Risk assessment of washout by slope flow along long-distance-pipeline based on quantitative index cloud reasoning-integrated weighting

The washout by slope flow along long-distance oil & gas pipelines is a common geological hazard that occurs when pass through the alluvial-proluvial fan section of mountain piedmont. Accurate and effective evaluation risk single an important basis for disaster prevention control decisions. According to characteristics lack basic research data in development area flow, complexity assessment structure strong randomness ambiguity multi-index system, on rapid acquisition initial indicators field survey, simple experiment sampling analysis, quantitative index cloud reasoning model pipeline was established introducing single-condition single-rule with summation integration weighting algorithm, carry out instance verification. results 11 samples showed medium relatively high risks, overall distribution trend concentrated. Compared obtained entropy weight-extension method standard recommendation method, proposed more line small-scale background analysis reality study area, it’s also beneficial ensure safe operation pipelines. In this obtainment source reliable, objective, preprocessing simplified, classification are reasonable, process takes into consideration both which improves accuracy effectiveness results. It provides new way thinking other related research.