Acoustic logging is one of the most effective methods for fractured reservoirs exploration. To understand the measurement characteristics of fractured reservoirs is the key procedure to evaluate the reservoir using acoustic logging data. By combing the Hudson equivalent theory and the Schoenberg’s theory, a novel acoustic equivalent medium theory of fracture reservoir was constructed. Bond transformation is introduced to model fractures with arbitrary azimuth and polarizing angle. The response of fractured reservoir measured by acoustic logging tool is simulated using a finite difference code. The influences and acoustic responses from crack density, width, angle and filling material on compressional and shear wave slowness of acoustic waves are analyzed and summarized. The analysis results can provide a theoretical foundation for evaluations of fractured formations with acoustic logging data.
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In this paper, we propose a method for obtaining two-dimensional T1–T2 spectrum from simultaneous inversion of the MRIL-Prime tool, dual-TW logging data, in order to improve the accuracy in identifying gas-bearing reservoirs. This paper was accomplished by analyzing the theoretical feasibility of the method, verifying its efectiveness by numerical simulation, and then applying the method to actual logging interpretations to identify gas-bearing reservoirs. The practical application results show that this method can circumvent misidentifcation of reservoirs due to the presence of large pores—a known issue with using a one-dimensional diferential spectrum—and efectively identify gas-bearing reservoirs with low resistivity.
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