IDEAS home Printed from https://ideas.repec.org/a/eee/energy/v222y2021ics0360544221002322.html
   My bibliography  Save this article

Quantitative evaluation of transport efficiency of fault-reservoir composite migration pathway systems in carbonate petroliferous basins

Author

Listed:
  • Wang, Wenyang
  • Pang, Xiongqi
  • Chen, Zhangxin
  • Chen, Dongxia
  • Wang, Yaping
  • Yang, Xuan
  • Luo, Bing
  • Zhang, Wang
  • Zhang, Xinwen
  • Li, Changrong
  • Wang, Qifeng
  • Li, Caijun

Abstract

Carbonate petroliferous basins usually develop fault-reservoir composite migration pathway systems. Accurate estimates of transport efficiency are important for locating oil and gas prospects, which is of considerable interest to oil explorers. The Cambrian Longwangmiao Formation in the Moxi–Gaoshiti area in the Sichuan Basin, the largest single monoblock gas accumulation in China with complicated migration pathway systems, was selected as an example to demonstrate the method. Using a combination of geologic, statistical, experimental data analyses, and quantitative characterization, a quantitative method for calculating the fault-reservoir composite transport efficiency is established for the first time. The results show that fault-reservoir composite migration pathway systems control the hydrocarbon accumulation. The analysis of data from 17 drilling wells using this method indicated a strong correlation between well productivity and composite transport efficiency, and the matching degree of actual and predicted results was as high as 83%. The best locations for oil and gas exploration are near areas with a high composite transport efficiency. Project planners can quickly find oil and gas prospects by matching calculated composite transport efficiencies to observed petroleum occurrences in a basin to avoid costly drilling mistakes. The method will have wide application in other carbonate basins around the world.

Suggested Citation

  • Wang, Wenyang & Pang, Xiongqi & Chen, Zhangxin & Chen, Dongxia & Wang, Yaping & Yang, Xuan & Luo, Bing & Zhang, Wang & Zhang, Xinwen & Li, Changrong & Wang, Qifeng & Li, Caijun, 2021. "Quantitative evaluation of transport efficiency of fault-reservoir composite migration pathway systems in carbonate petroliferous basins," Energy, Elsevier, vol. 222(C).
    • Handle: RePEc:eee:energy:v:222:y:2021:i:c:s0360544221002322
    DOI: 10.1016/j.energy.2021.119983
    as

    Download full text from publisher

    File URL: http://www.sciencedirect.com/science/article/pii/S0360544221002322
    Download Restriction: Full text for ScienceDirect subscribers only
    File URL: https://libkey.io/10.1016/j.energy.2021.119983?utm_source=ideas
    LibKey link: if access is restricted and if your library uses this service, LibKey will redirect you to where you can use your library subscription to access this item
    ---><---

    As the access to this document is restricted, you may want to search for a different version of it.

    References listed on IDEAS

    as
    1. Ezeuko, C.C. & Gates, I.D., 2018. "Thermal oil recovery from fractured reservoirs: Energy and emissions intensities," Energy, Elsevier, vol. 155(C), pages 29-34.
    2. Cai, Jianchao & Zhang, Zhien & Wei, Wei & Guo, Dongming & Li, Shuai & Zhao, Peiqiang, 2019. "The critical factors for permeability-formation factor relation in reservoir rocks: Pore-throat ratio, tortuosity and connectivity," Energy, Elsevier, vol. 188(C).
    3. Aguilera, Roberto F., 2014. "Production costs of global conventional and unconventional petroleum," Energy Policy, Elsevier, vol. 64(C), pages 134-140.
    4. Hofmann, Hannes & Weides, Simon & Babadagli, Tayfun & Zimmermann, Günter & Moeck, Inga & Majorowicz, Jacek & Unsworth, Martyn, 2014. "Potential for enhanced geothermal systems in Alberta, Canada," Energy, Elsevier, vol. 69(C), pages 578-591.
    5. Luo, Dongkun & Zhao, Xu, 2012. "Modeling the operating costs for petroleum exploration and development projects," Energy, Elsevier, vol. 40(1), pages 189-195.
    6. Wang, Wenyang & Pang, Xiongqi & Chen, Zhangxin & Chen, Dongxia & Ma, Xinhua & Zhu, Weiping & Zheng, Tianyu & Wu, Keliu & Zhang, Kun & Ma, Kuiyou, 2020. "Improved methods for determining effective sandstone reservoirs and evaluating hydrocarbon enrichment in petroliferous basins," Applied Energy, Elsevier, vol. 261(C).
    7. Wang, Wenyang & Pang, Xiongqi & Chen, Zhangxin & Chen, Dongxia & Zheng, Tianyu & Luo, Bing & Li, Jing & Yu, Rui, 2019. "Quantitative prediction of oil and gas prospects of the Sinian-Lower Paleozoic in the Sichuan Basin in central China," Energy, Elsevier, vol. 174(C), pages 861-872.
    8. Chen, Shangbin & Zhu, Yanming & Wang, Hongyan & Liu, Honglin & Wei, Wei & Fang, Junhua, 2011. "Shale gas reservoir characterisation: A typical case in the southern Sichuan Basin of China," Energy, Elsevier, vol. 36(11), pages 6609-6616.
    Full references (including those not matched with items on IDEAS)

