2022 Vol. 5, No. 3
Article Contents

Md. Shahadot Hossain, M. Moklesur Rahman, Mst. Habiba Khatu, Md. Rubel Haque, 2022. Petrophysical properties assessment using wireline logs data at well#3 of Srikail gas field, Bangladesh, China Geology, 5, 393-401. doi: 10.31035/cg2022023
Citation: Md. Shahadot Hossain, M. Moklesur Rahman, Mst. Habiba Khatu, Md. Rubel Haque, 2022. Petrophysical properties assessment using wireline logs data at well#3 of Srikail gas field, Bangladesh, China Geology, 5, 393-401. doi: 10.31035/cg2022023

Petrophysical properties assessment using wireline logs data at well#3 of Srikail gas field, Bangladesh

More Information
  • This study focused on the quantitative analysis of the petrophysical parameters in characterizing the reservoir properties of the Srikail gas field using multi-scale wireline logs. Petrophysical parameters (shale volume, porosity, water saturation and hydrocarbon saturation) were estimated from the combination of gamma ray log, resistivity log, density log and neutron log for three hydrocarbon (gas)-bearing zones at well#3. At the first time, log records at 0.1 m and 0.2 m intervals were read for this study. Result showed the average shale volume is 21.07%, 53.67% and 51.71% for zone-1, zone-2 and zone-3, respectively. For these zones, the estimated average porosity was 35.89%, 29.83% and 28.76%, respectively. The average water saturation of 31.54%, 16.83% and 23.39% and average hydrocarbon saturation of 68.46%, 83.17% and 76.61% were calculated for zone-1, zone-2 and zone-3, respectively. Thus zone-2 is regarded the most productive zone of well#3. It was found that the values of some parameters (porosity, hydrocarbon saturation and permeability) are higher than the existing results. Therefore, this study confirmed that the log reading at minute/close interval provides better quantitive values of the reservoir’s petrophysical properties. It is expected that this result will contribute to the national gas field development program in future.

  • 加载中
  • Abraham-A RM, Taioli F. 2017. The relevance of porosity in the evaluation of hydrocarbon reservoirs. 9th congress of the Balkan geophysical society, Antalya, Turkey.

    Google Scholar

    Abudeifa AM, Attiaa MM, Radwanb AE. 2016. Petrophysical and petrographic evaluation of Sidri member of Belayim formation, Badri field, Gulf of Suez, Egypt. Journal of African Earth Sciences, 115, 108–120. doi: 10.1016/j.jafrearsci.2015.11.028.

    CrossRef Google Scholar

    Ahammod S, Hai MA, Islam MR, Abu S. 2014. Petro-physical analysis of reservoir rock of Fenchuganj gas field (Well# 03) using wireline log. American Journal of Engineering Research, 3(8), 37–48.

    Google Scholar

    Asquith G, Krygowski D. 2004. Basic Well Log Analysis. American Association of Petroleum Geologists. AAPG Methods in Exploration Series 16. American Association of Petroleum Geologists, Tulsa, Oklahoma,12–135.

    Google Scholar

    Al Fatta A, Islam MS, Farhaduzzaman M. 2018. Petrophysical analysis of Sylhet gas field using well alogs and associated data from well Sylhet #, Bangladesh. International Journal of Petroleum and Petrochemical Engineering, 4, 55–69. doi: 10.20431/2454-7980.0401007.

    CrossRef Google Scholar

    Alam M, Alam MM, Curray JR, Chowdhury MLR, Gani MR. 2003. An overview of the sedimentary geology of the Bengal Basin in relation to the regional tectonic framework and basin-fill history. Sedimentary geology, 155(3-4), 179–208. doi: 10.1016/S0037-0738(02)00180-X.

    CrossRef Google Scholar

    Brock J. 1986. Applied open-hole log analysis. Gulf publishing company, Houston, Texas Chatterjee R, Datta Gupta S, Farooqui MY. 2013. Reservoir identification using full stack seismic inversion technique: A case study from Cambay basin oilfields, India. Journal of Petroleum Science and Engineering, 109, 87–95. doi: 10.1016/j.petrol.2013.08.006.

