Study of time-varying reservoir permeability based on time-lapse seismic data

In the high-water-cut development stage, the prediction of reservoir permeability parameters is the key to tapping the potential of remaining oil. The conventional permeability data is obtained by logging interpretation. However, due to the influence of reservoir development and water injection, the logging data of production wells in the late development period cannot truly reflect the permeability of reservoirs in their original state. With the time-lapse seismic data of different water cut stages, seismic attributes are extracted and screened. As a result, five time-lapse seismic attributes are selected for the establishment of a data set, i.e., root-mean-square amplitude, reflection intensity, instantaneous frequency, amplitude envelope and dominant frequency. The relationship between time-lapse seismic data and logging permeability data is built by a partial least squares regression model, and then the permeability of production wells in low-, high- and ultra-high-water-cut development stages is further predicted, which yields a three-stage permeability model for the whole area. The distribution of permeability change multiples is verified by tracer data. The results show that the permeability change trend in the well group is consistent with tracer data. The established reservoir permeability prediction method can objectively reflect the permeability changes caused by water injection. The new method provides a basis for reservoir parameter prediction in different development stages. © 2022, Editorial Department OIL GEOPHYSICAL PROSPECTING. All right reserved.