30 May 2022 to 2 June 2022
Asia/Dubai timezone

Study on quantitative identification method for lithology of pyroclastic rock

31 May 2022, 09:20
1h 10m
Poster Presentation (MS12) Advances in modeling and simulation of poromechanics Poster

Speaker

Dr Gang Hu (State Key Laboratory of Petroleum Resources and Prospecting, China University of Petroleum, Beijing)

Description

Pyroclastic rock is a transitional rock between magmatic lava and sedimentary rock. The content and particle size of pyroclastic are difficult to determine, thus, the identification of lithology is difficult. The traditional lithology identification methods including various kinds of cross-plot, cluster analysis and other methods, lack of geological concept and physical dependence. What’s more, various mathematical methods are difficult to be quickly applied to the practical production. In this paper, based on the magmatic debris content of core sheet analysis and combining with RoqSCAN element content experiment, conventional and element logging data, the quantitative calculation model of magmatic debris content was constructed to solve the problem of quantitative evaluation of pyroclastic content. Based on the experimental data of core particle size, and the analysis of lithologic M-N crossplot (definition in well logging discipline) of different particle sizes, a quantitative calculation model of median grain diameter is established. Quantitative identification of lithology was realized by quantitative evaluation of pyroclastic content and particle size. This method is applied to reservoir lithology identification in Wuerxun Sag, Hailar Basin, China. Through the statistics of lithology identification results of 40 wells, the accuracy of lithology identification is 86%.

Participation Online
Country China
MDPI Energies Student Poster Award Yes, I would like to submit this presentation into the student poster award.
Time Block Preference Time Block A (09:00-12:00 CET)
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Primary author

Dr Gang Hu (State Key Laboratory of Petroleum Resources and Prospecting, China University of Petroleum, Beijing)

Co-authors

Dr Zhiqiang Mao (State Key Laboratory of Petroleum Resources and Prospecting, China University of Petroleum, Beijing) Dr Peiqiang Zhao (China University of Petroleum, Beijing)

Presentation materials