BP neural network-based pre-drilling mud leakage prediction method for complex well conditions

A technology of BP neural network and prediction method is applied in the field of mud loss prediction before drilling in complex well conditions based on BP neural network, which can solve the problems of difficulty in accurately predicting well conditions and mud loss, so as to reduce the probability of drilling time and save engineering. time, the effect of increasing implementation efficiency

Pending Publication Date: 2022-04-15
CHINA UNIV OF GEOSCIENCES (BEIJING)
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Problems solved by technology

[0004] For this reason, the present invention provides a method for predicting mud loss before drilling in complex well conditions based on BP neural network, so as to solve the problems that it is difficult to accurately predict the conditions in the well and prone to mud loss before drilling in complex well conditions.

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  • BP neural network-based pre-drilling mud leakage prediction method for complex well conditions
  • BP neural network-based pre-drilling mud leakage prediction method for complex well conditions
  • BP neural network-based pre-drilling mud leakage prediction method for complex well conditions

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Embodiment

[0031] refer to figure 1 , this embodiment discloses a method for predicting mud loss before drilling in complex well conditions based on BP neural network, the method is:

[0032] S1. Collect historical seismic attribute data in the target area, engineering and geological data corresponding to leakage cases;

[0033] S2. Standardize the collected data, and convert all the data in order to facilitate the implementation of the method;

[0034] S3. Taking the preprocessed historical seismic data as input, taking the leakage situation as the output, and taking the actual leakage state as the standard value, supervise the training and optimize to obtain the leakage prediction neural network model;

[0035] S4. Input the real-time seismic data of the target area, and the model automatically judges the leakage situation corresponding to each depth in this area.

[0036] refer to figure 2 is a schematic diagram of the BP network operation structure in the technical solution of th...

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Abstract

The invention discloses a BP neural network-based pre-drilling mud leakage prediction method for complex well conditions. The method comprises the steps of S1, collecting historical seismic attribute data of a target area and engineering and geological data information corresponding to leakage cases; s2, performing standardization processing on the collected data, and performing conversion processing on all the data in order to facilitate implementation of the method; s3, taking the preprocessed historical seismic data as input, taking a leakage condition as output, taking a real leakage state as a standard value, and performing supervised training and optimization to obtain a leakage prediction neural network model; and S4, inputting instant seismic data of a target area, and automatically judging the leakage condition corresponding to each depth of the area by the model. The problems that in-well conditions are difficult to accurately predict before drilling under existing complex well conditions, and mud leakage is prone to occurring are solved.

Description

technical field [0001] The invention relates to the technical field of drilling construction, in particular to a method for predicting mud leakage before drilling in complex well conditions based on a BP neural network. Background technique [0002] During the drilling and production process, lost circulation often occurs when drilling into a zone with fracture development and / or a zone with karst cave development. Drilling in formations where lost circulation is prone to occur is a relatively complicated drilling work. Drilling in the above formations is very easy to induce major downhole accidents such as blowout and pipe sticking. More importantly, drilling engineering accidents directly affect the discovery and protection of oil and gas layers, resulting in a decline in the effectiveness of exploration and development. For example, the currently commonly used technical means in the Tazhong North Slope area of ​​the Tarim Basin is to test and analyze the lost circulation...

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Application Information

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IPC IPC(8): G06F30/27G06N3/04G06N3/08
Inventor 丁文龙石铄赵展杨瑞强赵腾史帅雨
Owner CHINA UNIV OF GEOSCIENCES (BEIJING)
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