Non-linear optimization decision-making method of planning schemes for oilfield development

Abstract

A non-linear optimization decision-making method of planning schemes for oilfield development comprises the following steps that A a planning scheme set to be optimized and a scheme evaluation index set are determined; B an attribute decision-making matrix is built according to index attribute data provided by the schemes; C standardization is performed through different methods according to different index attribute types so that the decision-making matrix can be converted into a standardized decision-making matrix; D the weight of each index attribute is calculated through a combination weighting method, subjective and objective combination is achieved, and the just and ideal weight of each index attribute is obtained; E a weighted standardized matrix is built by means of the standardized matrix obtained in the step C and the weights obtained in the step D; F the schemes are sequenced according to strengths and weaknesses to obtain the optimal scheme by means of an evaluation decision-making model. The method solves the problem that the weights of the index attributes are too objective or subjective, relieves the degree of influence on the weights from the maximum deviation of the index attributes and makes an evaluation result be more scientific, accurate, just and reasonable.

Description

technical field [0001] The invention relates to a nonlinear optimization decision-making method for an oilfield development planning scheme, in particular to a method for optimizing a decision-making scheme for an oilfield development planning scheme by determining weights through a combination weighting method and constructing a nonlinear value function evaluation decision-making model. Background technique [0002] At present, most oilfields in my country are in the period of medium and high water cut. In order to formulate the development (adjustment) plan of the oilfield in the middle and late stages, it is necessary to comprehensively consider the national planning indicators, oilfield production capacity indicators, and oilfield development investment. The quality of the development plan directly affects the comprehensive economic benefits of the oilfield. Therefore, it is essential to plan and design oilfield development. The optimization of the planning scheme is th...

AI Technical Summary

Problems solved by technology

Secondly, there are more subjective factors in the distribution of index weights, which affects the effectiveness of its evaluation methods

Computational intelligence methods require learning samples for supervised learning. These samples come from usual collection or from the construction based on attribute value functions; the former may be difficult to collect, and the latter has a certain degree of subjectivity

The simulation method needs a probability density function that can reflect the actual situation or establishes a mathematical model that can reflect the actual situation and performs a large number of calculations, so there are certain limitations

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