    Citations

    Citations are extracted by the CitEc Project, subscribe to its RSS feed for this item.
    as


    Cited by:

    1. Wang, Enze & Li, Changrong & Feng, Yue & Song, Yanchen & Guo, Tonglou & Li, Maowen & Chen, Zhuoheng, 2022. "Novel method for determining the oil moveable threshold and an innovative model for evaluating the oil content in shales," Energy, Elsevier, vol. 239(PA).
    2. Hu, Tao & Liu, Yuan & Jiang, Fujie & Pang, Xiongqi & Wang, Qifeng & Zhou, Kuo & Wu, Guanyun & Jiang, Zhenxue & Huang, Liliang & Jiang, Shu & Zhang, Chenxi & Li, Maowen & Chen, Zhangxin, 2024. "A novel method for quantifying hydrocarbon micromigration in heterogeneous shale and the controlling mechanism," Energy, Elsevier, vol. 288(C).

    Most related items

    These are the items that most often cite the same works as this one and are cited by the same works as this one.
    1. Wang, Wenyang & Pang, Xiongqi & Chen, Zhangxin & Chen, Dongxia & Ma, Xinhua & Zhu, Weiping & Zheng, Tianyu & Wu, Keliu & Zhang, Kun & Ma, Kuiyou, 2020. "Improved methods for determining effective sandstone reservoirs and evaluating hydrocarbon enrichment in petroliferous basins," Applied Energy, Elsevier, vol. 261(C).
    2. Wang, Wenyang & Pang, Xiongqi & Chen, Zhangxin & Chen, Dongxia & Zheng, Tianyu & Luo, Bing & Li, Jing & Yu, Rui, 2019. "Quantitative prediction of oil and gas prospects of the Sinian-Lower Paleozoic in the Sichuan Basin in central China," Energy, Elsevier, vol. 174(C), pages 861-872.
    3. Shan, Baochao & Wang, Runxi & Guo, Zhaoli & Wang, Peng, 2021. "Contribution quantification of nanoscale gas transport in shale based on strongly inhomogeneous kinetic model," Energy, Elsevier, vol. 228(C).
    4. Xu, Chengyuan & Yan, Xiaopeng & Kang, Yili & You, Lijun & You, Zhenjiang & Zhang, Hao & Zhang, Jingyi, 2019. "Friction coefficient: A significant parameter for lost circulation control and material selection in naturally fractured reservoir," Energy, Elsevier, vol. 174(C), pages 1012-1025.
    5. Yin, Hong & Zhou, Junping & Xian, Xuefu & Jiang, Yongdong & Lu, Zhaohui & Tan, Jingqiang & Liu, Guojun, 2017. "Experimental study of the effects of sub- and super-critical CO2 saturation on the mechanical characteristics of organic-rich shales," Energy, Elsevier, vol. 132(C), pages 84-95.
    6. Xiaoyan Zou & Xianqing Li & Jizhen Zhang & Huantong Li & Man Guo & Pei Zhao, 2021. "Characteristics of Pore Structure and Gas Content of the Lower Paleozoic Shale from the Upper Yangtze Plate, South China," Energies, MDPI, vol. 14(22), pages 1-29, November.
    7. Alves, Joana Duarte Ouro & Faria, Weslem Rodrigues, 2024. "Reserves, well drilling and production: Assessing the optimal trajectory of oil extraction for Brazil," Resources Policy, Elsevier, vol. 88(C).
    8. Qin, Chao & Jiang, Yongdong & Zuo, Shuangying & Chen, Shiwan & Xiao, Siyou & Liu, Zhengjie, 2021. "Investigation of adsorption kinetics of CH4 and CO2 on shale exposure to supercritical CO2," Energy, Elsevier, vol. 236(C).
    9. Chen, Junqing & Jiang, Fujie & Cong, Qi & Pang, Xiongqi & Ma, Kuiyou & Shi, Kanyuan & Pang, Bo & Chen, Dongxia & Pang, Hong & Yang, Xiaobin & Wang, Yuying & Li, Bingyao, 2023. "Adsorption characteristics of shale gas in organic–inorganic slit pores," Energy, Elsevier, vol. 278(C).
    10. Hu, Xincheng & Banks, Jonathan & Guo, Yunting & Liu, Wei Victor, 2022. "Utilizing geothermal energy from enhanced geothermal systems as a heat source for oil sands separation: A numerical evaluation," Energy, Elsevier, vol. 238(PA).
    11. Sun, Yongling & Delucchi, Mark A. & Lawell, C.-Y. Cynthia L. & Ogden, Joan M., 2019. "The Producer Surplus Associated with Gasolne Fuel Use in the United States," Institute of Transportation Studies, Research Reports, Working Papers, Proceedings qt0591r5x3, Institute of Transportation Studies, UC Berkeley.
