Weight Analysis Method of Main Controlling Factors of Oilfield Production

Abstract

The invention relates to an analysis method for the weight of a main controlling factor of oil field output, and belongs to the field of oil exploitation. The method comprises the steps that 1) a present producing-well exploitation scheme database is established according present daily output data q of a typical producing well and output influential factors of a practical oil field block, and an extreme difference analysis database, an average effect database of different factor levels and an output extreme difference database of the factors of the present producing-well exploitation scheme database are obtained; 2) a pairwise-comparison determining matrix of the output influential factors is constructed; 3) weights of the output influential factors are calculated; and 4) the consistency is detected. The method has the advantages that weight analysis is more reasonable, influence caused by errors of subjective factor determination is eliminated, and the consistency of the determining matrix is enhanced.

Description

technical field [0001] The invention relates to the field of petroleum exploitation, in particular to a method for analyzing the weight of main controlling factors of oilfield production which enhances the rationality of weight analysis, eliminates the influence of judgment errors of human subjective factors, and enhances the consistency of judgment matrix. Background technique [0002] There are many factors affecting oil well production, and it is difficult to take into account the influence of all factors in field construction design, so it is necessary to screen out the main influencing factors of oil well production. [0003] The AHP adopted at present takes the research object as a system and makes decisions according to the way of thinking of decomposition, comparison and judgment, and synthesis. It has become an important tool for system analysis developed after mechanism analysis and statistical analysis. A large amount of production data and reservoir parameters in...

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Problems solved by technology

[0004] 1. Insufficient rationality of the weights: when constructing the weight judgment matrix of each layer of factors, the hierarchical quantitative method is used to assign values ​​[that is, the traditional 1-9 hierarchical quantitative scale], because only 9 scales can be used to distinguish the degree of influence of each factor Different, the same scale may be used when there is a small difference between the two factors, and the use of nine grading quantitative scales will affect the rationality of the weight;

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