Field Monitoring and Identification Method for Overflow of Fractured-Vuggy Carbonate Reservoir

Qiangui Zhang, Zelin Yan, Xiangyu Fan (), Zhilin Li, Pengfei Zhao (), Juntian Shuai, Lichun Jia and Lu Liu
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Qiangui Zhang: Petroleum Engineering School, Southwest Petroleum University, Chengdu 610500, China
Zelin Yan: Petroleum Engineering School, Southwest Petroleum University, Chengdu 610500, China
Xiangyu Fan: Petroleum Engineering School, Southwest Petroleum University, Chengdu 610500, China
Zhilin Li: Drilling and Production Engineering Technology Research Institute, Chuanqing Drilling Engineering Co., Ltd., China National Petroleum Corporation, Guanghan 618300, China
Pengfei Zhao: School of Geoscience and Technology, Southwest Petroleum University, Chengdu 610500, China
Juntian Shuai: China Resources Gas (Suining) Co., Ltd., China Resources, Suining 629000, China
Lichun Jia: Drilling and Production Engineering Technology Research Institute, Chuanqing Drilling Engineering Co., Ltd., China National Petroleum Corporation, Guanghan 618300, China
Lu Liu: First Oil Plant of Qinghai Oilfield, China National Petroleum Corporation, Dunhuang 736202, China

Energies, 2023, vol. 16, issue 5, 1-15

Abstract: Since carbonate reservoirs develop pores and fractures and have a complex formation pressure system, overflow and even blowout seriously threaten the exploration and development of these kinds of reservoirs. According to the overflow characteristics of fractured-vuggy carbonate reservoirs, a field monitoring and identification method for overflow has been developed. This method is based on the top-down logic framework for early overflow identification, combined with optimized monitoring parameters. The DBSCAN clustering algorithm is used to identify abnormal logging parameters, and thus, a probability weight coefficient of overflow (K) indicated by the abnormal engineering parameters of a gas well can be calculated. K is divided into four early warning response levels of overflow, and the overflow control operation can be made according to the different levels of early warning response. Based on this method, an integrated software system for field monitoring and identification of early overflow is designed. This software system integrates the functions of data collection and management, overflow risk parameter calculation, overflow early warning, and overflow simulation analysis. Finally, according to a case analysis of overflow prediction for a fractured-vuggy carbonate reservoir in Well XX, this method’s prediction stability and accuracy are demonstrated, indicating that it can be used for the overflow early warning in engineering practice.

Keywords: overflow identification; carbonate reservoir; field monitoring; integrated early warning system (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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