A Comprehensive Multi-Factor Method for Identifying Overflow Fluid Type

Zhenyu Tao (), Honghai Fan, Yuhan Liu and Yuguang Ye
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Zhenyu Tao: College of Petroleum Engineering, China University of Petroleum, Beijing 102249, China
Honghai Fan: College of Petroleum Engineering, China University of Petroleum, Beijing 102249, China
Yuhan Liu: CNPC Engineering Technology Research and Development Company Limited, Beijing 102206, China
Yuguang Ye: College of Petroleum Engineering, China University of Petroleum, Beijing 102249, China

Energies, 2023, vol. 16, issue 2, 1-15

Abstract: Accurate identification of overflow fluid types facilitates timely and effective handling of onsite overflow accidents. Research into identifying the type of overflow fluid is limited, and there are only simple calculation models that do not consider enough effects; additionally, accuracy needs to be improved and the identification method is not perfect. If there is no drilling data, it is impossible to identify the overflow fluid. Therefore, this paper modifies the density calculation model of overflow fluid by considering the influence of the temperature, pressure field, and two-phase flow model, making the calculation result more accurate and universal, and puts forward a comprehensive method for auxiliary identification based on gas logging interpretation. This paper uses the gas state equation to verify the accuracy of the overflow density model; after verification using data from more than 20 overflowing wells, the method was found to be practical and had an accuracy rate of more than 90%. Thus, this study and the proposed method can provide guidance for dealing with overflow accidents in the field and any follow-up research.

Keywords: dealing with overflow accidents; identification of overflow fluid type; overflow fluid density calculation; gas logging interpretation; two-phase flow model (search for similar items in EconPapers)
JEL-codes: Q Q0 Q4 Q40 Q41 Q42 Q43 Q47 Q48 Q49 (search for similar items in EconPapers)
Date: 2023
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