Sanjukta De

Employment

• Indian Institute of Technology Kharagpur

Education

Education history is unavailable.

Projects & Funding

Projects & funding information is unavailable.

Publications (11)

• Multiproxy geochemical characterization of Kommugudem Formation, Krishna Godavari Basin, India: Implication on hydrocarbon potential and shale brittleness
  Geological Journal 2022 DOI: 10.1002/gj.4346
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• Analysis of geomechanical properties of an Indian unconventional shale reservoir using well logs
  2022 DOI: 10.5194/egusphere-egu22-645
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• Geochemical characterization and hydrocarbon potential of Cambay Shale in the south Cambay Basin, India: implications to unconventional resource development
  Arabian Journal of Geosciences 2022 DOI: 10.1007/s12517-022-09738-4
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• Evaluating the geomechanical properties of Cambay Shale, Cambay Basin, India using advanced wireline logs for shale hydrocarbon exploration
  Petroleum Science and Technology 2021 DOI: 10.1080/10916466.2021.1919705
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• An Advanced Well Log and an Effective Methodology to Evaluate Water Saturation of the Organic-Rich Cambay Shale
  Natural Resources Research 2021 DOI: 10.1007/s11053-020-09763-8
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• Brittleness estimation and mineralogical analysis for evaluation of fracturability: Application to the Cambay Shale, Gujarat, India
  2020 DOI: 10.1002/essoar.10504940.1
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• Depositional environment and geomechanical properties of Cambay Shale: potential reservoir for shale oil and gas in India
  Arabian Journal of Geosciences 2020 DOI: 10.1007/s12517-020-05462-z
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• Application of support vector regression analysis to estimate total organic carbon content of Cambay shale in Cambay basin, India – a case study
  Petroleum Science and Technology 2019 DOI: 10.1080/10916466.2019.1578798
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• APPLICATION OF ADVANCED WIRELINE LOGS IN EVALUATING THE GEOMECHANICAL PROPERTIES OF CAMBAY SHALE, CAMBAY BASIN, INDIA FOR SHALE HYDROCARBON EXPLORATION
  [] 2019 DOI: 10.1130/abs/2019am-333462
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• Electrofacies Analysis of Well Log Data Using Data Mining Algorithm: A Case Study
  Advances in Intelligent Systems and Computing 2019 DOI: 10.1007/978-981-13-1498-8_72
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