Abstract

Acoustic single-well imaging (SWI) of logging-while-drilling (LWD) is an advanced logging method in reservoir exploration, which uses reflected waves to detect the around-borehole geologic structures and quickly determines the drilling direction for enhancing the drilling-encounter ratio and reducing the drilling risk. Forward acoustic modeling is a fundamental problem for SWI in LWD. Due to the complex structures, it is a challenge to simulate the wave propagation and investigate wavefield characteristics based on the forward model. Numerical modeling is a commonly used method for calculating wavefields; however, it is too computationally expensive. In this study, we develop a fast method for calculating the full reflected pressure and displacement waves (i.e., P-P, SV-SV, SH-SH, and P-SV/SV-P) in SWI of LWD considering different types of sources such as arcuate, monopole, and dipole transmitters. The analytical algorithm is developed by applying the reciprocity relation between the virtual force (displacement) sources located at the receiver position and the outside-borehole virtual forces that are equivalent to the reflections from the formation interfaces. Numerical experiments indicate that the analytical solutions agree well with the reference solutions from the 3D finite-difference time-domain method, demonstrating the accuracy and high efficiency of the analytical method. Based on the analytical solutions, we find that LWD reflected waves are much more sensitive to the azimuth than those in the wireline case, indicating that the availability of LWD is important for identifying the reflector azimuth. Furthermore, to enhance the reception efficiency of reflected waves, the LWD parameters are optimized. For slow formations, we suggest using a dipole source with dominant excitation-frequency band being from 1 kHz to 3 kHz. For fast formations, a dipole with wider excitation-frequency band from 1 kHz to 5 kHz is recommended. For all formations, recording pressure signals indicates much higher reception efficiency than the displacement signals.

Full Text
Published version (Free)

Talk to us

Join us for a 30 min session where you can share your feedback and ask us any queries you have

Schedule a call