火山岩岩性测井识别方法研究——以准噶尔盆地火山岩为例

doi:10.3969/j.issn.1673-8926.2015.01.016

Lithologic Reservoirs ›› 2015, Vol. 27 ›› Issue (1): 108-114.doi: 10.3969/j.issn.1673-8926.2015.01.016

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Logging identification method of volcanic rock lithology: A case study from volcanic rock in Junggar Basin

ZHANG Daquan^1，2，3， ZOU Niuniu^1，2，3， JIANG Yang⁴， MA Chongyao⁵，ZHANG Shuncun ^1，2， DU Shekuan^1，2

1. Key Laboratory of Petroleum Resources ， Gansu Province ， Lanzhou 730000 ， China ； 2. Key Laboratory of Petroleum Resources Research ， Institute of Geology and Geophysics ， Chinese Academy of Sciences ， Lanzhou 730000 ， China ；3. University of Chinese Academy of Science ， Beijing 100049 ， China ； 4. Downhole Operation Branch of Western Drilling Engineering Co. Ltd. ， PetroChina ， Karamay 834000 ， Xinjiang ， China ； 5. Research Institute of Exploration and Development ， PetroChina Xinjiang Oilfield Company ， Karamay 834000 ， Xinjiang ， China

Online:2015-02-03 Published:2015-02-03

Abstract

Abstract:

Reservoir lithology identification is the foundation of volcanic reservoir exploration. Based on core observation,combined with detailed analysis of thin sections and logging data, this paper summarized the logging response characteristics of volcanic rocks, proposed logging identification method of volcanic lithology. Conventional logging data were used to identify the mineral composition of volcanic rock, and imaging logging data were applied to distinguish the structure and texture of volcanic rocks, of which the natural gamma raylogging （ GR ） , density logging （ DEN ） and acoustic time logging （ AC ） are the more advantageous three logging curves to identify the lithology of volcanic rocks. The crossplot of GR-R t /AC can be used to effectively identify volcanic rocks and sedimentary rocks,and then the crossplots of GR-DEN and GR-AC can be applied to identify the volcanic rock types. Finlly,combined withFMI,thestructureandtexturecharacteristicsofvolcanicrockscanbefurtherdistinguished.

Key words: tuff, tight reservoir, logging evaluation, Tiaohu Formation, Santanghu Basin

ZHANG Daquan,ZOU Niuniu,JIANG Yang,MA Chongyao,ZHANG Shuncun,DU Shekuan. Logging identification method of volcanic rock lithology: A case study from volcanic rock in Junggar Basin[J].Lithologic Reservoirs, 2015, 27(1): 108-114.

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