Whole well pattern water injection development optimization method based on deep learning and graph theory
A technology of deep learning and optimization methods, applied in neural learning methods, mining fluids, earthwork drilling and production, etc., can solve problems such as difficult to expand the swept volume, difficult to obtain better development results, unstable water injection schemes, etc.
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[0027] The technical solutions of the present invention will be further described below in conjunction with the accompanying drawings and embodiments. The drawings in the embodiments are used for further understanding of the present invention, and are used together with the description to explain the present invention, and do not constitute a limitation to the protection scope of the present invention.
[0028] The present invention described in the present invention proposes a method for optimizing water injection development of a full well pattern based on deep learning and graph theory. The specific method is as follows:
[0029] (1) Reference figure 2 and Figure 5 , to obtain the geometric information of the full injection-production target well pattern, and construct a deep convolutional neural network structure; specifically including:
[0030] According to the characteristics of the full injection-production well pattern in the long period, the construction includes...
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