During development of production processes in deep formations by means of wells placed in lower productive intervals, it is specifically such formations that have gradually become the major challenge in oil production. Due to the considerable depths and the combination of complex properties of the formations, in order for formulate a rational development program for the formations we need comprehensive understanding of their drillability and distribution in the specified region. In this paper; in order to provide such geological information, based on laboratory core experiments we have established the drillability of sections of the formation in a specified region by interpolation of support vectors by the kriging method.
Similar content being viewed by others
References
Yi Zhang, Yinglau Mai, Tengfei Sun, and Zhaohui Cao, “Practical application of a component analysis and cluster analysis to evaluate the parameters of layered heterogeneous formations in Dagang Oil Field,” Chemistry and Technology of Fuels and Oils, 6, No. 586, 48-51 (2014).
Wangwen Wu, Yongguo Yang, and Youkuo Chen, “Kriging interpolation method optimized by LSSVM and its application in predicting coal thickness,” Coal Technology, 34. No. 5, 89-91 (2015).
M. Cellura, G Cirrincione, A. Marvuglia, and A. Miraoui, “Wind speed spatial estimation for energy planning in Sicily: A neural kriging application,” Renewable Energy, 33, 1251-1266 (2008).
V. N. Vapnik, Statistical Learning Theory, Wiley, New York (1998).
Minghe Yang, Yinghu Zhai, and Yuanpu Ma, “Creating formation drillability plane based on finite element method,” Petroleum Drilling Techniques, 35, No. 5, 59-61 (2007).
Minghe Yang, Yinghu Zhai, and Hongnan **a, “Application of grey correlation analysis on development and adjustment in Gaotaizi Oil Field,” Petroleum Geology and Engineering, 22, No. 3, 83-84 (2008).
Author information
Authors and Affiliations
Additional information
Translated from Khimiya i Tekhnologiya Topliv i Masel, No. 3, pp. 83 — 84, May — June, 2018.
Rights and permissions
About this article
Cite this article
Zhang, Y., Duan, M., Kong, X. et al. Study of Drillability Evaluation in Deep Formations Using the Kriging Interpolation Method. Chem Technol Fuels Oils 54, 382–385 (2018). https://doi.org/10.1007/s10553-018-0936-5
Published:
Issue Date:
DOI: https://doi.org/10.1007/s10553-018-0936-5