Modeling and inversions of acoustic reflection logging imaging using the combined monopole–dipole measurement mode
Gong Hao1,2,3,4, Chen Hao2,3, He Xiao2, Su Chang2, Wang Xiu-Ming2,3, Wang Bai-Cun1,4, and Yan Xiao-Hui4
1. Tsinghua University, Beijing 100084, China.
2. State Key Laboratory of Acoustics, Beijing Engineering Research Center of Deep Drilling Exploration and Measurement, Institute of Acoustics, Beijing 100190, China.
3. University of Chinese Academy of Sciences, Beijing 100049, China.
4. Chinese Academy of Engineering, Beijing 100088, China.
Abstract In this paper, we theoretically and numerically study a combined monopole–dipole measurement mode to show its capability to overcome the issues encountered in conventional single-well imaging, i.e., the low signal-to-noise ratio of the reflections and azimuth ambiguity. First, the azimuth ambiguity, which exists extensively in conventional single-well imaging, is solved with an improved imaging procedure using combined monopole–dipole logging data in addition to conventional logging data. Furthermore, we demonstrate that the direct waves propagating along the boreholes with strong energy, can be effectively eliminated with the proposed combined monopole–dipole measurement mode. The reflections are therefore predominant in the combined monopole–dipole data even before the signals are filtered; thus, the reflections’ arrival times in each receiver are identified, which may help minimize the difficulties in filtering conventional logging data. The optimized processing flow of the combined measurement mode logging image is given in this paper. The proposed combined monopole–dipole measurement mode may improve the accuracy of single-well imaging.
The work was supported by the National Natural Science Foundation of China (Nos. 11574347, 11374322, 11134011, 11734017, and 91630309) and PetroChina Innovation Foundation (No. 2016D-5007-0304).
Cite this article:
. Modeling and inversions of acoustic reflection logging imaging using the combined monopole–dipole measurement mode[J]. APPLIED GEOPHYSICS, 2018, 15(3-4): 393-400.
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2018, Vol. 15 
