Asphaltene Precipitation Modeling Using Fuzzy Tuning of Scaling Equations

作者：Asoodeh Mojtaba; Bagheripour Parisa^*

来源：Journal of Dispersion Science and Technology, 2014, 35(4): 577-580.

DOI：10.1080/01932691.2013.807739

• Asphaltene precipitation
• fuzzy logic
• scaling equation

A major concern in the petroleum industry is asphaltene precipitation, which has negative impacts on production costs and recovery. The scaling equation is the most popular approach for modeling asphaltene precipitated out of solution in crude oils. Due to different values assigned for involved coefficients in scaling equations, they might overestimate or underestimate in some region relative to each other. This study proposes an improved strategy for tuning scaling equations and compensating effects of overestimation and underestimation through fuzzy rules. This strategy, called fuzzy tuning of scaling equations (FTSE), has a parallel framework, which gains outputs of different scaling equations and then introduces them to a fuzzy model as inputs. The fuzzy model breaks down the problem into subspaces through fuzzy membership functions and solves each region separately using fuzzy rules. Aggregating results of each subspace produces final model's output (i.e., FTSE output). Results indicated that FTSE performed more satisfyingly compared with individual scaling equations performing alone.

• 出版日期2014-4-3