Research on fractures identification method of metamorphic rock based on conventional logging

LIAO Haibo; LIU Hongqi; CUI Yunjiang; WANG Ruihong; LI Zhilin; CHEN Dong; LIU Wei

doi:10.16562/j.cnki.0256-1492.2023021601

2023 Vol. 43, No. 4

Article Contents

Article navigation > Marine Geology & Quaternary Geology > 2023 > 43(4): 189-198

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LIAO Haibo, LIU Hongqi, CUI Yunjiang, WANG Ruihong, LI Zhilin, CHEN Dong, LIU Wei. Research on fractures identification method of metamorphic rock based on conventional logging[J]. Marine Geology & Quaternary Geology, 2023, 43(4): 189-198. doi: 10.16562/j.cnki.0256-1492.2023021601

Citation:

LIAO Haibo, LIU Hongqi, CUI Yunjiang, WANG Ruihong, LI Zhilin, CHEN Dong, LIU Wei. Research on fractures identification method of metamorphic rock based on conventional logging[J]. Marine Geology & Quaternary Geology, 2023, 43(4): 189-198. doi: 10.16562/j.cnki.0256-1492.2023021601

Research on fractures identification method of metamorphic rock based on conventional logging

1.
College of Earth Science and Technology, Southwest Petroleum University, Chengdu 610500, China
2.
Tianjin Branch, China National Offshore Oil Corporation, Tianjin 300459, China
3.
Drilling and Production Engineering Technology Research Institute of Chuanqing Drilling Engineering Co., Ltd., Guanghan 618300, China

Received Date: 16 February 2023

Revised Date: 02 April 2023

Publish Date: 28 August 2023

Abstract

Abstract

The structure of the reservoir in the BZ19-6 gas field metamorphic rock sub-salt dome is complex and diverse, with developed and heterogeneous fractures. Identifying effective fractures in reservoir evaluation is an urgent problem, which is important for the exploration and development of the gas field. The study mainly focuses on the granite gneiss and Archean intrusions with a small amount of intrusive rock as the research layer. The degree of fracture development of the research layer is identified by analyzing the R/S (rescaled range) of conventional logging curves. The development position of fractures is predicted by calculating the second-order difference of Lg(R/S). Furthermore, the R/S analysis results are compared with the statistical observation of thin-section fractures and the interpretation results of electric imaging to establish a classification standard for the degree of fracture development in granite gneiss reservoirs using the Hurst index. The study shows that: 1) The improved method of combining R/S analysis and Newton's difference method is feasible for fracture evaluation in metamorphic rock reservoirs and can identify fractures with a width greater than 0.005 mm. 2) The second-order difference value of Lg(R/S) curve can accurately identify the development position of natural fractures, and K-Rxo is positively correlated with fracture line density, with high correlation. 3) Rock anisotropy and fracture filling have an impact on the accuracy of fracture identification using the conventional logging curve R/S analysis method.
- metamorphic rock buried hill /
- logging while drilling /
- rescaled range analysis /
- fracture identification /
- conventional logging

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References

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