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Citation:
 Vikram Vishal,Somali Roy,Yashvardhan Verma,et al.Assessing the Viability of Gandhar Field in India’s Cambay Basin for CO2 Storage[J].Journal of Marine Science and Application,2024,(3):529-543.[doi:10.1007/s11804-024-00490-7]
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Assessing the Viability of Gandhar Field in India’s Cambay Basin for CO2 Storage

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Title:
Assessing the Viability of Gandhar Field in India’s Cambay Basin for CO2 Storage
Author(s):
Vikram Vishal12 Somali Roy2 Yashvardhan Verma12 Bharath Shekar1
Affilations:
Author(s):
Vikram Vishal12 Somali Roy2 Yashvardhan Verma12 Bharath Shekar1
1. Department of Earth Sciences, Indian Institute of Technology Bombay, Mumbai, 400076, India;
2. National Centre of Excellence in Carbon Capture and Utilization, Indian Institute of Technology Bombay, Mumbai, 400076, India
Keywords:
Carbon capture and storage|Reservoir characterization|Seismic inversion|Geomechanics|CO2 storage|CO2 enhancing oil recovery
分类号:
-
DOI:
10.1007/s11804-024-00490-7
Abstract:
Our research is centered on the Gandhar oil field, which was discovered in 1983, where daily oil production has declined significantly over the years. The primary objective was to evaluate the feasibility of carbon dioxide (CO2) storage through its injection into the siliciclastic reservoirs of Ankleshwar Formation. We aimed to obtain high-resolution acoustic impedance data to estimate porosity employing model-based poststack seismic inversion. We conducted an analysis of the density and effective porosity in the target zone through geostatistical techniques and probabilistic neural networks. Simultaneously, the work also involved geomechanical analysis through the computation of pore pressure and fracture gradient using well-log data, geological information, and drilling events in the Gandhar field. Our investigation unveiled spatial variations in effective porosity within the Hazad Member of the Ankleshwar Formation, with an effective porosity exceeding 25% observed in several areas, which indicates the presence of well-connected pore spaces conducive to efficient CO2 migration. Geomechanical analysis showed that the vertical stress (Sv) ranged from 55 MPa to 57 MPa in Telwa and from 63.7 MPa to 67.7 MPa in Hazad Member. The pore pressure profile displayed variations along the stratigraphic sequence, with the shale zone, particularly in the Kanwa Formation, attaining the maximum pressure gradient (approximately 36 MPa). However, consistently low pore pressure values (30-34 MPa) considerably below the fracture gradient curves were observed in Hazad Member due to depletion. The results from our analysis provide valuable insights into shaping future field development strategies and exploration of the feasibility of CO2 sequestration in Gandhar Field.

References:

Abdulaziz AM, Mahdi HA, Sayyouh MH (2019) Prediction of reservoir quality using well logs and seismic attributes analysis with an artificial neural network: A case study from Farrud Reservoir, Al-Ghani Field, Libya. J Appl Geophy 161: 239-254. https://doi.org/10.1016/j.jappgeo.2018.09.013
Agarwal B, Singh H, Tandon AN, Upadhyaya PK, Ram J (2013) Detection of thin sand by using seismic inversion in Gandhar field of Cambay Basin, India-A case study. 10th Biennial International Conference & Exposition
