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Modeling and inversions of acoustic reflection logging imaging using the combined monopole–dipole measurement mode

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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.

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Acknowledgements

This work was carried out in part by using computing resources at the Supercomputing Center of Chinese Academy of Sciences.

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Correspondence to Hao Chen.

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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).

Gong Hao received his Ph.D. in Acoustics (2016) from the Chinese Academy of Sciences. His research interests are wave propagation modeling, borehole acoustics, and seismic imaging. Now he is working in China Petrochemical Corporation.

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Gong, H., Chen, H., He, X. et al. Modeling and inversions of acoustic reflection logging imaging using the combined monopole–dipole measurement mode. Appl. Geophys. 15, 393–400 (2018). https://doi.org/10.1007/s11770-018-0700-y

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  • DOI: https://doi.org/10.1007/s11770-018-0700-y

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