///Based on theoretical study and combined with analyzing LJ high density data from Shengli Oilfield these questions were touched with and discussed in this paper. The authors draw the following conclusions: 1) in terms of visual resolution, the weak signal is more easily identified when signal to noise ratio S/N>2; 2) for thin reservoir, S/N=2 is the lower limit for estimating its thickness; 3) background noise will significantly affect the weak signals in deep part and the death value of high-density data weak signal is just the amplitude of environmental noise; 4) a single weak signal shares less in the frequency spectrum; 5) high-density data has a wide frequency band of 5~210 Hz; and 6) horizontal co-phase weak signal mixed with noise (S/N>1) can still be effectively detected after processed with singular value decomposition(SVD). This gives us an enlightenment that, for high-density single-point data, there is still large potential of identifying more weak signals as long as we use a proper processing technique.