Application of Well Logging Data in Fault Identification

Ruiwen Dai ； Xuewei Li

《International Core Journal of Engineering》 7卷9期 (2021/09) Pp. 517-525

https://doi.org/10.6919/ICJE.202109_7(9).0072

摘要

In this paper, the methods of fault identification based on logging data are summarized based on the previous research results. The dip Angle vector data combined with lithostratigraphic correlation is the main method of logging fault interpretation. Different faults have different variation rules reflected in the dip Angle vector map. FMI imaging logs can roughly determine the presence of faults by using repeated stratigraphic features combined with core and seismic tectonic interpretation. When it is difficult to determine the location of a fault by a certain logging curve, the combination characteristics of different logging curves can be established to find the common law from the combination of RN and GR curves, and then the fault can be identified. The fault can be identified by the electrical imaging data through the judgment and analysis of the phenomenon of the associated structure of the fault. Comprehensive use of electrical imaging and dip log data to identify faults. The position of faulted structures and faults can be determined by using the standard layer acoustic time difference anomaly method. For the variation of geophysical characteristics (such as acoustic time difference) of the standard layer in the study area, the fault can be identified.

關鍵字

Logging Method ； Fault Identification ； Well Logging Curve ； Logging Data

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