Published October 2015 | Version v1
Journal article

Cation exchange capacity (Qv) estimation in shaly sand reservoirs: case studies in the Junggar Basin, northwest China

  • 1. State Key Laboratory of Oil and Gas Reservoir Geology and Exploitation, Southwest Petroleum University, Chengdu 610500 (China)
  • 2. State Key Laboratory of Petroleum Resources and Prospecting, China University of Petroleum, Beijing 102249 (China)
  • 3. Research Institute of Exploration and Development, Xinjiang Oilfield Company, CNPC, Karamay 834000 (China)

Description

Cation exchange capacity (Qv) is a key parameter in resistivity-based water saturation models of shaly sand reservoirs, and the accuracy of Qv calculation is crucial to the prediction of saturations of oil and gas. In this study, a theoretical expression of Qv in terms of shaly sand permeability (Kshaly-sand), total porosity (ϕt), and salinity of formation water (S) is deduced based on the capillary tube model and the physics volume model. Meanwhile, the classical Schlumberger–Doll research (SDR) model has been introduced to estimate Kshaly-sand. On this basis, a novel technique to estimate Qv from nuclear magnetic resonance (NMR) logs is proposed, and the corresponding model is also established, whose model parameters are calibrated by laboratory Qv and NMR measurements of 15 core samples from the Toutunhe formation of the Junggar Basin, northwest China. Based on the experimental data sets, this technique can be extended to reservoir conditions to estimate continuous Qv along the intervals. The processing results of field examples illustrate that the Qv calculated from field NMR logs are consistent with the analyzed results, with the absolute errors within the scope of  ±0.1 mmol cm−3 for the majority of core samples. (paper)

Availability note (English)

Available from http://dx.doi.org/10.1088/1742-2132/12/5/745

Additional details

Identifiers

Publishing Information

Journal Title
Journal of Geophysics and Engineering (Online)
Journal Volume
12
Journal Issue
5
Journal Page Range
p. 745-752
ISSN
1742-2140