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Shale Gas Reservoir Identification Method Based on Support Vector Machine

A support vector machine and reservoir identification technology, applied in character and pattern recognition, computer components, instruments, etc., can solve the problems of multi-parameter nonlinearity, lack of shale gas reservoir logging interpretation methods, etc., and achieve good results Effect

Active Publication Date: 2018-05-01
BC P INC CHINA NAT PETROLEUM CORP +1
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  • Summary
  • Abstract
  • Description
  • Claims
  • Application Information

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Problems solved by technology

According to the known well logging interpretation and oil test results, the present invention uses the preferred parameters while drilling as the discriminant parameters, and establishes a model that can effectively identify shale gas reservoirs through support vector machine analysis, so as to realize the identification of shale gas reservoirs. Interpretation while drilling solves the problems of lack of logging interpretation methods and multi-parameter nonlinearity in shale gas reservoirs

Method used

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  • Shale Gas Reservoir Identification Method Based on Support Vector Machine
  • Shale Gas Reservoir Identification Method Based on Support Vector Machine

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Embodiment 1

[0040] A method for identifying shale gas reservoirs based on support vector machines, comprising the following steps:

[0041] a. Synthesize and classify the data of shale gas horizontal wells drilled in the same block;

[0042] b. Use regional data to optimize parameters while drilling as training samples;

[0043] c. Calculation using parameters while drilling Q factor;

[0044] d. Optimizing the model parameters of the support vector machine;

[0045] e. Establish a regional support vector machine model;

[0046] f. Use the established model to identify the reservoir of the shale gas horizontal well being drilled as a prediction sample.

[0047] In the step a, the logging, mud logging and oil testing data of the drilled shale gas horizontal wells in the same block are integrated, and the data of the shale gas horizontal section are classified according to the logging interpretation and oil testing data.

[0048] In the step a, the classification process is: according ...

Embodiment 2

[0061] The invention is a method for establishing a shale gas reservoir interpretation model while drilling through discriminant analysis of a support vector machine. Through the support vector machine, the discriminant model that can effectively identify the shale gas reservoir is established by using the parameters while drilling, and solves the problem of shale gas Reservoir logging interpretation methods are lacking, and multi-parameter non-linear problems. The present embodiment will be described below in conjunction with the accompanying drawings.

[0062] A shale gas reservoir identification method based on support vector machine, such as figure 1 As shown, the process is as follows:

[0063] 1. Combine the logging, mud logging and oil testing data of the shale gas horizontal wells drilled in the same block, and classify the shale gas horizontal section data according to the logging interpretation and oil testing data, and classify them into different groups do not. ...

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Abstract

The invention discloses a shale gas reservoir identification method based on a support vector machine, which is characterized in that it comprises the following steps: a. Synthesizing and classifying the data of drilled shale gas horizontal wells in the same block; b. Utilize regional data, optimize while drilling parameters as training samples; c, use while drilling parameters to calculate Q factor; d, optimize the model parameters of support vector machine; e, establish regional support vector machine model; f, use establishment Reservoir identification of shale gas horizontal wells being drilled as prediction samples. According to the known well logging interpretation and oil testing results, the present invention uses the preferred parameters while drilling as the discriminant parameters, and establishes a model that can effectively identify shale gas reservoirs through support vector machine analysis, so as to realize the identification of shale gas reservoirs. Interpretation while drilling solves the problems of lack of logging interpretation methods and multi-parameter nonlinearity in shale gas reservoirs.

Description

technical field [0001] The invention relates to a method for identifying shale gas reservoirs based on a support vector machine, belonging to the field of oil and gas exploration and development. Background technique [0002] Shale gas is natural gas stored in shale in free and adsorbed states. It is gradually becoming a hot spot in oil and gas exploration. Domestic shale gas horizontal well development is about to be carried out on a large scale. For the interpretation method of shale gas while drilling, for example, the study on the logging response characteristics and identification methods of shale gas reservoirs disclosed in the 18th issue of "Science and Technology Herald" in 2012. [0003] However, due to the particularity of shale gas reservoirs, in addition to the comprehensive logging parameters, there is only one logging-while-drilling parameter of gamma while drilling, and there are few parameters while drilling. Moreover, the current level of shale gas research...

Claims

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Application Information

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Patent Type & Authority Patents(China)
IPC IPC(8): G06K9/62
Inventor 瞿子易唐谢崔健韩贵生李旭罗芳刘达贵
Owner BC P INC CHINA NAT PETROLEUM CORP
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