC), Delhi India during 16-21st August 2021.
    • Mukherjee, B., Sain, K., Hierarchical cluster analysis and its translation towards spatial lithological proxy. 3rd National Geo-Research Scholars Meet, Wadia Institute of Himalayan Geology, Dehradun, 6-8th June 2019.
    • Mukherjee, B., Sain, K., Lithology prediction for the gas hydrate sediments using artificial intelligence: A case study from Krishna-Godavari Basin, Offshore India (NGHP Expedition-02). 55th IGU held at RNTU, Bhopal, India during 5-7th December 2018.
    • Mukherjee, B., Sain, K., Selection of proper mother wavelet and optimum level of decomposition: Examples from wire-line log data in the KG basin. 55th IGU held at RNTU, Bhopal, India during 5-7th December 2018.
    • Mukherjee, B., Roy P.N.S., Unconventional approach to segregate the potential zones from dry zones. 38th Annual Convention AEG-2015 held at GSITI, Hyderabad, India during 20-22 October 2016.
    • Mukherjee, B., Roy P.N.S., Bed boundary identification using wavelet and Fourier transforms for upper Assam shelf basin, N-E, India. 52nd IGU held at NCAOR, Goa, India during 3-5th November 2015.

  • Photograph

  • Additional Information

    Patent details :

    • Mukherjee, B., Sain, K., 2023. Borehole Acoustic Televiewer Probe (U. K. Design number 6318405). Intellectual Property Office, UK.

    • Mukherjee, B., Sain, K., 2023. Borehole AI-Televiewer Probe (U. K. Design number 6323496). Intellectual Property Office, UK.

    Copyrights :

    • Bappa Mukherjee, Kalachand Sain. Borehole Acoustic-Televiewer Probe. Registration No.: L-146503/2024, Diary Number: 6628/2024-CO/L, INDIA

    • Bappa Mukherjee, Kalachand Sain. AI-based lensless camera borehole telemetry probe. Registration No.: L-147184/2024, Diary No.: 6663/2024-CO/L, INDIA

People