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Drilling overflow early warning method, system and device and storage medium

A drilling and overflow technology, applied in earthwork drilling, wellbore/well components, design optimization/simulation, etc., can solve problems such as inability to establish an overflow early warning model, complexity, random nonlinearity, etc.

Pending Publication Date: 2021-10-08
CNOOC TIANJIN BRANCH +1
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  • Summary
  • Abstract
  • Description
  • Claims
  • Application Information

AI Technical Summary

Problems solved by technology

However, because the occurrence of overflow is affected by many factors such as formation pressure and bottom hole pressure, and has the characteristics of complexity, randomness and nonlinearity, it is currently impossible to establish an accurate overflow early warning model

Method used

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  • Drilling overflow early warning method, system and device and storage medium
  • Drilling overflow early warning method, system and device and storage medium
  • Drilling overflow early warning method, system and device and storage medium

Examples

Experimental program
Comparison scheme
Effect test

Embodiment 1

[0046] Such as figure 1 As shown, a kind of drilling overflow warning method provided by the present embodiment comprises the following steps:

[0047] Step 1: Obtain the original drilling data set, and obtain a training set and a test set based on the obtained original drilling data set;

[0048] Step 2: Determine the optimal parameters of the random forest algorithm by combining grid search and cross-validation, and establish an overflow warning model based on the optimal parameters;

[0049] Step 3: Train the overflow early warning model in step 2 based on the training set in step 1, evaluate the effect of the overflow early warning model based on the test set, and apply the overflow early warning model with the best effect to the actual drilling scene Overflow warning.

[0050] Preferably, in the above step 1, the original drilling data set is obtained, and the method for obtaining a training set and a test set based on the obtained original drilling data set includes th...

Embodiment 2

[0073] Embodiment 1 above provides a drilling overflow early warning method, and correspondingly, this embodiment provides a drilling overflow early warning system. The identification system provided in this embodiment can implement the drilling overflow early warning method in embodiment 1, and the early warning system can be realized by software, hardware or a combination of software and hardware. For example, the early warning system may include integrated or separate functional modules or functional units to execute corresponding steps in the methods of Embodiment 1. Since the early warning system of this embodiment is basically similar to the method embodiment, the description process of this embodiment is relatively simple. For relevant parts, please refer to the part of the description of Embodiment 1. The embodiment of the early warning system of this embodiment is only illustrative of.

[0074] The drilling overflow early warning system provided in this embodiment in...

Embodiment 3

[0079] This embodiment provides a processing device corresponding to the drilling overflow warning method provided in Embodiment 1. The processing device can be a processing device for a client, such as a mobile phone, a notebook computer, a tablet computer, a desktop computer, etc., to Execute the early warning method of Example 1.

[0080] The processing device includes a processor, a memory, a communication interface and a bus, and the processor, the memory and the communication interface are connected through the bus to complete mutual communication. A computer program that can run on the processor is stored in the memory, and the processor executes the drilling overflow early warning method provided in Embodiment 1 when running the computer program.

[0081] In some implementations, the memory may be a high-speed random access memory (RAM: Random Access Memory), and may also include a non-volatile memory (non-volatile memory), such as at least one disk memory.

[0082] I...

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Abstract

The invention relates to a drilling overflow early warning method, system and device and a storage medium, and the method comprises the following steps of: obtaining an original drilling data set, and obtaining a training set and a test set based on the obtained original drilling data set; determining optimal parameters of a random forest algorithm by using a method of combining grid search and cross validation, and establishing an overflow early warning model based on the optimal parameters; and training the overflow early warning model based on the training set, evaluating the effect of the overflow early warning model based on the test set, and applying the overflow early warning model with the best effect to an actual drilling scene for overflow early warning. The method can be widely applied to the fields of marine oil and gas development and big data application.

Description

technical field [0001] The invention relates to a method, system, device and storage medium for overflow early warning during deepwater oil and gas drilling, and belongs to the field of offshore oil and gas development and big data applications. Background technique [0002] Due to the complex and changeable drilling environment and frequent drilling accidents, oil drilling engineering is a dangerous and costly system engineering. Overflow is one of the most frequent and most harmful drilling accidents in oil drilling construction. It not only increases This increases the difficulty of drilling, and if the necessary well control measures are not taken, it will lead to blowout or even blowout out of control, resulting in the failure of the wellbore and even a large number of casualties. [0003] If the overflow warning can be carried out timely and accurately, the loss can be greatly reduced and a safe and efficient drilling project can be realized. However, because the occu...

Claims

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Application Information

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IPC IPC(8): E21B47/00E21B47/06G06F30/27
CPCE21B47/00E21B47/06G06F30/27Y02A10/40
Inventor 李中范白涛殷志明袁俊亮耿亚楠罗洪斌任美鹏李滨李永华赵瑞东
Owner CNOOC TIANJIN BRANCH
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