Research On The Effect Analysis Method Of Oilfield Stimulation Measures Based On Fuzzy Comprehensive Evaluation

Oilfield stimulation measures are the key factors affecting the oilfield development cycle and development cost.The analysis and evaluation of the effect of oilfield stimulation measures can not only improve the effectiveness of measures,but also improve the decision-making level of enterprises.Due to the difficulty in quantifying,ambiguous and uncertain in the evaluation indicators of the effect of oilfield stimulation measures,most of the current evaluation of the effect of oilfield stimulation measures adopts qualitative methods.In this thesis,an analysis method for the effect of oilfield stimulation measures based on fuzzy comprehensive evaluation is proposed,which transforms qualitative evaluation into quantitative evaluation,which has certain practical significance and research value.Firstly,the factors affecting the effect of oilfield stimulation measures are analyzed,and the analysis indicators of the effect of stimulation measures are screened out,and the indicators are divided into pre-measure preferred indicators and post-measure effect evaluation indicators,and the analysis index system of the effect of stimulation measures is established,and the weight of two types of indicators is determined by the analytic hierarchy method,entropy weight method and combined weight empowerment method respectively.Secondly,according to the preferred index before the measure,the reference sequence and comparison sequence of the index are determined,and the gray correlation degree is obtained according to the index weight and gray correlation coefficient,and the optimal model of stimulation measures based on gray correlation analysis is established.Thirdly,according to the evaluation index of the effect after the measure,the fuzzy comprehensive evaluation affiliation degree matrix was determined,and the fuzzy comprehensive evaluation results were obtained according to the index weight and membership degree matrix,and the measure effect evaluation model based on fuzzy comprehensive evaluation was established.Finally,using Angular5 as the front-end framework,Spring Boot as the back-end framework,Java and Python as the programming language,My SQL is used as the database to design and implement an oilfield stimulation measure effect analysis system with measures data management,stimulation measure optimization and measure effect evaluation.In this thesis,the fuzzy comprehensive evaluation method is used to quantify the evaluation index of the effect of oilfield stimulation measures,and the evaluation of the effect of oilfield stimulation measures is transformed from qualitative evaluation to quantitative evaluation.The design and implementation of the oilfield stimulation measures effect analysis system provides a reference for oilfield enterprises to select stimulation measures and measure effect evaluation.