    Google Scholar

    Clavier C, Hoyle W, Meunier D. 1971. Quantitative interpretation of thermal neutron decay time logs: Part I. Fundamentals and techniques. Journal of Petroleum Technology, 23(6), 743–755. doi: 10.2118/2658-A-PA.

    CrossRef Google Scholar

    Curray JR. 1991. Geological history of the Bengal geosyncline. Journal of Association of Exploration Geophysicists, 12(4), 209–219.

    Google Scholar

    Das B, Chatterjee R. 2018. Well log data analysis for lithology and fluid identification in Krishna-Godavari Basin, India. Arabian Journal of Geosciences, 11, 231–242. doi: 10.1007/s12517-018-3587-2.

    CrossRef Google Scholar

    Ellis DV. 1987. Well Logging for Earth Scientists. Elsevier, New York.

    Google Scholar

    Hossain AH, Shamsuddin M, Abdullah SKM. 1997. Geological evaluation of the Bengal Basin and its implication in hydrocarbon exploration in Bangladesh. Indian Journal of Geology, 69(2), 93–121.

    Google Scholar

    Hossain MIS, Woobaidullah A, Rahman MJ. 2017. Petroleum system of Srikail gas field using sequence stratigraphy. Bangladesh Journal of Scientific Research, 30(1-2), 1–9. doi: 10.3329/bjsr.v30i1-2.36115.

    CrossRef Google Scholar

    Hossain MIS, Woobaidullah A, Rahman MJ. 2020. Reservoir characterization of srikail gas field using wireline log data. Dhaka University Journal of Earth and Environmental Science, 5, 1–8.

    Google Scholar

    Gogoi T, Chatterjee R. 2019. Estimation of petrophysical parameters using seismic inversion and neural network modeling in Upper Assam Basin, India. Geoscience Frontiers, 10, 1113–1124. doi: 10.1016/j.gsf.2018.07.002.

    CrossRef Google Scholar

    Iqbal R, Ali I, Saira 2017. Petro-physical investigation and reservoir characterization through well logging. Journal of Applied and Emerging Sciences, 7(1), 1–11. doi: 10.36785/jaes.71210.

    Google Scholar

    Imam B. 2013. Energy resources of Bangladesh. Second ed. University grants commission of Bangladesh, Dhaka.

    Google Scholar

    Islam A, Habib M, Islam M, Mita M. 2013. Interpretation of wireline log data for reservoir characterization of the Rashidpur gas field, Bengal Basin, Bangladesh. IOSR Journal of Applied Geology and Geophysics, 1(4), 47–54. doi: 10.9790/0990-0144754.

    CrossRef Google Scholar

    Islam GA, Nipa FY, Shah MS. 2017. Petro physical properties analysis of beani bazar gas field, Bangladesh using wireline log interpretation. International Journal of Advanced Geosciences, 5(2), 95–101. doi: 10.14419/ijag.v5i2.8125.

    CrossRef Google Scholar

    Kamel MH, Mohamed MM. 2006. Effective porosity determination in clean/shaly formations from acoustic logs. Journal of Petroleum Science and Engineering, 51(3-4), 267–274. doi: 10.1016/j.petrol.2006.01.007.

    CrossRef Google Scholar

    Krygowski GAD. 2006. Basic Well Log Analysis. 2nd ed. AAPG.

    Google Scholar

    Kumar M, Dasgupta R, Singha DK, Singh NP. 2018. Petrophysical evaluation of well log data and rock physics modeling for characterization of Eocene reservoir in Chandmari oil field of Assam-Arakan basin, India. Journal of Petroleum Exploration and Production Technology, 8, 323–340. doi: 10.1007/s13202-017-0373-8.

    CrossRef Google Scholar

    Mehana M, El-monier I. 2016. Shale characteristics impact on nuclear magnetic resonance. Petroleum, 2(2), 138–147. doi: 10.1016/j.petlm.2016.02.002.

