Powered by OpenAIRE graph
Found an issue? Give us feedback
addClaim

Integrated Simulation and Source-Sink Matching Approach for Evaluating CO2 Storage Potential in Depleted Reservoirs of the Cambay Basin

Authors: Ashutosh Rawat; Bhaskarjyoti Khanikar; Achinta Bera; Anirbid Sircar; Namrata Bist;

Integrated Simulation and Source-Sink Matching Approach for Evaluating CO2 Storage Potential in Depleted Reservoirs of the Cambay Basin

Abstract

Abstract Permanent CO2 storage is critical to global strategies to meet net-zero emission targets and decarbonise hard-to-abate sectors. The advancement of carbon sequestration programs in established basins of Cambay, India, depends on the accurate estimation of CO2 storage capacity in depleted reservoirs. This basin presents a more favourable prospect for large-scale CO2 storage projects due to its extensive history of hydrocarbon production and well-characterised reservoirs. This study presents a data-driven simulation methodology integrating historical reservoir performance with predictive modelling to evaluate CO2 storage potential. Source-sink matching (SSM) was initially employed to align major industrial CO2 emission points with storage-ready fields, thereby ensuring minimal transport requirements and improving project viability. Model development involves reconstructing production-depletion phases using available field data to create a realistic pressure and saturation environment. Various injection strategies were systematically simulated to identify optimal trapping mechanisms, including continuous CO2 injection, water-alternating-gas (WAG) injection, and huff-and-puff cycles. Advanced modelling incorporated capillary pressure effects, residual gas trapping, and CO2 solubility in formation brine, enhancing the accuracy of long-term storage estimation. Injection parameters were optimised under geomechanical constraints to ensure caprock integrity and operational feasibility. Plume migration patterns and pressure build-up profiles were also simulated to aid future monitoring and verification planning. Sensitivity analyses highlighted the influence of initial water saturation, permeability heterogeneity, and injection rates on overall storage security. Optimised SSM demonstrated that industrial clusters near the Cambay Basin could supply sufficient CO2 volumes for full-scale storage operations. Over a 50-year forecast period, the results showed that WAG had the highest storage efficiency with 45-55% of injected CO2 trapped residually and through solubility processes. Continuous CO2 injection scenarios showed greater plume migration risks, emphasising the importance of mobility control. These integrated approaches ensure effective evaluation of CO2 sequestration capacity and minimise operational risks in geologically complex reservoirs of the Cambay Basin.

  • BIP!
    Impact byBIP!
    citations
    The total number of citations received by all articles of the researcher of interest.
    0
    popularity
    This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network.
    Average
    influence
    This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
    Average
    impulse
    This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.
    Average
Powered by OpenAIRE graph
Found an issue? Give us feedback
citations
The total number of citations received by all articles of the researcher of interest.
BIP!Citations provided by BIP!
popularity
This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network.
BIP!Popularity provided by BIP!
influence
This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Influence provided by BIP!
impulse
This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.
BIP!Impulse provided by BIP!
0
Average
Average
Average
Upload OA version
Are you the author of this publication? Upload your Open Access version to Zenodo!
It’s fast and easy, just two clicks!