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Method and system of obtaining oil saturation based on artificial neural network

A technology of artificial neural network and BP neural network, which is applied in earthwork drilling and production, wellbore/well components, etc., can solve the problems of failure to fully consider the specific influencing factors of reservoir rock-electrical parameters, large error of oil saturation, etc., and achieve Responsive, improve the effect of calculation accuracy

Active Publication Date: 2014-01-01
BC P INC CHINA NAT PETROLEUM CORP +1
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Problems solved by technology

This method averages the values ​​of lithoelectric parameters m and n, and fails to fully consider the specific influencing factors of reservoir rock electric parameters, and the calculated oil saturation has a large error

Method used

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  • Method and system of obtaining oil saturation based on artificial neural network
  • Method and system of obtaining oil saturation based on artificial neural network

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Embodiment

[0058] 1. Select the Jiyuan area of ​​Changqing Oilfield as the research area, and divide the research area into stratigraphy. Among them, the No. 1 research area includes 12 coring wells and 29 adjacent wells, and the lithoelectric experiment results of 65 core samples were collected for the two research horizons of Chang 8 and Chang 9.

[0059] 2. The lithological coefficient a and lithological constant b of the 65 core sample experiments were assigned a value of 1, and the values ​​of m and n were calculated back using Archie's formula.

[0060] 3. Acoustic time difference (AC), natural gamma ray (GR), porosity (Por) and formation true resistivity (Rt) are selected as the input layer of the BP neural network model, and the number of nodes in the middle layer is 9, corresponding to the depth The results of m and n rock electrical experiments are used as the output layer, and the relationship between the output layer and the input layer is established through simulation, and ...

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Abstract

The invention relates to the field of oil saturation technologies, and discloses a method and a system of obtaining oil saturation based on an artificial neural network. The method comprises the following steps of carrying out a rock electricity experiment on a core so as to obtain log data; assigning a and b to 1, and carrying out back calculation to obtain m and n; taking a logging curve which represents lithology, physical properties and oiliness as an input layer, selecting the m and the n as output layers, and establishing a BP neural network model; substituting logging data corresponding to the m and the n which are obtained through the rock electricity experiment into the model so as to obtain m' and n'; comparing the m and the n which are obtained through the rock electricity experiment with the m' and the n' which are obtained through the model so as to obtain a model with a minimum error; substituting data on the logging curve of the corresponding input layer into the model with the minimum error so as to obtain a cementation index curve and a saturation index curve; substituting the curves into an Archie's formula so as to compute the oil saturation. According to the invention, computational accuracy of the oil saturation, which is obtained through the Archie's formula, is improved.

Description

technical field [0001] The invention relates to the technical field of oil saturation, and is mainly applicable to a method and a system for obtaining oil saturation based on an artificial neural network. Background technique [0002] When using logging data to identify oil, gas, and water layers, Archie's formula has always been the main method to calculate the oil (gas) saturation of reservoirs, and its application effect is mainly affected by lithology coefficient a, lithology constant b, and cementation index. The influence of lithoelectric parameters such as m and saturation index n, especially the values ​​of cementation index m and saturation index n directly determine the accuracy of the calculation of oil saturation by Archie’s formula (for lithology coefficient a and lithology constant b These two parameters are often assumed to have little change and are approximately taken as 1). At present, the values ​​of the lithoelectric parameters m and n in Archie's formul...

Claims

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Application Information

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IPC IPC(8): E21B49/00
Inventor 屈乐杜环虹章海宁马修刚朱益华
Owner BC P INC CHINA NAT PETROLEUM CORP
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