{"title":"Numerical investigation of T2∗-based and T2-based petrophysical parameters frequency-dependent in shale oil","authors":"Jilong Liu, Ranhong Xie, Jiangfeng Guo","doi":"10.1016/j.energy.2024.133788","DOIUrl":null,"url":null,"abstract":"<div><div>In this paper, the <em>T</em><sub>2</sub>∗-based relaxation theory and numerical simulation method in shale oil were established for the first time, which have been verified through free induction decay (FID) pulse sequence experiments. For the first time, the digital core technology was combined with organic carbon and Rock-Eval analysis, X-ray diffraction quantitative analysis experiments to construct representative digital shale cores. The effects of magnetic field frequency (<em>f</em>), mineral contents and types, as well as the magnetic susceptibilities difference (MSD) on <em>T</em><sub>2</sub>∗ responses were simulated based on the random walk method. For the first time, the frequency conversion cross-plots for <em>T</em><sub>2</sub>∗-based and <em>T</em><sub>2</sub>-based petrophysical parameters were proposed. The results show these effects on NMR-based petrophysical parameters are non-negligible. When <em>T</em><sub>d</sub> = 1 μs, <em>T</em><sub>E</sub> = 0.08 ms, <em>f</em> is 200 MHz, pyrite content is 5.43 %, and MSD is 9 × 10<sup>−5</sup>SI, the porosity, <span><math><mrow><msubsup><mi>T</mi><mrow><mn>2</mn><mtext>LM</mtext></mrow><mo>∗</mo></msubsup></mrow></math></span>, and organic matter content of <em>T</em><sub>2</sub>∗ distribution is 1.32 %, 0.013 ms, and 9.019 %, which are 1.33 times, 0.006 times, and 1.37 times those of <em>T</em><sub>2</sub> distribution. This work contributes to frequency conversion of petrophysical parameters between in the laboratory NMR instrument and NMR logging.</div></div>","PeriodicalId":11647,"journal":{"name":"Energy","volume":"313 ","pages":"Article 133788"},"PeriodicalIF":9.0000,"publicationDate":"2024-11-09","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"Energy","FirstCategoryId":"5","ListUrlMain":"https://www.sciencedirect.com/science/article/pii/S0360544224035667","RegionNum":1,"RegionCategory":"工程技术","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"Q1","JCRName":"ENERGY & FUELS","Score":null,"Total":0}
引用次数: 0
Abstract
In this paper, the T2∗-based relaxation theory and numerical simulation method in shale oil were established for the first time, which have been verified through free induction decay (FID) pulse sequence experiments. For the first time, the digital core technology was combined with organic carbon and Rock-Eval analysis, X-ray diffraction quantitative analysis experiments to construct representative digital shale cores. The effects of magnetic field frequency (f), mineral contents and types, as well as the magnetic susceptibilities difference (MSD) on T2∗ responses were simulated based on the random walk method. For the first time, the frequency conversion cross-plots for T2∗-based and T2-based petrophysical parameters were proposed. The results show these effects on NMR-based petrophysical parameters are non-negligible. When Td = 1 μs, TE = 0.08 ms, f is 200 MHz, pyrite content is 5.43 %, and MSD is 9 × 10−5SI, the porosity, , and organic matter content of T2∗ distribution is 1.32 %, 0.013 ms, and 9.019 %, which are 1.33 times, 0.006 times, and 1.37 times those of T2 distribution. This work contributes to frequency conversion of petrophysical parameters between in the laboratory NMR instrument and NMR logging.
期刊介绍:
Energy is a multidisciplinary, international journal that publishes research and analysis in the field of energy engineering. Our aim is to become a leading peer-reviewed platform and a trusted source of information for energy-related topics.
The journal covers a range of areas including mechanical engineering, thermal sciences, and energy analysis. We are particularly interested in research on energy modelling, prediction, integrated energy systems, planning, and management.
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