Open Access
E3S Web Conf.
Volume 329, 2021
4th International Conference on Green Energy and Sustainable Development (GESD 2021)
Article Number 01032
Number of page(s) 4
Published online 09 December 2021
  1. Wei Feng, Xue Guoqing, Xiong Cong, et al. Classification and comprehensive evaluation of facies-controlled reservoirs in sparse well areas combined with well-seismic: Taking the Zhujiang Formation of the WC-A Oilfield in the Pearl River Mouth Basin as an example[J]. Journal of Oil and Gas Technology, 2020, 42(2): 17-26. [Google Scholar]
  2. Wei Feng, Xue Guoqing, Xiong Cong, et al. Classification and comprehensive evaluation of facies-controlled reservoirs in sparse well areas combined with well-seismic——Taking Zhujiang Formation of WC-A Oilfield in Pearl River Mouth Basin as an example[J]. Journal of Oil and Gas Technology,2020,42(02):17-26. [Google Scholar]
  3. Ma Yuliang, Zheng Huan, Xie Ruijie, et al. Several main problems and processing methods of well seismic data in reservoir prediction[J]. Science Technology and Engineering, 2019, 19(33): 132-138. [Google Scholar]
  4. Li Suhua, Hu Hao, Zhu Lan, et al. Identification and prediction of bioclastic shoal karst reservoirs in the Maokou Formation in Yuanba area, northern Sichuan[J]. Geophysical Prospecting for Petroleum, 2021, 60(4): 584-594. [Google Scholar]
  5. Li Jianxiong, Gu Yuemin, Dang Huqiang, et al. A method for combined well-seismic reservoir prediction in high-density well pattern development areas: Taking the JN2 block of the SL basin as an example[J]. Petroleum Geophysical Prospecting, 2011, 46(3):457-462. [Google Scholar]
  6. Zhao Weiping. Application of combined wellseismic attribute analysis technology in deep-water turbidite reservoir prediction[J]. Journal of Engineering Geophysics, 2016, 13(2):213-220. [Google Scholar]
  7. Guo Jigang, Nie Zhikun, Mao Chuanlong, et al. Application of multi-attribute fusion method in twodimensional seismic coal seam prediction: Taking the two-dimensional work area of Dacheng Uplift as an example[J]. Computing Techniques for Geophysical and Geochemical Exploration, 2020, 42(6):732-742. [Google Scholar]
  8. Yang Feng, Nie Hui, Chen Hongtao, et al. Carbonate prestack reservoir prediction based on broadband seismic data: Taking Block B in the eastern margin of the Caspian Basin as an example[J]. Geophysical Prospecting for Petroleum, 2019, 58(4):555-562. [Google Scholar]
  9. Zhu Jianbing, Wang Xingmou, Feng Deyong, et al. The method and application of fluvial reservoir prediction based on bidirectional cyclic neural network[J]. Geophysical Prospecting for Petroleum, 2020, 59(2): 250-257. [Google Scholar]
  10. Ma Manhong. Research on the salvage technology of falling objects in oilfield wells[J]. Chemical Management, 2013(10): 114-114. [Google Scholar]
  11. Fan Longwen. Discussion on the technology of salvaging complex falling objects underground[J]. Henan Science and Technology. 2013(5) [Google Scholar]
  12. Wu Qi. Handbook for Downhole Operations Engineers Beijing: Petroleum Industry Press. 2002:215-253 [Google Scholar]
  13. Ren Fade. Discussion on the method of salvaging falling objects in oilfield downhole operations [J]. Petrochemical Technology. 2016, 23 (8): 260 [Google Scholar]
  14. He Wang, Xie Liyun, Wei Ziyu. Evaluation of engineering geological suitability of long-distance natural gas pipeline project crossing area—— Comment on “Oil and Gas Pipeline Integrity Evaluation Technology” [J]. Xinjiang Geology, 2019, 37(4): Post 4. [Google Scholar]
  15. Wang Qingguo, Guo Min. Research on the influencing factors of gas pipeline integrity based on ISM and AHP[J]. Gas and Heat, 2019, 39(4): Post- insertion 1- Post-insertion 4. [Google Scholar]
  16. Ma Bin, Jiang Feng, Ma Xuqing. Integrity evaluation technology of defective pipelines[J]. Gas and Heat, 2019, 39(5): 32-39. [Google Scholar]
  17. Cui Ruixue, Wang Lin, Zhao Deyin, et al. Research on technology development of pipeline integrity management platform[J]. Contemporary Research in Chemical Industry, 2020(11): 108-110. [Google Scholar]
  18. Jin Jian, Zhu Xueshan, Liu Yanyang, et al. Research on big data integration technology methods for oil and gas long-distance pipelines[J]. Oil and Gas Field Surface Engineering, 2020, 39(2): 77-81. [Google Scholar]
  19. Jiang Zhongan, Zheng Dengfeng, Zeng Fabian, et al. Research on the safety management model of oil and gas pipelines based on hazard theory [J]. Journal of Hunan University (Natural Science Edition), 2021, 48(4): 56-65. [Google Scholar]
  20. Jia Shuai. The application of intelligent information technology in the integrity construction of the Beijing-Tianjin Second Oil Pipeline[J]. Oil and Gas Field Surface Engineering, 2021, 40(2): 97-102. [Google Scholar]
  21. Hou Lina, Li Yuanpeng, Yan Wei, et al. Construction and fusion method of oil and gas fieldpipeline and station integrity management system[J]. Oil and Gas Field Surface Engineering, 2021, 40(3): 63-69. [Google Scholar]

Current usage metrics show cumulative count of Article Views (full-text article views including HTML views, PDF and ePub downloads, according to the available data) and Abstracts Views on Vision4Press platform.

Data correspond to usage on the plateform after 2015. The current usage metrics is available 48-96 hours after online publication and is updated daily on week days.

Initial download of the metrics may take a while.