Volume 34 Issue 4
Jul.  2017
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LI Jin, GAO Bin, GONG Ning, XIE Zhongcheng, CHEN Yi, HAN Yaotu. A New Fuzzy Mathematics-based Method for Anti-channeling Performance Evaluation and Its Application[J]. DRILLING FLUID & COMPLETION FLUID, 2017, 34(4): 69-74. doi: 10.3969/j.issn.1001-5620.2017.04.013
Citation: LI Jin, GAO Bin, GONG Ning, XIE Zhongcheng, CHEN Yi, HAN Yaotu. A New Fuzzy Mathematics-based Method for Anti-channeling Performance Evaluation and Its Application[J]. DRILLING FLUID & COMPLETION FLUID, 2017, 34(4): 69-74. doi: 10.3969/j.issn.1001-5620.2017.04.013
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A New Fuzzy Mathematics-based Method for Anti-channeling Performance Evaluation and Its Application

doi: 10.3969/j.issn.1001-5620.2017.04.013

  • 1. State Key Laboratory of Offshore Oil Exploitation, Tianjin Branch of CNOOC, Tianjin 300459;

  • 2. CNOOC Energy Technology & Services Limited Shanghai Branch, Shanghai 200335

  • Received Date: 2017-05-05
  • Publish Date: 2017-07-31
    Abstract
  • Gas channeling in annular spaces is a difficult problem seriously harmful to cementing almost all gas wells. Accurate evaluation of cement slurry's anti-channeling performance is one of the key technologies for the prevention of gas channeling in annular spaces. There are several factors which affect gas channeling in annular spaces in a combined way, while the evaluation methods presently in use do not take them all in consideration and have limited accuracy, and hence they cannot give a full view of the problem they are trying to reveal. In this study, fuzzy mathematics has been used in establishing a model used in predicting comprehensively the anti-channeling performance of a cement slurry. This model takes into account the characteristics of gas channeling in annular spaces. Five commonly used evaluation methods, such as GFP method and SPN method etc., are integrated into an evaluation factor set, "good", "medium" and "poor" anti-channeling capacity are used as an evaluation set. Based on the characteristics of each factor, a corresponding membership function is determined. Use the principles of analytic hierarchy process, the weighted fuzzy set of each factor is calculated, and according to the "maximum subordination principle", the overall risk of sand production is determined. It has been proved that this evaluation method can be used to effectively predict gas channeling in well cementing. It provides a more comprehensive and integrated evaluation method for optimizing cement slurry formulation to prevent pressurized wellhead after well cementing, thereby to ensure the quality and safety of a cemented well.

     

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