IDEAS home Printed from https://ideas.repec.org/a/eee/energy/v174y2019icp861-872.html
   My bibliography  Save this article

Quantitative prediction of oil and gas prospects of the Sinian-Lower Paleozoic in the Sichuan Basin in central China

Author

Listed:
  • Wang, Wenyang
  • Pang, Xiongqi
  • Chen, Zhangxin
  • Chen, Dongxia
  • Zheng, Tianyu
  • Luo, Bing
  • Li, Jing
  • Yu, Rui

Abstract

Reliably and conveniently predicting oil and gas prospects and avoiding costly drilling mistakes are the goals pursued by oil explorers and companies. In 2013, the Anyue gas field was discovered in Sichuan Basin, and it was the first discovery of a giant natural gas field in Precambrian strata attracting extensive attention since then. However, the complexity of geology in the Sinian-Lower Paleozoic makes prediction of oil and gas prospects very challenging. Based on the comprehensive review of the Anyue gas field, we identify four functional elements, i.e., a source kitchen (S), paleo-uplift (U), reservoir depositional facies (D), and regional cap rock (C). The combination of these four functional elements in time and space (T- CDUS) controls the Sinian-Lower Paleozoic hydrocarbon accumulation. The probability for hydrocarbon accumulation is determined by a proposed index, Tcdus. As a tectonic movement can damage oil and gas reservoirs formed prior to the movement, a model for calculating the hydrocarbon reservoir preservation probability is also established. The oil and gas prospects in Sinian-Lower Paleozoic are predicted with the combination of the hydrocarbon accumulation and preservation model. 137 wells drilled in the Sichuan Basin show that 88.9% of the successful wells are distributed in the predicted zones.

Suggested Citation

  • 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.
  • Handle: RePEc:eee:energy:v:174:y:2019:i:c:p:861-872
    DOI: 10.1016/j.energy.2019.03.018
    as

    Download full text from publisher

    File URL: http://www.sciencedirect.com/science/article/pii/S0360544219304220
    Download Restriction: Full text for ScienceDirect subscribers only

    File URL: https://libkey.io/10.1016/j.energy.2019.03.018?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. Luo, Dongkun & Zhao, Xu, 2012. "Modeling the operating costs for petroleum exploration and development projects," Energy, Elsevier, vol. 40(1), pages 189-195.
    2. 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. Liu, Yongge & Liu, Xiaoyu & Hou, Jian & Li, Huazhou Andy & Liu, Yueliang & Chen, Zhangxin, 2019. "Technical and economic feasibility of a novel heavy oil recovery method: Geothermal energy assisted heavy oil recovery," Energy, Elsevier, vol. 181(C), pages 853-867.
    2. 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).
    3. Wang, Fuwei & Chen, Dongxia & Li, Meijun & Chen, Zhangxin & Wang, Qiaochu & Jiang, Mengya & Rong, Lanxi & Wang, Yuqi & Li, Sha & Iltaf, Khawaja Hasnain & Wanma, Renzeng & Liu, Chen, 2024. "A novel method for predicting shallow hydrocarbon accumulation based on source-fault-sand (S-F-Sd) evaluation and ensemble neural network (ENN)," Applied Energy, Elsevier, vol. 359(C).
    4. Li, Jing & Wu, Keliu & Chen, Zhangxin & Wang, Wenyang & Yang, Bin & Wang, Kun & Luo, Jia & Yu, Renjie, 2019. "Effects of energetic heterogeneity on gas adsorption and gas storage in geologic shale systems," Applied Energy, Elsevier, vol. 251(C), pages 1-1.
    5. 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).
    6. Erdong Yao & Hang Xu & Yuan Li & Xuesong Ren & Hao Bai & Fujian Zhou, 2021. "Reusing Flowback and Produced Water with Different Salinity to Prepare Guar Fracturing Fluid," Energies, MDPI, vol. 15(1), pages 1-18, December.

