Abstract
This paper presents a method of multi-attribute reservoir parameter prediction by using the algorithm of minimum support optimization engine (Mulan). It can predict the target lithologies, physical properties and other characteristics by finding the minimum error of the nonlinear association of target log and seismic attributes. According to the case study of the Lower Carboniferous KT-I carbonate reservoir at the eastern margin of the North Caspian Basin, it is believed that the proposed method can effectively avoid the inherent defects of the neural network prediction method and also the instability of training results or falling into local minimum. Moreover, the method provides a higher precision of prediction and effectively discriminate the types of reservoir formation, such as oil layer, oil-water layer, water layer and dry layer. The prediction results match the reservoir distribution revealed by drilling data, and can effectively support the hydrocarbon exploration.
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References
Keqiang, X.: Hydrocarbon Accumulation Characteristics and Exploration Practices in the Central Block of the Eastern Margin of the Caspian Basin. Petroleum Industry Press, Beijing (2011)
Wang, S., Zhao, L., Cheng, X., et al.: Geochemical characteristics and genetic model of dolomite reservoirs in the eastern margin of the Pre-Caspian Basin. Pet. Sci. 9, 161–169 (2012)
Wang, X., Shan, Z., et al.: Structure features and hydrocarbon accumulation characteristics in post-salt strata in block S in Pre-Caspian Basin. J. Geol. 37(1), 49–53 (2013)
Zheng, J., Xue, L., Wang, Z., et al.: New progress in the study of petroleum geology in salt-bearing basins. In: Tong, X., (ed.) Proceedings of Research on Oil and Gas Exploration and Development. Petroleum Industry Press, Beijing (2015)
Liu, L., Zhu, Y., Xiong, Z., et al.: The Precaspian Basin’s lithofacies paleographic features and its evolution. J. Palaeo Geogr. 5(3), 279–290 (2003)
Liang, S., Zheng, J., Zhang, Y.: Characteristics and controlling factors of late Paleozoic carbonate platform in the southeast part of Precaspian basin. Geol. Sci. Technol. Inf. 32(3), 52–58 (2013)
Acknowledgments
We appreciate PetroChina Research Institute of Petroleum Exploration & Development (RIPED) and also the fund support by Major National Special Project “Large oil and gas fields and coalbed methane development” (No. 2016ZX05029) and CNPC project “Key technologies of fine exploration in mature overseas exploration areas” (Number 2016D-4301).
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Wang, Z., Wang, Yk., Jin, St., Zheng, Jz., Liang, S. (2021). A Method of Multi-attribute Reservoir Parameter Prediction: A Case Study of Carbonate Reservoir in the North Caspian Basin. In: Lin, J. (eds) Proceedings of the International Field Exploration and Development Conference 2020. IFEDC 2020. Springer Series in Geomechanics and Geoengineering. Springer, Singapore. https://doi.org/10.1007/978-981-16-0761-5_45
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DOI: https://doi.org/10.1007/978-981-16-0761-5_45
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