The Application of Induction Logging Adaptive Deconvolution Processing in Water Flooded Recognition
The adaptive deconvolution processing is a kind of processing method for different background conditions. The reservoir of FuYang group in Yushulin oil field has the typical uneven feature with low porosity and low permeability. After the oil reservoir flooded by ejecting water, the zones without water and the zones with water interlaced with each other, that makes the induction logging curves with lower longitudinal resolution hardly reflect actual water-flooding condition. This paper takes adaptive deconvolution processing method selecting background conductivities according to the measurement points’ conductivities, which improve the resolution of induction logging data significantly. The processing value of resistivity is similar with the true formation resistivity.This method is better on identifying the water flooded condition of the oil reservoir.