Search Results - "Makauskas, Pijus"

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  1. 1

    Unlocking Geothermal Energy: A Thorough Literature Review of Lithuanian Geothermal Complexes and Their Production Potential by Memon, Abdul Rashid, Makauskas, Pijus, Kaminskaite-Baranauskiene, Ieva, Pal, Mayur

    Published in Energies (Basel) (01-04-2024)
    “…Lithuania is located on the East of Baltic sedimentary basin and has a geothermal anomaly situated in the southwestern region of the country. There are two…”
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    Journal Article
  2. 2

    Silurian barrier reef in Lithuania: Reservoir properties and low enthalpy geothermal heat potential by Kaminskaite-Baranauskiene, Ieva, Cichon-Pupienis, Anna, Makauskas, Pijus

    Published in Heliyon (29-02-2024)
    “…The Silurian barrier reef zone in Lithuania extends for hundreds of kilometres in the narrow zone in Middle Lithuania continuing from the Saukenai reef in the…”
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    Journal Article
  3. 3

    Assessing Geothermal Energy Production Potential of Cambrian Geothermal Complexes in Lithuania by Makauskas, Pijus, Kaminskaite-Baranauskiene, Ieva, Rashid Abdul Nabi Memon, Abdul, Pal, Mayur

    Published in Energies (Basel) (01-03-2024)
    “…Lithuania has a geothermal anomaly situated in the southwestern region of the country. This anomaly is comprised of two primary geothermal complexes located in…”
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    Journal Article
  4. 4

    Assessing the geological storage potential of CO2 in Baltic Basin: A case study of Lithuanian hydrocarbon and deep saline reservoirs by Malik, Shruti, Makauskas, Pijus, Karaliūtė, Viltė, Pal, Mayur, Sharma, Ravi

    “…•Lithuanian deep saline aquifers and depleted oil reservoirs are characterized to assess their potential for effective carbon.•Uncertainty management workflow…”
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    Journal Article
  5. 5

    Evaluating Petrophysical Properties Using Digital Rock Physics Analysis: A CO2 Storage Feasibility Study of Lithuanian Reservoirs by Malik, Shruti, Makauskas, Pijus, Sharma, Ravi, Pal, Mayur

    Published in Applied sciences (22-11-2024)
    “…As the global concern over greenhouse gas emissions grows, CO2 storage in deep saline aquifers and depleted reservoirs has become crucial for climate change…”
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    Journal Article
  6. 6

    Comparative study of modelling flows in porous media for engineering applications using finite volume and artificial neural network methods by Makauskas, Pijus, Pal, Mayur, Kulkarni, Vismay, Kashyap, Abhishek Singh, Tyagi, Himanshu

    Published in Engineering with computers (01-12-2023)
    “…A neural solution methodology, using a feed-forward and a convolutional neural networks, is presented for general tensor elliptic pressure equation with…”
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    Journal Article