    12. Acquah-Andoh, Elijah & Putra, Herdi A. & Ifelebuegu, Augustine O. & Owusu, Andrews, 2019. "Coalbed methane development in Indonesia: Design and economic analysis of upstream petroleum fiscal policy," Energy Policy, Elsevier, vol. 131(C), pages 155-167.
    13. Do, Truong Xuan & Lim, Young-il, 2016. "Techno-economic comparison of three energy conversion pathways from empty fruit bunches," Renewable Energy, Elsevier, vol. 90(C), pages 307-318.
    14. Li, Jing & Zhang, Lisong & Yang, Feiyue & Sun, Luning, 2020. "Positive measure and potential implication for heavy oil recovery of dip reservoir using SAGD based on numerical analysis," Energy, Elsevier, vol. 193(C).
    15. Langer, Lissy & Huppmann, Daniel & Holz, Franziska, 2016. "Lifting the US crude oil export ban: A numerical partial equilibrium analysis," Energy Policy, Elsevier, vol. 97(C), pages 258-266.
    16. Zhiyao Zhang & Shang Xu & Qiyang Gou & Qiqi Li, 2022. "Reservoir Characteristics and Resource Potential of Marine Shale in South China: A Review," Energies, MDPI, vol. 15(22), pages 1-21, November.
    17. Afees Adebare Salisu & Idris A. Adediran, 2018. "The U.S. Shale Oil Revolution and the Behavior of Commodity Prices," Econometric Research in Finance, SGH Warsaw School of Economics, Collegium of Economic Analysis, vol. 3(1), pages 27-53, September.
    18. Yuanyuan Tian & Qing Chen & Changhui Yan & Hongde Chen & Yanqing He & Yufeng He, 2022. "A New Adsorption Equation for Nano-Porous Shale Rocks and Its Application in Pore Size Distribution Analysis," Energies, MDPI, vol. 15(9), pages 1-13, April.
    19. Nemet, Andreja & Klemeš, Jiří Jaromír & Kravanja, Zdravko, 2013. "Optimising entire lifetime economy of heat exchanger networks," Energy, Elsevier, vol. 57(C), pages 222-235.
    20. Gou, Qiyang & Xu, Shang & Hao, Fang & Yang, Feng & Shu, Zhiguo & Liu, Rui, 2021. "The effect of tectonic deformation and preservation condition on the shale pore structure using adsorption-based textural quantification and 3D image observation," Energy, Elsevier, vol. 219(C).

    Corrections

    All material on this site has been provided by the respective publishers and authors. You can help correct errors and omissions. When requesting a correction, please mention this item's handle: RePEc:eee:energy:v:222:y:2021:i:c:s0360544221002322. See general information about how to correct material in RePEc.

    If you have authored this item and are not yet registered with RePEc, we encourage you to do it here. This allows to link your profile to this item. It also allows you to accept potential citations to this item that we are uncertain about.

    If CitEc recognized a bibliographic reference but did not link an item in RePEc to it, you can help with this form .

    If you know of missing items citing this one, you can help us creating those links by adding the relevant references in the same way as above, for each refering item. If you are a registered author of this item, you may also want to check the "citations" tab in your RePEc Author Service profile, as there may be some citations waiting for confirmation.

    For technical questions regarding this item, or to correct its authors, title, abstract, bibliographic or download information, contact: Catherine Liu (email available below). General contact details of provider: http://www.journals.elsevier.com/energy .

    Please note that corrections may take a couple of weeks to filter through the various RePEc services.

    IDEAS is a RePEc service. RePEc uses bibliographic data supplied by the respective publishers.