Application of Two-Dimensional NMR for Quantitative Analysis of Viscosity in Medium–High-Porosity-and-Permeability Sandstones in North China Oilfields

Wei Zhang, Si Li, Shaoqing Wang, Jianmeng Sun, Wenyuan Cai, Weigao Yu, Hongxia Dai and Wenkai Yang ()
Additional contact information
Wei Zhang: PetroChina Logging Co., Ltd., North China Branch, Renqiu 062550, China
Si Li: PetroChina Logging Co., Ltd., North China Branch, Renqiu 062550, China
Shaoqing Wang: PetroChina Logging Co., Ltd., North China Branch, Renqiu 062550, China
Jianmeng Sun: Logging Department, School of Geosciences and Technology, China University of Petroleum (East China), Qingdao 266580, China
Wenyuan Cai: PetroChina Logging Co., Ltd., North China Branch, Renqiu 062550, China
Weigao Yu: PetroChina Logging Co., Ltd., North China Branch, Renqiu 062550, China
Hongxia Dai: PetroChina Logging Co., Ltd., North China Branch, Renqiu 062550, China
Wenkai Yang: Logging Department, School of Geosciences and Technology, China University of Petroleum (East China), Qingdao 266580, China

Energies, 2024, vol. 17, issue 21, 1-16

Abstract: The viscosity of crude oil plays a pivotal role in the exploration and development of oil fields. The predominant reliance on laboratory measurements, which are constrained by manual expertise, represents a significant limitation in terms of efficiency. Two-dimensional nuclear magnetic resonance (NMR) logging offers a number of advantages over traditional methods. It is capable of providing faster measurement rates, as well as insights into fluid properties, which can facilitate timely adjustments in oil and gas development strategies. This study focuses on the loose sandstone reservoirs with high porosity and permeability containing heavy oil in the Huabei oilfield. Two-dimensional nuclear magnetic resonance (NMR) measurements and analyses were conducted on saturated rocks with different-viscosity crude oils and varying oil saturation levels, in both natural and artificial rock samples. This study elucidates the distribution patterns of different-viscosity crude oils within the two-dimensional NMR spectra. Furthermore, the T 1 and T 2 peak values of the extracted oil signals were employed to establish a model correlating oil viscosity with NMR parameters. Consequently, a criterion for determining oil viscosity based on two-dimensional NMR was formulated, providing a novel approach for estimating oil viscosity. The application of this technique in the BQ well group of the Huabei oilfield region yielded an average relative error of 15% between the actual oil viscosity and the computed results. Furthermore, the consistency between the oil types and the oil discrimination chart confirms the reliability of the method. The final outcomes meet the precision requirements for practical log interpretation and demonstrate the excellent performance of two-dimensional nuclear magnetic resonance (NMR) logging in calculating oil viscosity. The findings of this study have significant implications for subsequent exploration and development endeavors in the research area’s oilfields.

Keywords: crude oil viscosity; rock samples; two-dimensional NMR; transverse relaxation time; longitudinal relaxation time (search for similar items in EconPapers)
JEL-codes: Q Q0 Q4 Q40 Q41 Q42 Q43 Q47 Q48 Q49 (search for similar items in EconPapers)
Date: 2024
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