Intuitionistic fuzzy-based entropy weight method-TOPSIS for multi-attribute group decision-making in drilling fluid waste treatment technology selection.

ABSTRACT

Drilling fluid waste is produced by oil and gas industry operations and can potentially cause serious environmental pollution and energy consumption if not properly treated. Currently, there are several treatment methods available for drilling fluid waste such as bioremediation, thermal treatment, solidification/stabilization treatment, electrochemical remediation, physiochemical treatment, and supercritical fluid treatment. However, selecting an adequate method to treat drilling fluid waste is a critical consideration. The objective of this work is to analyze the problem of drilling fluid waste pollution and treatment methods, establish a drilling fluid waste treatment decision index system that takes into account various factors, and apply the intuitionistic fuzzy-based entropy weight method (EWM)-technique for order of preference by similarity to ideal solution (TOPSIS) method to make a multi-attribute group decision on drilling fluid waste treatment methods. The method is then applied to the WBQ004-1-H1 drilling project as an example for comprehensive analysis. The final decision results show that A3 (0.566) > A1 (0.537) > A6 (0.526) > A5 (0.485) > A4 (0.478) > A2 (0.447), so the solidification/stabilization treatment is the most suitable method for this project, providing new insights into selecting drilling fluid waste treatment methods in actual projects.