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Energies 2018, 11(10), 2705; https://doi.org/10.3390/en11102705

Characterization and Consecutive Prediction of Pore Structures in Tight Oil Reservoirs

1
College of Geosciences, China University of Petroleum, Beijing 102249, China
2
Institute of Geophysics and Geomatics, China University of Geosciences, Wuhan 430074, China
3
Research Institute of Exploration and Development, Xinjiang Oilfield Company, PetroChina, Karamay 834000, China
4
Petroleum Engineering Department, University of North Dakota, Grand Forks, ND 58202, USA
5
Wuhan Geomatic Institute, Wuhan 430022, China
*
Author to whom correspondence should be addressed.
Received: 28 September 2018 / Revised: 8 October 2018 / Accepted: 9 October 2018 / Published: 11 October 2018
(This article belongs to the Special Issue Flow and Transport Properties of Unconventional Reservoirs 2018)
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Abstract

The Lucaogou Formation in Jimuaser Sag of Junggar Basin, China is a typical tight oil reservoir with upper and lower sweet spots. However, the pore structure of this formation has not been studied thoroughly due to limited core analysis data. In this paper, the pore structures of the Lucaogou Formation were characterized, and a new method applicable to oil-wet rocks was verified and used to consecutively predict pore structures by nuclear magnetic resonance (NMR) logs. To do so, a set of experiments including X-ray diffraction (XRD), mercury intrusion capillary pressure (MICP), scanning electron microscopy (SEM) and NMR measurements were conducted. First, SEM images showed that pore types are mainly intragranular dissolution, intergranular dissolution, micro fractures and clay pores. Then, capillary pressure curves were divided into three types (I, II and III). The pores associated with type I and III are mainly dissolution and clay pores, respectively. Next, the new method was verified by “as received” and water-saturated condition T2 distributions of two samples. Finally, consecutive prediction in fourteen wells demonstrated that the pores of this formation are dominated by nano-scale pores and the pore structure of the lower sweet spot reservoir is more complicated than that in upper sweet spot reservoir. View Full-Text
Keywords: Lucaogou Formation; tight oil; pore structure; prediction by NMR logs Lucaogou Formation; tight oil; pore structure; prediction by NMR logs
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Xu, Z.; Zhao, P.; Wang, Z.; Ostadhassan, M.; Pan, Z. Characterization and Consecutive Prediction of Pore Structures in Tight Oil Reservoirs. Energies 2018, 11, 2705.

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