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Improved methods for determining effective sandstone reservoirs and evaluating hydrocarbon enrichment in petroliferous basins

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  • Wang, Wenyang
  • Pang, Xiongqi
  • Chen, Zhangxin
  • Chen, Dongxia
  • Ma, Xinhua
  • Zhu, Weiping
  • Zheng, Tianyu
  • Wu, Keliu
  • Zhang, Kun
  • Ma, Kuiyou

Abstract

Geological uncertainty is the greatest risk in oil exploration. Most of the evaluation and risk assessment of exploration projects are characterized by the hydrocarbon enrichment evaluation of the target reservoir to avoid non-effective reservoirs. Based on experiments and detailed analysis of the hydrocarbon accumulation process, we propose a new criterion, namely reservoir hydrocarbon enrichment potential index, expressed as PI, for improved evaluation and assessment. According to the index PI, sandstone reservoirs are classified into four categories: Level IV, PI ≤ 0; Level III, 0 < PI ≤ 0.01; Level II, 0.01 < PI ≤ 0.1; Level I, 0.1 < PI ≤ 1. Level IV reservoirs are non-effective, whereas Level III, Level II, and Level I reservoirs are effective and their hydrocarbon enrichment potentials increase progressively. The recommended strategy is to prioritize the exploration of sandstone reservoirs in the order of Level I > Level II > Level III and avoid Level IV reservoirs. This strategy was applied to the Mesozoic sandstone in western Sichuan Depression, China, to demonstrate the method and workflow. Drilling success rate is positively correlated with the PI of the sandstone reservoir. The results of 153 wells drilled in western Sichuan Depression show the accuracy of the method to be 84.5%. Therefore, this method is useful for quick and effective scientific decisions on oil exploration projects, thus mitigating the risks in oil exploration projects.

Suggested Citation

  • 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).
  • Handle: RePEc:eee:appene:v:261:y:2020:i:c:s0306261919321452
    DOI: 10.1016/j.apenergy.2019.114457
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    as
    1. Kiriyama, Eriko & Kajikawa, Yuya, 2014. "A multilayered analysis of energy security research and the energy supply process," Applied Energy, Elsevier, vol. 123(C), pages 415-423.
    2. Tan, Siah Hong & Barton, Paul I., 2017. "Optimal shale oil and gas investments in the United States," Energy, Elsevier, vol. 141(C), pages 398-422.
    3. Rui, Zhenhua & Wang, Xiaoqing & Zhang, Zhien & Lu, Jun & Chen, Gang & Zhou, Xiyu & Patil, Shirish, 2018. "A realistic and integrated model for evaluating oil sands development with Steam Assisted Gravity Drainage technology in Canada," Applied Energy, Elsevier, vol. 213(C), pages 76-91.
    4. Egging, Ruud & Holz, Franziska, 2016. "Risks in global natural gas markets: Investment, hedging and trade," Energy Policy, Elsevier, vol. 94(C), pages 468-479.
    5. Zhongmin Wang and Alan Krupnick, 2015. "A Retrospective Review of Shale Gas Development in the United States: What Led to the Boom?," Economics of Energy & Environmental Policy, International Association for Energy Economics, vol. 0(Number 1).
    6. Athens, Noah D. & Caers, Jef K., 2019. "A Monte Carlo-based framework for assessing the value of information and development risk in geothermal exploration," Applied Energy, Elsevier, vol. 256(C).
    7. Montgomery, J.B. & O’Sullivan, F.M., 2017. "Spatial variability of tight oil well productivity and the impact of technology," Applied Energy, Elsevier, vol. 195(C), pages 344-355.
    8. 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.
    9. Crow, Daniel J.G. & Giarola, Sara & Hawkes, Adam D., 2018. "A dynamic model of global natural gas supply," Applied Energy, Elsevier, vol. 218(C), pages 452-469.
    10. 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).
    11. Aguilera, Roberto F. & Ripple, Ronald D., 2012. "Technological progress and the availability of European oil and gas resources," Applied Energy, Elsevier, vol. 96(C), pages 387-392.
    12. Khalil, Munawar & Jan, Badrul Mohamed & Tong, Chong Wen & Berawi, Mohammed Ali, 2017. "Advanced nanomaterials in oil and gas industry: Design, application and challenges," Applied Energy, Elsevier, vol. 191(C), pages 287-310.
    13. repec:aen:journl:eeep4_1_krupnick is not listed on IDEAS
    14. Leung, Guy C.K. & Cherp, Aleh & Jewell, Jessica & Wei, Yi-Ming, 2014. "Securitization of energy supply chains in China," Applied Energy, Elsevier, vol. 123(C), pages 316-326.
    15. Ampomah, W. & Balch, R.S. & Cather, M. & Will, R. & Gunda, D. & Dai, Z. & Soltanian, M.R., 2017. "Optimum design of CO2 storage and oil recovery under geological uncertainty," Applied Energy, Elsevier, vol. 195(C), pages 80-92.
    16. Dong, Xiaohu & Liu, Huiqing & Chen, Zhangxin & Wu, Keliu & Lu, Ning & Zhang, Qichen, 2019. "Enhanced oil recovery techniques for heavy oil and oilsands reservoirs after steam injection," Applied Energy, Elsevier, vol. 239(C), pages 1190-1211.
    17. Zhao, Chunfu & Chen, Bin, 2014. "China’s oil security from the supply chain perspective: A review," Applied Energy, Elsevier, vol. 136(C), pages 269-279.
    18. Hammond, Geoffrey P. & O’Grady, Áine, 2017. "Indicative energy technology assessment of UK shale gas extraction," Applied Energy, Elsevier, vol. 185(P2), pages 1907-1918.
    19. Luo, Dongkun & Zhao, Xu, 2012. "Modeling the operating costs for petroleum exploration and development projects," Energy, Elsevier, vol. 40(1), pages 189-195.
    20. Yuan, Jiehui & Luo, Dongkun & Feng, Lianyong, 2015. "A review of the technical and economic evaluation techniques for shale gas development," Applied Energy, Elsevier, vol. 148(C), pages 49-65.
    Full references (including those not matched with items on IDEAS)

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