A Systematic Machine Learning Method for Evaluating and Predicting Offshore Shallow Hydrocarbon Accumulation in Fault-Bound Traps

References

1. Breiman, L. [1996]. Bagging predictors. Machine learning, 24, 123–140.
   [Google Scholar]
2. Chu, R., Yan, D., Qiu, L., Wang, H., and Wang, Q. [2023]. Quantitative constraints on hydrocarbon vertical leakage: Insights from underfilled fault-bound traps in the Bohai Bay Basin, China. Marine and Petroleum Geology, 149, 106078.
   [Google Scholar]
3. Deng, Y., Xue, Y., Yu, S., and Liu, C. [2017]. Shallow hydrocarbon migration and accumulation theory and discovery of giant oilfield group in Bohai Sea. Acta Geologica Sinica, 38(01), 1–8.
   [Google Scholar]
4. Freund, Y., and Schapire, R.E. [1996]. Experiments with a new boosting algorithm. In: Proceedings of the Thirteenth International Conference on Machine Learning-ICML, Morgan Kaufman, 148–156.
   [Google Scholar]
5. Karayiannis, N., and Venetsanopoulos, A.N. [1992]. Artificial neural networks: learning algorithms, performance evaluation, and applications. Springer Science & Business Media, 3–217.
   [Google Scholar]
6. Kotsiantis, S. [2011]. Combining bagging, boosting, rotation forest and random subspace methods. Artificial intelligence review, 35, 223–240.
   [Google Scholar]
7. Liu, Y., Zeng, J., Qiao, J., Yang, G, Liu, S., and Cao, W. [2023]. An advanced prediction model of shale oil production profile based on source-reservoir assemblages and artificial neural networks. Applied Energy, 333, 120604.
   [Google Scholar]
8. Mahmoud, A., Elkatatny, S., Mahmoud, M., Abouelresh, M., Abdulraheem, A., and Ali, A. [2017]. Determination of the total organic carbon (TOC) based on conventional well logs using artificial neural network. International Journal of Coal Geology, 179, 72–80.
   [Google Scholar]
9. Otchere, DA., Ganat, A.A., Gholami, R., and Ridha, S. [2021]. Application of supervised machine learning paradigms in the prediction of petroleum reservoir properties: comparative analysis of ann and svm models. Journal of Petroleum Science and Engineering, 200, 108182.
   [Google Scholar]
10. Wang, F., Chen, D., Wang, Q., Du, W., Chang, S., Wang, C., Tian, Z., Cheng, M., and Yao, D. [2021]. Quantitative evaluation of caprock sealing controlled by fault activity and hydrocarbon accumulation response: K gasfield in the Xihu Depression, East China Sea Basin. Marine and Petroleum Geology, 134, 105352.
    [Google Scholar]
11. Xu, C., Peng, J., Wu, Q., Sun, Z., and Ye, T. [2019]. Vertical dominant migration channel and hydrocarbon migration in complex fault zone, Bohai Bay sag, China. Petroleum Exploration and Development, 46(4), 720–728.
    [Google Scholar]
12. Zhou, W., Li, X., Qi, Z.L., Zhao, H.H., and Yi, J. [2024]. A shale gas production prediction model based on masked convolutional neural network. Applied Energy, 353 (Part A), 122092.
    [Google Scholar]