Aswal HS, Das KK, Yadava UN, Nayak KK, Prathimon PT, Rana P (2013) Lithobiostratigraphic Correlation and Paleoenvironment of Hazad Pays in Eastern Part of Jambusar-Broach Block, Cambay Basin. SPG’s 10th Biennial International Conference & Exposition, Kochi, India
Austin O, Samuel IO, Agbasi O, Abdulrazzaq ZT (2018) Application of model-based inversion technique in a field in the coastal swamp depobelt, Niger delta. International Journal of Advanced Geosciences 6: 122. https://doi.org/10.14419/IJAG.V6I1.10124
Bachu S (2015) Review of CO2 storage efficiency in deep saline aquifers. International Journal of Greenhouse Gas Control 40: 188-202. https://doi.org/10.1016/j.ijggc.2015.01.007
Bachu S (2016) Identification of oil reservoirs suitable for CO2-EOR and CO2 storage (CCUS) using reserves databases, with application to Alberta, Canada. International Journal of Greenhouse Gas Control 44: 152-165. https://doi.org/10.1016/j.ijggc.2015.11.013
Biswas SK, Rangaraju MK, Thomas J, Bhattacharya SK (1994) Cambay-Hazad(!) Petroleum System in the South Cambay Basin, India. In: The Petroleum System — From Source to Trap. American Association of Petroleum Geologists, pp 615-624
Callas C, Saltzer SD, Steve Davis J, Hashemi SS, Kovscek AR, Okoroafor ER, Wen G, Zoback MD, Benson SM (2022) Criteria and workflow for selecting depleted hydrocarbon reservoirs for carbon storage. Appl Energy 324: 119668. https://doi.org/10.1016/j.apenergy.2022.119668
Chandra D, Vishal V (2022) A Comparative Analysis of Pore Attributes of Sub-Bituminous Gondwana Coal from the Damodar and Wardha Valleys: Implication for Enhanced Coalbed Methane Recovery. Energy & Fuels 36: 6187-6197. https://doi.org/10.1021/acs.energyfuels.2c00854
Eaton BA (1975) The Equation for Geopressure Prediction from Well Logs. In: Fall Meeting of the Society of Petroleum Engineers of AIME. SPE, Dallas, Texas
Freedman R, Boyd A, Gubelin G, Mckeon D, Morriss CE, Wireline S, Flaum TC (1997) Measurement Of Total Nmr Porosity Adds New Value To Nmr Logging. SPWLA 38th Annual Logging Symposium, Houston, USA
Hampson D, Todorov T, Russell B (2018) Using multi-attribute transforms to predict log properties from seismic data. 31: 481-487. https://doi.org/10.1071/EG00481
Jafari M, Nikrouz R, Kadkhodaie A (2017) Estimation of acoustic-impedance model by using model-based seismic inversion on the Ghar Member of Asmari Formation in an oil field in southwestern Iran. The Leading Edge 36: 487-492. https://doi.org/10.1190/TLE36060487.1
Jaiswal S, Bhattacharya B, Chakrabarty S (2018) High resolution sequence stratigraphy of middle Eocene Hazad member, Jambusar-broach block, Cambay Basin, India. Marine and Petroleum Geology, 93: 79-94. https://doi.org/10.1016/j.marpetgeo.2018.03.001
Kumar A, Narayan JP, Lakhera S, Chattopadhyay T, Verma RP, Unit G-S (2004) Analysis of GS-11 Low-Resistivity Pay in Main Gandhar Field, Cambay Basin, India-A Case Study. SPG’s 5th Conference & Exposition on Petroleum Geophysics. Hyderabad, India, 162-166
Latimer RB (2011) 9. Inversion and Interpretation of Impedance Data. Investigations in Geophysics Series 309-350. https://doi.org/10.1190/1.9781560802884.CH9
Malik S, Makauskas P, Karaliūt? V, Pal M, Sharma R (2024) Assessing the geological storage potential of CO2 in Baltic Basin: A case study of Lithuanian hydrocarbon and deep saline reservoirs. Int. J. Greenh. Gas Control 133: 104097. https://doi.org/10.1016/j.ijggc.2024.104097
Malik S, Makauskas P, Sharma R, Pal M (2023) Exploring CO2 storage potential in Lithuanian deep saline aquifers using digital rock volumes: a machine learning guided approach: In: Baltic Carbon Forum. JVE International Ltd., pp. 13-14. https://doi.org/10.21595/bcf.2023.23615