    CrossRef Google Scholar

    Pandey AK, Chatterjee R, Choudhury B. 2020. Application of neural network modelling for classifying hydrocarbon bearing zone, water bearing zone and shale with estimation of petrophysical parameters in Cauvery basin, India. Journal of Earth System Science, 129. doi: 10.1007/s12040-019-1285-4.

    CrossRef Google Scholar

    PETROBANGLA, 2020. Bangldesh Oil, Gas and Mineral Corporation (Petrobangla) Annual Report, 2020. http://www.petrobangla.org.bd/site/view/annual_reports/-

    Google Scholar

    Poupon A, Leveaux J. 1971. Evaluation of water saturations in shaly formations. The Log Analyst 12 (4).

    Google Scholar

    Rider MH. 1966. Geological interpretation of well logs. 2nd ed. Houston: Gulf Pub.

    Google Scholar

    Ross Crain ER. 1999. Crain's Petrophysical Handbook by E. R. (Ross) Crain, PEng. online at www. spec2000. net.

    Google Scholar

    Ruhovets N, Fertl WH. 1982. Volumes, types, and distribution of clay minerals in reservoir rocks based on well logs. SPE/DOE Unconventioal Gas Recovery Symposium, Pittsburgh, Pennsylvania. doi: 10.2118/10796-MS.

    CrossRef Google Scholar

    Sam-Marcus J, Enaworu E, Oluwatosin J, Rotimi, Seteyeobot I. 2018. A proposed solution to the determination of water saturation: Using a modelled equation. Journal of Petroleum Exploration and Production Technology, 8, 1009–1015. doi: 10.1007/s13202-018-0453-4.

    CrossRef Google Scholar

    Shetol MH, Rahman MM, Sarder R, Hossain MI, Riday FK. 2019. Present status of Bangladesh gas fields and future development: A review. Journal of Natural Gas Geoscience, 4(6), 347–54.doi. doi: 10.1016/j.jnggs.2019.10.005.

    CrossRef Google Scholar

    Schlumberger Limited, 1991. Log interpretation principles/applications. Houston, Tx. Schlumberger Education Services.

    Google Scholar

    Schlumberger Offshore Services, 1975. A guide to well site interpretation for the Gulf Coast. New Orleans: Schlumberger Offshore Services.

    Google Scholar

    Serra O. 1984. Fundamentals of Well-Log interpretation. Developments in Petroleum Science, 15A.

    Google Scholar

    Singh N. 2019. Permeability prediction from wireline logging and core data: A case study from Assam-Arakan basin. Journal of Petroleum Exploration and Production Technology, 9(1), 297–305. doi: 10.1007/s13202-018-0459-y.

    CrossRef Google Scholar

    Tiab D, Donaldson EC. 2012. Petrophysics: Theory and practice of measuring reservoir rock and fluid transport properties. Gulf Professional Publishing, Houston Texas.

    Google Scholar

    Watts M. 2013. Oil Talk. Development and Change, 44(4), 1013–1026. doi: 10.1111/dech.12007.

    CrossRef Google Scholar

    Whitehurst C. 2014. Well log analysis for reservoir characterization. AAPG Wiki.https://wiki.aapg.org/Well log analysis for reservoir characterization.

    Google Scholar

    Whitehurst C. 2016. Density-neutron log porosity. AAPG Wiki. https://wiki.aapg.org/Density-neutron log porosity.

    Google Scholar

  • 加载中
通讯作者: 陈斌, bchen63@163.com
  • 1. 

    沈阳化工大学材料科学与工程学院 沈阳 110142

  1. 本站搜索
  2. 百度学术搜索
  3. 万方数据库搜索
  4. CNKI搜索

Figures(2)

Tables(8)

Article Metrics

Article views(460) PDF downloads(3) Cited by(0)

Access History

Catalog

    /

    DownLoad:  Full-Size Img  PowerPoint