    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 & 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).
    2. 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.
    3. 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).
    4. 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.
    5. 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.
    6. 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).
    7. Dai, Xuguang & Wei, Chongtao & Wang, Meng & Ma, Ruying & Song, Yu & Zhang, Junjian & Wang, Xiaoqi & Shi, Xuan & Vandeginste, Veerle, 2023. "Interaction mechanism of supercritical CO2 with shales and a new quantitative storage capacity evaluation method," Energy, Elsevier, vol. 264(C).
    8. Wang, Sha & Jiang, Xiumin & Han, Xiangxin & Tong, Jianhui, 2012. "Investigation of Chinese oil shale resources comprehensive utilization performance," Energy, Elsevier, vol. 42(1), pages 224-232.
    9. Bryan X. Medina-Rodriguez & Vladimir Alvarado, 2021. "Use of Gas Adsorption and Inversion Methods for Shale Pore Structure Characterization," Energies, MDPI, vol. 14(10), pages 1-24, May.
    10. Qin, Chao & Jiang, Yongdong & Luo, Yahuang & Zhou, Junping & Liu, Hao & Song, Xiao & Li, Dong & Zhou, Feng & Xie, Yingliang, 2020. "Effect of supercritical CO2 saturation pressures and temperatures on the methane adsorption behaviours of Longmaxi shale," Energy, Elsevier, vol. 206(C).
    11. Lu, Yiyu & Xu, Zijie & Li, Honglian & Tang, Jiren & Chen, Xiayu, 2021. "The influences of super-critical CO2 saturation on tensile characteristics and failure modes of shales," Energy, Elsevier, vol. 221(C).
    12. Chunhui Cao & Liwu Li & Yuhu Liu & Li Du & Zhongping Li & Jian He, 2020. "Factors Affecting Shale Gas Chemistry and Stable Isotope and Noble Gas Isotope Composition and Distribution: A Case Study of Lower Silurian Longmaxi Shale Gas, Sichuan Basin," Energies, MDPI, vol. 13(22), pages 1-15, November.
    13. Li, Daolun & Zhou, Xia & Xu, Yanmei & Wan, Yujin & Zha, Wenshu, 2023. "Deep learning-based analysis of the main controlling factors of different gas-fields recovery rate," Energy, Elsevier, vol. 285(C).
    14. Wu, Jianguo & Luo, Chao & Zhong, Kesu & Li, Yi & Li, Guoliang & Du, Zhongming & Yang, Jijin, 2023. "Innovative characterization of organic nanopores in marine shale by the integration of HIM and SEM," Energy, Elsevier, vol. 282(C).
    15. Lenhard, L.G. & Andersen, S.M. & Coimbra-Araújo, C.H., 2018. "Energy-Environmental Implications Of Shale Gas Exploration In Paraná Hydrological Basin, Brazil," Renewable and Sustainable Energy Reviews, Elsevier, vol. 90(C), pages 56-69.
    16. Jia-Yue Huang & Yun-Fei Cao & Hui-Ling Zhou & Hong Cao & Bao-Jun Tang & Nan Wang, 2018. "Optimal Investment Timing and Scale Choice of Overseas Oil Projects: A Real Option Approach," Energies, MDPI, vol. 11(11), pages 1-22, October.
    17. Yunna, Wu & Kaifeng, Chen & Yisheng, Yang & Tiantian, Feng, 2015. "A system dynamics analysis of technology, cost and policy that affect the market competition of shale gas in China," Renewable and Sustainable Energy Reviews, Elsevier, vol. 45(C), pages 235-243.
    18. Wang, Qiang & Zhan, Lina, 2019. "Assessing the sustainability of the shale gas industry by combining DPSIRM model and RAGA-PP techniques: An empirical analysis of Sichuan and Chongqing, China," Energy, Elsevier, vol. 176(C), pages 353-364.
    19. 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).
    20. Silva, L.M.R. & Guedes Soares, C., 2023. "Robust optimization model of an offshore oil production system for cost and pipeline risk of failure," Reliability Engineering and System Safety, Elsevier, vol. 232(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:174:y:2019:i:c:p:861-872. 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.