Maurya SP, Singh KH (2015) Reservoir Characterization using Model Based Inversion and Probabilistic Neural Network. Discovery 49(228): 122-127
Maurya SP, Singh KH (2019) Predicting Porosity by Multivariate Regression and Probabilistic Neural Network using Model-based and Coloured Inversion as External Attributes: A Quantitative Comparison. Journal Geological Society of India: 207-212. https://doi.org/10.1007/s12594-019-1153-5
Maurya SP, Singh NP, Singh KH (2020) Seismic Inversion Methods: A Practical Approach. https://doi.org/10.1007/978-3-030-45662-7
Mishra GK, Meena RK, Mitra S, Saha K, Dhakate VP, Prakash O, Singh RK (2019) Planning India’s First CO2-EOR Project as Carbon Capture Utilization & Storage: A Step Towards Sustainable Growth. SPE OGIC 2019, Mumbai, India
MoPNG (2022) Draft 2030 Roadmap for Carbon Capture Utilization and Storage for Upstream E&P companies. Ministry of Petroleum and Natural Gas, Govt. of India, New Delhi, India. https://mopng.gov.in/en/page/33
Mukherjee A, and Chatterjee S (2022) Carbon Capture, Utilization and Storage (CCUS) -Policy Framework and its Deployment Mechanism in India. NITI Aayog, New Delhi, India. https://www.niti.gov.in/sites/default/files/2022-12/CCUS-Report.pdf.
Pal M, Karaliūt? V, Malik S (2023) Exploring the Potential of Carbon Capture, Utilization, and Storage in Baltic Sea Region Countries: A Review of CCUS Patents from 2000 to 2022. Processes 11, 605. https://doi.org/10.3390/pr11020605
Raza A, Rezaee R, Gholami R, Bing CH, Nagarajan R, Hamid MA (2016) A screening criterion for selection of suitable CO2 storage sites. J Nat Gas Sci Eng 28: 317-327. https://doi.org/10.1016/j.jngse.2015.11.053
Russell B (1988) Introduction to Seismic Inversion Methods. Society of Exploration Geophysicists, Tulsa, USA
Russell B, Hampson D (2006) The old and the new in seismic inversion. CSEG Recorder 31(10): 5-11
Saha P, Arasu R, Rahaman M, Tiwari D, Josyulu B (2004) Post-rift Structural Evolution Of Gandhar-Nada Area And Its Implication On Hydrocarbon Entrapment In Broach-Jambusar Block, Cambay Basin, India. SPG’s 5th Conference & Exposition on Petroleum Geophysics, Hyderabad, India, 413-422
Shao-wu G, Bo Z, Zhen-hua H, Yu-ning M, Shao-wu G, Bo Z, Zhen-hua H, Yu-ning M (2009) Research progress of seismic wavelet extraction. Progress in Geophysics 24(4): 1384-1391. https://doi.org/10.3969/J.ISSN.1004-2903.2009.04.028
Sheriff RE (2002) Encyclopedic dictionary of applied geophysics. Society of Exploration Geophysicists, Tulsa, USA
Szulczewski ML, MacMinn CW, Juanes R (2014) Theoretical analysis of how pressure buildup and CO2 migration can both constrain storage capacity in deep saline aquifers. International Journal of Greenhouse Gas Control 23: 113-118. https://doi.org/10.1016/j.ijggc.2014.02.006
Tariq Z, Gudala M, Xu Z, et al (2022) An Effective Method of Estimating Nuclear Magnetic Resonance Based Porosity Using Deep Learning Approach. ADIPEC. SPE, Abu Dhabi, UAE, p SPE-211360-MS
Terzaghi K (1943) Theoretical Soil Mechanics. John Wiley & Sons, Inc
Toqeer M, Ali A, Alves TM, Khan A, Zubair, Hussain M (2021) Application of model based post-stack inversion in the characterization of reservoir sands containing porous, tight and mixed facies: A case study from the Central Indus Basin, Pakistan. Journal of Earth System Science 130(2): 1-21. https://doi.org/10.1007/S12040-020-01543-5
