Xinjiang Petroleum Geology ›› 2022, Vol. 43 ›› Issue (1): 92-101.doi: 10.7657/XJPG20220114

• APPLICATION OF TECHNOLOGY • Previous Articles     Next Articles

Parameters of Connected Conducting Model and Its Application in Dolomite Reservoir Evaluation

XIE Fang1(), CAI Deyang2, LIU Ruilin1, ZHANG Chengsen2, FENG Cheng3   

  1. 1. School of Geophysics and Petroleum Resources, Yangtze University, Wuhan, Hubei 430100, China
    2. Research Institute of Exploration and Development, Tarim Oilfield Company, PetroChina, Korla, Xinjiang 841000, China
    3. School of Petroleum, Karamay Campus, China University of Petroleum(Beijing), Karamay, Xinjiang 834000, China
  • Received:2021-04-05 Revised:2021-05-20 Online:2022-02-01 Published:2022-01-24

Abstract:

Based on reservoir physical properties and the data of rock electricity, CT scan, nuclear magnetic resonance and thin slices, a method for determining the parameters of a connected conducting model is proposed for studying dolomite reservoirs, including the critical water-filled porosity, critical water saturation and critical conductivity index. Then the calculated critical water saturation is compared with the T2 cut-off value, permeability, CT scan photos and thin slice analysis results, the critical conductivity index is compared with the cementation index, and the physical meanings of critical water saturation, critical water-filled porosity and critical conductivity index are discussed. The theoretical saturation curves from connected conduction is compared with the theoretical saturation curves from Archie’s formula, and the difference between them is discussed. Finally, according to the determined parameters of the connected conducting model, the water saturations of the dolomite reservoir in two wells are calculated using the connected conductance formula and the calculated results are consistent with formation test results.

Key words: dolomite reservoir, connected conducting model, Archie model, critical conductivity index, critical water-filled porosity, critical

CLC Number: