Evaluation of Production Performance in Horizontal Shale Gas Wells Based on Flow Array Sensing Tool Monitoring

doi:10.11885/j.issn.1674-5086.2024.11.28.31

Abstract

Abstract: Production profile logging in horizontal wells is a key technique means to evaluate the development and production performance for unconventional gas reservoirs, and accurate quantification of gas and water production in each production layer is the key basis for guiding the optimization and adjustment of gas reservoir development. A new logging system, flow array sensing tool(FAST), which is different from the existing production logging tools such as MAPS and FSI, was introduced for research. By analyzing the response characteristics of array turbine flow, ultrasonic flow, array conductivity and optical fiber holdup curves, a comprehensive quantitative calculation method for fluid velocity based on array turbine flow rate and ultrasonic flow rate and gas and water holdup based on array conductivity and optical fiber holdup data were established. Case study has been carried out based on the measured curves under 2 working systems for fracturing shale gas horizontal Well QH1 from Sichuan basin. Comprehensive comparison shows that the gas and water production of each production layer calculated based on the proposed method is more matched with the actual reservoir characteristics, and the relative errors between the gas and water production of the full flow layer and wellhead is less than 6.5%, which shows that this new method can better meet the requirements for production performance evaluation and fracturing effect evaluation of horizontal wells in unconventional gas reservoirs.

Key words: horizontal well, gas and water phase, flow array sensing tool, production profile, production performance

CLC Number:

TE33+2

CHEN Meng, LAI Qiang, DONG Guomin, LIU Heng, LIU Xiangjun, LI Zhenglan. Evaluation of Production Performance in Horizontal Shale Gas Wells Based on Flow Array Sensing Tool Monitoring[J]. Journal of Southwest Petroleum University(Science & Technology Edition), 2025, 47(5): 75-84.

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