基于改进云模型的化学驱油田开发项目综合评价

与常规油田开发方案的制定不同,油田化学驱开发的开发方案是分项目进行论证的,油田公司需要分年度从中选出综合评价最好的板块来进行投资。针对化学驱项目方案论证时存在的主观和客观多方面不确定性,本文基于灰色聚类方法对云模型方法进行了改进,实现了化学驱油田开发项目的综合评价。新方法将各开发项目的论证结果转化为相应的云,再以此为基础结合改进的灰类白化函数计算相应的灰色隶属度函数。为了削弱模糊性和随机性的影响,该方法综合了灰色熵权法、层次分析法和专家打分法来确定各级指标权重。最后,通过实例验证了模型的有效性和可行性,发现利用该方法进行的综合评价结果具有更好的分类比较能力。

Comprehensive Evaluation of Oilfield Chemical Flooding Projects Based on an Improved Cloud Model

Different from the formulation of general oilfield development plans, the oilfield chemical flooding development is evaluated project by project with different indexes. Oilfield companies need to select the best one to invest by comprehensive evaluation. For the demonstration of chemical flooding oilfield development projects, there is subjective and objective multifaceted uncertainty. In this paper the cloud model based on the grey clustering method is improved, and the comprehensive evaluation of chemical flooding oilfield development plans is implemented based on this improved model. The new method transforms the argumentation results of the development projects into the corresponding clouds, and then calculates the corresponding grey membership degree based on the improved grey whitening functions. In order to weaken the influence of fuzziness and randomness, this method combines the grey entropy weight method. the analytic hierarchy process and the expert assessment method to determine the index weights at all levels. Finally, the validity and feasibility of the model are verified by a practical example, and it is found that the comprehensive evaluation results using this method have better classification and comparison ability.