Numerical Simulation of Array Induction Logs Time-Lapse Responses and Formation Resistivity Profile Reconstruction with 5-Parameter Inversion

Abstract:

In order to improve reservoir fluid recognition, sensitivities of array induction response to different invasion properties in both oil-bearing layer and water layer are analyzed. A numerical algorithm is adopted to simulate time-lapse response of array induction logs during mud invasion and signal processing of the array induction log is developed. Features of array induction responses during mud invasion were researched. A “five-parameter model” (r1, r2, Rxo, R_1/2, R_t) which can match a variety of invasion conditions is approached and carried out suing a fast invasion method. Therefore, the identification of fluid type can be realized effectively by inversion of array induction log combined with time-lapse responses of array induction log. It is demonstrated that the inverted resistivity presents a typical non-monotonic variation in oil-bearing layer and a monotonic variation in water layer, which agrees well with the actual invasion property. It provides quantitative information for the discrimination of oil/gas or water zone.

• Periodical: Advanced Materials Research (Volumes 588-589)
• Pages: 1359-1363
• DOI: https://doi.org/10.4028/www.scientific.net/AMR.588-589.1359
• Online since: November 2012
• Authors: Yi Ren Fan, Hu Li, Yun Yun Hu, Qing Tao Sun
• Keywords: Array Induction Log, Fluid Recognition, Multi-Parameter Inversion, Time-Lapse Response

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