A continuous prediction method for shale lithofacies based on logging information

A prediction method and shale technology, applied in the field of continuous prediction of shale lithofacies based on logging information, can solve the problems of easily lost shale continuity attributes and their differences, differences in shale attribute recognition, etc. Cost-effective, cost-saving effect

Active Publication Date: 2017-11-24
SOUTHWEST PETROLEUM UNIV
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Problems solved by technology

[0004] The purpose of the present invention is to provide a continuous prediction method for shale lithofacies based on well logging information, aiming at solving the problem of establishing shale lithofacies through rock sample sampling analysis, which is easy to lose the continuity attributes and differences of shale, resulting in shale attribute The problem of recognizing differences

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  • A continuous prediction method for shale lithofacies based on logging information
  • A continuous prediction method for shale lithofacies based on logging information
  • A continuous prediction method for shale lithofacies based on logging information

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[0024] In order to make the object, technical solution and advantages of the present invention more clear, the present invention will be further described in detail below in conjunction with the examples. It should be understood that the specific embodiments described here are only used to explain the present invention, not to limit the present invention.

[0025] In the present invention, the two parameters of organic matter content and mineral composition are selected as the basis for the division of shale lithofacies. Firstly, organic matter-rich and organic matter-poor shale is divided according to whether the organic matter content exceeds 2%; How much salt mineral content to establish the classification standard of 7 kinds of shale lithofacies types, the present invention utilizes the relationship between logging information and shale lithofacies identified through rock analysis test data, and uses artificial neural network technology to establish a prediction model , to...

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Abstract

The invention discloses a shale lithofacies continuity prediction method based on logging information. First, the shale lithofacies type is determined based on analysis test of a cored well and slice data, logging response characteristics reflecting the shale lithofacies type are found, and the continuity of shale lithofacies type is predicted by use of an artificial neural network technology based on a logging curve. The problem that the continuity attributes of shale and the difference thereof are easy to lose and difference in shale attribute understanding is caused when the shale lithofacies is established based on rock sample analysis only is overcome. The method of predicting shale lithofacies based on logging information is a low-cost, quick and effective method.

Description

technical field [0001] The invention belongs to the technical field of shale gas development, in particular to a method for continuously predicting shale lithofacies based on logging information. Background technique [0002] The division of shale lithofacies is mostly done from the perspective of genesis, which is not applicable to intervals that are favorable for the development of shale gas. [0003] Rock sample sampling analysis to establish shale lithofacies is easy to lose the continuity attributes and differences of shale, resulting in differences in the understanding of shale attributes. There are also many judgment errors and differences in interpretation results by different interpreters when using logging interpretation methods . Contents of the invention [0004] The purpose of the present invention is to provide a continuous prediction method for shale lithofacies based on well logging information, aiming at solving the problem of establishing shale lithofaci...

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Application Information

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Patent Type & Authority Patents(China)
IPC IPC(8): G01V9/00G06N3/04G06N3/08
CPCG01V9/00G06N3/04G06N3/08
Inventor 蒋裕强蒋婵
Owner SOUTHWEST PETROLEUM UNIV
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