Intelligent early warning method and system for blowout, equipment and storage medium
An intelligent and early warning model technology, applied in neural learning methods, character and pattern recognition, design optimization/simulation, etc., can solve the problems of lack of timeliness, comprehensiveness and transferability, and achieve the effect of ensuring accuracy
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Embodiment 1
[0051] Such as figure 1 As shown, a kind of blowout intelligent warning method provided in this embodiment comprises the following steps:
[0052] Step 1: Obtain complete raw oil and gas drilling process data;
[0053] Step 2: Construct a neural network-based blowout early warning model;
[0054] Step 3: Preprocess the obtained complete original oil and gas drilling process data to obtain a training data set, and use the training data set to train the blowout early warning model based on neural network;
[0055] Step 4: Test and verify the trained blowout warning model in the real scene, and put the blowout warning model that meets the field application standards into the application of the drilling site to realize the intelligent early warning of blowout.
[0056]Preferably, in the above step 2, the neural network-based blowout warning model constructed includes: a neural network layer, an expert network layer and a voting output layer. Wherein, the neural network layer in...
Embodiment 2
[0078] Embodiment 1 above provides an intelligent blowout early warning method, and correspondingly, this embodiment provides an intelligent blowout early warning system. The early warning system provided in this embodiment can implement the blowout intelligent 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.
[0079] The blowout intelligent warning system provided by the present emb...
Embodiment 3
[0085] This embodiment provides a processing device corresponding to the blowout intelligent early warning method provided in Embodiment 1. The processing device may 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 identification method of embodiment 1.
[0086] 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 blowout intelligent early warning method provided in Embodiment 1 when running the computer program.
[0087] 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 memor...
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