Prediction of vitrinite reflectance of shale oil reservoirs using nuclear magnetic resonance and conventional log data

Feng, Cheng; Feng, Ziyan; Mao, Rui; Li, Guanglei; Zhong, Yuntao; Ling, Kegang

doi:10.1016/j.fuel.2023.127422

Cited by 7 publications

(2 citation statements)

References 23 publications

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“…Nevertheless, an extensive corpus of annotated data is requisite for training, a task that may prove challenging in certain domains [12]. Concurrently, the model lacks interpretability, rendering comprehension of the decision-making process arduous [13]. SVMs exhibit efficacy within high-dimensional spaces and are applicable to intricate decision boundaries.…”

Section: Introductionmentioning

confidence: 99%

A Comprehensive Evaluation of Shale Oil Reservoir Quality

Tian,

Fu,

Liu

et al. 2024

Processes

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To enhance the accuracy of the comprehensive evaluation of reservoir quality in shale oil fractured horizontal wells, the Pearson correlation analysis method was employed to study the correlations between geological parameters and their relationship with production. Through principal component analysis, the original factors were linearly combined into principal components with clear and specific physical meanings, aiming to eliminate correlations among factors. Furthermore, Gaussian membership functions were applied to delineate fuzzy levels, and the entropy weight method was used to determine the weights of principal components, establishing a fuzzy comprehensive evaluation model for reservoir quality. Without using principal component analysis, the correlation coefficient between production and evaluation results for the 40 wells in the Cangdong shale oil field was only 0.7609. However, after applying principal component analysis, the correlation coefficient increased to 0.9132. Field application demonstrated that the average prediction accuracy for the cumulative oil production per kilometer of fractured length over 12 months for the 10 applied wells was 91.8%. The proposed comprehensive evaluation method for reservoir quality can guide the assessment of reservoir quality in shale oil horizontal wells.

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Section: Introductionmentioning

confidence: 99%

A Comprehensive Evaluation of Shale Oil Reservoir Quality

Tian,

Fu,

Liu

et al. 2024

Processes

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“…In recent years, due to the advances in oil exploration technologies, shale oil reservoirs have become an important oil resource (Feng et al, 2023;Hu et al, 2024;N. Li, Feng, et al, 2023;Radwan et al, 2023;Sun et al, 2023;Zou et al, 2022).…”

Section: Introductionmentioning

confidence: 99%

A composite water saturation model of continental mixed shale oil reservoirs based on complex lithology identification

Lai,

Liu,

Tan

et al. 2024

Geological Journal

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The complex lithology, frequent interbedding and strong heterogeneity of the shale oil reservoir in Lucaogou Formation of the Middle Permian in Jimsar Sag lead to the complexity of litho‐electric parameters and the low accuracy of conventional reservoir saturation evaluation methods. Therefore, in this paper, automatic lithologic identification was firstly performed with the optimization inversion method of mineral components and K‐means clustering algorithm, and then, litho‐electric experiments were carried out to determine the litho‐electric parameters of different lithologies. Furthermore, the shale oil reservoir saturation calculation models of different lithologies were optimized and determined. Then, a composite water saturation model (Composite‐SW) based on complex lithology identification was constructed. Finally, the model was verified and analysed with the experimental results of water saturation. The coefficient of correlation between the calculation results of the Composite‐SW model and the core experiment results reached .88, indicating that the model was much better than conventional models. The model can be widely applied in logging evaluation of the continental mixed shale oil reservoir in the study area. The study provides a new idea for oil saturation evaluation of continental shale oil reservoirs and is significant for evaluating other types of shale oil reservoirs.

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