Veeken PCH, Da Silva M (2004) Seismic inversion methods and some of their constraints. First Break 22: 47-70. https://doi.org/10.3997/1365-2397.2004011
Verma Y, Vishal V (2021) Role of Geological Carbon-Dioxide sequestration in India’s efforts towards Net Zero Emissions. MGMI News Journal 47: 40-49
Verma Y, Vishal V (2022) Evaluating CCS readiness in India: CO2 storage potential, source-sink mapping and policy outlook. AGU Fall Meeting 2022, Chicago, USA
Verma Y, Vishal V (2024) Modeling and simulation of CO2 geological storage. In: Rahimpour MR, Makarem MA, Meshksar M, Bakhtyari A (Eds). Advances and Technology Development in Greenhouse Gases: Emission, Capture and Conversion-Process Modelling and Simulation. Elsevier, 153-175
Verma Y, Vishal V, Ranjith P (2021a) Risk analysis of injection-induced seismicity associated with geological CO2 storage through enhanced oil recovery. AGU Fall Meeting 2021, New Orleans, USA
Verma Y, Vishal V, Ranjith PG (2021b) Sensitivity Analysis of Geomechanical Constraints in CO2 Storage to Screen Potential Sites in Deep Saline Aquifers. Frontiers in Climate 3: 1-22. https://doi.org/10.3389/fclim.2021.720959
Vishal V (2017) Saturation time dependency of liquid and supercritical CO2 permeability of bituminous coals: Implications for carbon storage. Fuel 192: 201-207. https://doi.org/10.1016/j.fuel.2016.12.017
Vishal V, Chandra D, Singh U, Verma Y (2021a) Understanding initial opportunities and key challenges for CCUS deployment in India at scale. Resour Conserv Recycl 175: 105829. https://doi.org/10.1016/j.resconrec.2021.105829
Vishal V, Singh U, Bakshi T, Chandra D, Verma Y, Tiwari AK (2023a) Optimal source-sink matching and prospective hub-cluster configurations for CO2 capture and storage in India. Geological Society, London, Special Publications 528(1): 209-225. https://doi.org/10.1144/SP528-2022-76
Vishal V, Verma Y, Chandra D, Ashok D (2021b) A systematic capacity assessment and classification of geologic CO2 storage systems in India. International Journal of Greenhouse Gas Control 111: 103458. https://doi.org/10.1016/jijggc.2021.103458
Vishal V, Verma Y, Sulekh K, Singh TN, Dutta A (2023b) A firstorder estimation of underground hydrogen storage potential in Indian sedimentary basins. Geological Society, London, Special Publications 528(1): 123-137. https://doi.org/10.1144/SP528-2022-24
Wang J, Wu J, Wu Z, Jeong J, Jeon G (2017) Wiener filter-based wavelet domain denoising. Displays 46: 37-41. https://doi.org/10.1016/J.DISPLA.2016.12.003
Xu G, Haq BU (2022) Seismic facies analysis: Past, present and future. Earth Sci Rev 224: 103876. https://doi.org/10.1016/j.earscirev.2021.103876
Yadav A, Yadav K, Sircar A (2021) Feedforward neural network for joint inversion of geophysical data to identify geothermal sweet spots in Gandhar, Gujarat, India. Energy Geoscience 2(3): 189-200
Yilmaz ? (2001) Seismic Data Analysis. Society of Exploration Geophysicists, Tulsa, USA
Zoback MD, Barton CA, Brudy M, Castillo DA, Finkbeiner T, Grollimund BR, Moos DB, Peska P, Ward CD, Wiprut DJ (2003) Determination of stress orientation and magnitude in deep wells. International Journal of Rock Mechanics and Mining Sciences 40(7-8): 1049-1076. https://doi.org/10.1016/j.ijrmms.2003.07.001

Memo

Memo:
Received date:2024-1-30;Accepted date:2024-5-6。
Foundation item:Supported by DST, Ministry of Science and Technology (Reference: DST/TMD/CCUS/CoE/2020/ IITB (C)).
Corresponding author:Yashvardhan Verma,E-mail:yash_verma@iitb.ac.in
Last Update: 2024-09-29