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 effectiveness 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 misidentification of reservoirs due to the presence of large pores a known issue with using a one-dimensional differential spectrum and effectively identify gas-bearing reservoirs with low resistivity.
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