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Systematic large-scale assessment for potential of CO2 enhanced oil and natural gas recovery in key sedimentary basins in India

Subcategory (under Clean Energy): CCS
Technology Readiness Level (TRL): TRL 3-4
Technology Outline (Process Description)

Based on a review of best practices used worldwide and previous case studies, a workflow was developed for calculating estimates of CO2 storage capacities through CO2 -EOR, CO2 ECBMR, in saline aquifers, and in basalt.

Salient Features/Advantages

  • Rock-physical, petro-physical and geo-mechanical studies to investigate hydro-dynamics of CO2 sinks in the selected a. Depleting oil reservoir Producing CBM reservoir
  • Identification of large point sources such as power plants and mapping them using GIS
  • Development of capacity-building strategies in India to support commercial projects of CCUS – with an e-portal for knowledge sharing through global experts.
  • Identification of suitable geological formations for CO2 storage in the vicinity of identified large point sources –
  • Analysis of subsurface matrix properties, using geophysical and geological techniques, to locate the most suitable
  • Geo-mechanical aspect of the CO2 sequestration for long term storage and to ascertain safety and risk of
  • Geophysical evaluation of reservoir integrity and scoping level reservoir simulation for assessment of CO2 storage site.

Key Outcomes

The CO2 resource-reserve pyramid has been developed to quantify the theoretical, effective, and viable potential for CO2-EOR associated storage in key oil-producing basins. Additionally, a novel classification of the major sedimentary basins based on their prospectivity to carbon storage is also developed.

Furthermore, three Algorithms have been developed:

  1. ML-based algorithm to predict non-available geophysical well-logs
  2. Seismic modelling algorithms to simulate wave propagation in fluid-filled media by considering attenuating properties of the fluid and rock
  3. Rock-physics modelling for the estimation of post- CO2 injection velocity.

IP Protection details

  • Patent filed (Title, national/International): Nil
  • Patents Granted: Nil
  • Copyrights obtained /progress on commercialisation /Pl. specify connect with industry: Nil

Contact details (for more information)

  • Nodal Person name: Dr. Vikram Vishal
  • Email ID: v.vishal@iitb.ac.in
  • Organisation name (Relevant link/web page): IIT TBombay
Supporting Photographs/Images

Organizations involved in the development (logo/name)

IIT Bombay

CSIR-NGRI

IIMA

IIT Roorkee

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