Numerical investigation on 2-D NMR response mechanisms and the frequency conversion of petrophysical parameters in shale oil reservoirs

Characterizing the petrophysical properties holds significant importance in shale oil reservoirs. Two-dimensional (2-D) nuclear magnetic resonance (NMR), a nondestructive and noninvasive technique, has numerous applications in petrophysical characterization. However, the complex occurrence states of the fluids and the highly non-uniform distributions of minerals and organic matter pose challenges in the NMR-based petrophysical characterization. A novel T 1 - T 2 relaxation theory is introduced for the first time in this study. The transverse and longitudinal relaxivities of pore fluids are determined based on numerical investigation and experimental analysis. Additionally, an improved random walk algorithm is proposed to, on the basis of digital shale core, simulate the effects of the hydrogen index (HI) for the organic matter, echo spacing ( T E ), pyrite content, clay mineral type, and clay content on T 1 - T 2 spectra at different NMR frequencies. Furthermore, the frequency conversion cross-plots for various petrophysical parameters influenced by the above factors are established. This study provides new insights into NMR-based petrophysical characterization and the frequency conversion of petrophysical parameters measured by laboratory NMR instruments and NMR logging in shale oil reservoirs. It is of great significance for the efficient exploration and environmentally friendly production of shale oil.

Authors

Institutions

Publication Details

Journal
Petroleum Science
Published
2025-03-14
DOI
https://doi.org/10.1016/j.petsci.2025.03.014
Citations
4
Primary Topic
NMR spectroscopy and applications
Type
article
Field-Weighted Citation Impact
7.48

Funders

Controls
|||
ALL TIME
JAN
FEB
MAR
APR
MAY
JUN
JUL
AUG
SEP
OCT
article

Numerical investigation on 2-D NMR response mechanisms and the frequency conversion of petrophysical parameters in shale oil reservoirs

Ranhong Xie, Guowen Jin, Jiangfeng Guo, Jilong Liu
4 citations
Petroleum Science
NMR spectroscopy and applications
7.48
article

Numerical investigation on 2-D NMR response mechanisms and the frequency conversion of petrophysical parameters in shale oil reservoirs

Ranhong Xie, Guowen Jin, Jiangfeng Guo, Jilong Liu
article en
4 citations

Abstract

Characterizing the petrophysical properties holds significant importance in shale oil reservoirs. Two-dimensional (2-D) nuclear magnetic resonance (NMR), a nondestructive and noninvasive technique, has numerous applications in petrophysical characterization. However, the complex occurrence states of the fluids and the highly non-uniform distributions of minerals and organic matter pose challenges in the NMR-based petrophysical characterization. A novel T 1 - T 2 relaxation theory is introduced for the first time in this study. The transverse and longitudinal relaxivities of pore fluids are determined based on numerical investigation and experimental analysis. Additionally, an improved random walk algorithm is proposed to, on the basis of digital shale core, simulate the effects of the hydrogen index (HI) for the organic matter, echo spacing ( T E ), pyrite content, clay mineral type, and clay content on T 1 - T 2 spectra at different NMR frequencies. Furthermore, the frequency conversion cross-plots for various petrophysical parameters influenced by the above factors are established. This study provides new insights into NMR-based petrophysical characterization and the frequency conversion of petrophysical parameters measured by laboratory NMR instruments and NMR logging in shale oil reservoirs. It is of great significance for the efficient exploration and environmentally friendly production of shale oil.

Petroleum ScienceVol. 22(5)
China University of Petroleum, Beijing (CN)
National Natural Science Foundation of China
Openalex Percentile: Top 4%
NMR spectroscopy and applications
7.48
AI Navigator

Ask Laika to Summarize, Analyze, and Connect papers live on the map.

Summarize Papers & Methodologies

Extract key findings, datasets, and comparative methods across publications.

Benchmark Rankings & Visual Analytics

Rank top research institutions, authors, funders, topics, and journals by Field-Weighted Citation Impact (FWCI) and paper volume with instant charts.

Connect Distant Disciplines

Bridge topological clusters on the map to find hidden collaborative intersections.