Method and device for determining critical erosion velocity of injection-production string
A technology for injecting and collecting pipe strings and determining methods, which can be applied in neural learning methods, biological neural network models, design optimization/simulation, etc., and can solve problems such as low accuracy and limitations.
Active Publication Date: 2022-02-01
PETROCHINA CO LTD
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[0004] The embodiment of the present invention provides a method for determining the critical erosion velocity of an injection-production string to solve the technical problems of low accuracy and limitations in determining the critical erosion velocity of an injection-production string in the prior art
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[0019] In order to make the object, technical solution and advantages of the present invention clearer, the present invention will be described in further detail below in conjunction with the embodiments and accompanying drawings. Here, the exemplary embodiments and descriptions of the present invention are used to explain the present invention, but not to limit the present invention.
[0020] In an embodiment of the present invention, a method for determining the critical erosion velocity of an injection-production string is provided, such as figure 1 As shown, the method includes:
[0021] Step 102: Obtain the injection-production condition data related to string erosion of the target well;
[0022] Step 104: digitize the injection-production condition data and input it into the neural network, obtain the information indicating whether the pipe string is eroded outputted by the neural network, and modify the flow velocity in the injection-production condition data multiple ...
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The embodiment of the present invention provides a method and device for determining the critical erosion flow rate of an injection-production string, wherein the method includes: obtaining the injection-production working condition data related to the tubular string erosion of the target well; modifying the injection-production working condition data several times; After the flow rate in the condition data, the injection-production condition data after the modified flow rate is digitized and input into the neural network, and the information indicating whether the pipe string has been eroded at each modified flow rate is respectively obtained, and the current flow rate is output in the neural network No erosion occurs in the lower pipe string, and the neural network outputs the next flow rate. When the lower pipe string is eroded, the current flow rate is determined as the critical erosion flow rate of the target well. The neural network is the injection-production rate of the target well under various working conditions. The working condition data and the information of whether the pipe string is eroded under various working conditions are obtained through training. The neural network is used to input the injection-production working condition data under one working condition, and the output indicates whether the pipe string is eroded under this working condition. Information.
Description
technical field [0001] The invention relates to the technical field of injection-production engineering, in particular to a method and device for determining the critical erosion flow velocity of an injection-production pipe string. Background technique [0002] At present, the size design of gas wells and injection-production well strings should first meet the requirements of gas well proration and injection-production well gas production volume, and at the same time, factors such as pressure loss along the process, critical liquid-carrying flow rate and critical erosion flow rate should be considered comprehensively; among them, Critical erosion flow rate is an important factor limiting the size of production string and injection-production string. The critical erosion flow rate is equal to the product of the critical erosion rate and the cross-sectional area of the string. The size of the pipe string should not be smaller than the size corresponding to the critical ero...
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IPC IPC(8): G06F30/20G06N3/08
CPCG06N3/08G06F30/20
Inventor 王云
Owner PETROCHINA CO LTD