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Civil and Environmental Engineering

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Edith Cowan University

Research outputs 2022 to 2026

Lost circulation

Publication Year

Articles 1 - 2 of 2

Full-Text Articles in Engineering

An Innovative Fracture Plugging Evaluation Method For Drill-In Fluid Loss Control And Formation Damage Prevention In Deep Fractured Tight Reservoirs, Chengyuan Xu, Lei Liu, Yang Yang, Yili Kang, Zhenjiang You Feb 2024

An Innovative Fracture Plugging Evaluation Method For Drill-In Fluid Loss Control And Formation Damage Prevention In Deep Fractured Tight Reservoirs, Chengyuan Xu, Lei Liu, Yang Yang, Yili Kang, Zhenjiang You

Research outputs 2022 to 2026

Lost circulation, resulting from the undesired loss of drilling fluid into formation fractures, stands as a significant technical obstacle in the exploration and production of oil, gas, and geothermal reservoirs. Effective mitigation of this challenge requires the development and application of robust experimental evaluation methods to assess the effectiveness of fracture plugging. The traditional approach to fracture plugging evaluation relies on a uniform evaluation index and experimental parameters for various lost circulation types. Unfortunately, this practice frequently results in inconsistent performance of loss control formulas during laboratory experiments and field tests. To address this issue, this paper introduces an innovative …


Prediction Of Drilling Fluid Lost-Circulation Zone Based On Deep Learning, Yili Kang, Chenglin Ma, Chengyuan Xu, Lijun You, Zhenjiang You Aug 2023

Prediction Of Drilling Fluid Lost-Circulation Zone Based On Deep Learning, Yili Kang, Chenglin Ma, Chengyuan Xu, Lijun You, Zhenjiang You

Research outputs 2022 to 2026

Lost circulation has become a crucial technical problem that restricts the quality and efficiency improvement of the drilling operation in deep oil and gas wells. The lost-circulation zone prediction has always been a hot and difficult research topic on the prevention and control of lost circulation. This study applied machine learning and statistical methods to deeply mine 105 groups and 29 features of loss data from typical loss block M. After removing 10 sets of noise data, the methods of mean removal, range scaling and normalization were used to pre-treat the 95 sets of the loss data. The multi-factor analysis …