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Method for identifying reservoir fluid properties based on extracted chaotic characteristic parameters

A technology with chaotic characteristics and fluid properties, which is used in surveying, earth-moving drilling and production, wellbore/well components, etc. It can solve the problems of difficult to meet the needs of reservoir fluid classification, cover up reservoir fluid characteristic information, etc., and achieve perfection. Evaluate the interpretation, improve the recognition coincidence rate, and improve the effect of recognition accuracy

Inactive Publication Date: 2012-06-20
CHANGCHUN UNIV
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Problems solved by technology

[0003] The present invention provides a method for solving the problem that it is difficult to meet the requirements of reservoir fluid classification and even cover up the characteristic information of reservoir fluid by adopting linear analysis method in the field of petroleum logging to extract reservoir logging data. Recognition Method of Reservoir Fluid Properties Based on Extracting Chaotic Characteristic Parameters

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  • Method for identifying reservoir fluid properties based on extracted chaotic characteristic parameters
  • Method for identifying reservoir fluid properties based on extracted chaotic characteristic parameters

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specific Embodiment approach 1

[0012] Specific implementation mode 1. Combination figure 1 In this embodiment, the identification method of reservoir fluid properties based on chaotic characteristic parameters is described. In this embodiment, chaos theory and analysis methods are used to analyze logging data, so as to realize further supplementation to logging interpretation. It is beneficial to excavate the nonlinear characteristics of the reservoir fluid and solve the problems that cannot be solved by the linear method. The specific method is as follows:

[0013] 1. Preprocessing of raw data of reservoirs (oil layer, water layer or dry layer) with different fluid properties: including normalization, denoising, data fitting, etc., to ensure the reliability and accuracy of the original measurement data, and to meet the chaos algorithm requirements; since the collected logging data of each characteristic layer of the reservoir does not meet the requirements of the chaotic algorithm, a large error will be ge...

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Abstract

The invention discloses a method for identifying reservoir fluid properties based on extracted chaotic characteristic parameters, relating to the field of oil well logging, and solving the problems that requirements on reservoir fluid classification are hard to meet owing to adopting a linear analysis method to extract reservoir well logging data in the conventional oil well logging field, even the reservoir fluid characteristic information is covered. The method specifically comprises the following steps of: acquiring well logging data of a reservoir; preprocessing the acquired well logging data; carrying out non-stationary analysis on the preprocessed data, and carrying out chaotic characteristic identification on the well logging data; and finally carrying out chaotic characteristic parameter extraction on the data after chaotic characteristic identification by adopting a phase space reconstruction technology, thereby identifying different fluid properties. According to the method disclosed by the invention, the oil layer distribution situation of the reservoir can be better predicted, and the identification precision is improved.

Description

technical field [0001] The invention relates to the field of petroleum well logging, in particular to a method for identifying reservoir fluid properties (oil layers, water layers and dry layers) according to the change law of chaotic characteristic parameters of reservoir logging data. Background technique [0002] The invention mainly utilizes the chaotic characteristics to quantitatively and qualitatively analyze the information of the reservoir fluid property (oil layer, water layer and dry layer). For a long time, people have been using linear methods to extract features of logging signals. Linear analysis methods are difficult to meet the classification needs of oil layers, water layers and dry layers, and even cover up some reservoir characteristic information. The existing classification features of reservoir logging signals are often based on linear system theory, and the non-stationary characteristics of reservoir signals with different properties are not fully con...

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Application Information

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Patent Type & Authority Applications(China)
IPC IPC(8): E21B47/00
Inventor 聂春艳吉淑娇王桔张万里李泽
Owner CHANGCHUN UNIV
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