Southwest Petroleum University

Sichuan University

Tao Li

Yi He

Qian Li

Xiaohua Tan

Xiao Guo

Xian Peng

Ming Zhou

Jingjing Ma

Changqing Jia

Pengkun Wang

Bo Zhang

Xiaoping Li

Fei Zhang

Lin Chen

Yan Zhang

Li Zhou

Linkai Li

Lu Liu

Mingqing Kui

Longxin Li

Zhenglin Mao

Bing Kong

Honglin Lu

Yilong Li

Zihan Zhao

Chan Yang

Zitong Zeng

Weichang Chen

Nan Lin

Beibei Li

Xuan Li

Yonggang Liang

Guocheng Rao

Zhenwei Wen

Jiajia Shi

Jin Fang

Xueyan Zhou

Yuankai Ouyang

Shilin Huang

Xiaoxia Ma

Lin Yuan

Dong Hui

Guowei Zhan

Binliang Jiang

Desheng Jiang

Qilin Liu

Hanyuan Huang

Heng Xiao

Xucheng Li

Yang Qing

Songcen Li

Hang Zhang

Qingyun Du

Lan Wang

Yuchuan Zhu

Jian Cao

Fu Hou

Miaofeng Cui

Haoran Hu

Daijin Zhuang

Xixiang Liu

The present disclosure relates to a prediction method for constant production decline of a water-producing gas well in a highly heterogeneous reservoir. The prediction method mainly includes: collecting related data of a target water-producing gas well, fitting to obtain a water-drive constant and a water invasion constant, fitting dynamic reserves by adopting a Blasingame plotting method, conducting fitting by adopting a dual-medium model to obtain an elastic storativity ratio and an interporosity flow coefficient, calculating a reservoir heterogeneity coefficient, obtaining a flowing bottomhole pressure at the later stage of stable production, calculating formation pressure of a new day through quantitative production of the target water-producing gas well with 1 day as an iteration stride, performing iteration until the formation pressure is less than or equal to the formation pressure at the end of stable production, and drawing a prediction curve about constant production decline of the target water-producing gas well.

Prediction method for constant production decline of water-producing gas well in highly heterogeneous reservoir

The present disclosure relates to a method for predicting an amount of water-sealed gas in a high-sulfur water-bearing gas reservoir. The method solves the problem that no method has yet been proposed for predicting the amount of water-sealed gas in a high-sulfur water-bearing gas reservoir. According to the technical solution, the method includes: considering that the volume of the gas reservoir does not change during the production of the constant-volume gas reservoir, deriving, based on a material balance method, a material balance equation of the high-sulfur water-bearing gas reservoir in consideration of water-sealed gas and water-soluble gas, solving and drawing a chart of water-sealed gas in the high-sulfur water-bearing gas reservoir by an iterative algorithm, obtaining a recovery factor of the high-sulfur water-bearing gas reservoir in consideration of water-sealed gas and water-soluble gas, and further obtaining the amount of water-seal gas in the high-sulfur water-bearing gas reservoir.

Method for predicting amount of water-sealed gas in high-sulfur water-bearing gas reservoir

The present invention relates to dental medical instruments, and specifically discloses an automatic grinding drill device for oral caries, including a mounting frame. Two retainers are arranged on the mounting frame, the bottom of the mounting frame is connected with a support plate through drive assemblies, a drill bit assembly is arranged at the bottom of the support plate, and a visual recognition module is also arranged on the support plate. The present invention has the advantage that the retainers keep a real-time relative static state with teeth of a patient during use, needing no frequent correction, so that operation steps are simplified.

Automatic grinding drill device for oral caries

An X-ray-based test device for a plugging removal effect of a sulfur dissolvent on a sulfur deposition rock sample includes a constant speed and pressure pump, a first intermediate container, a second intermediate container, a first pressure transmitter, a core holder, a second pressure transmitter, a first electric pump, a third intermediate container, a back-pressure valve, a gas flow meter, an HS neutralization tank, a second electric pump, a back-pressure transmitter, a confining pressure transmitter, an X-ray generator, an X-ray detector and a thermotank. A sour gas sample is placed in the first intermediate container, and nitrogen is filled in the second intermediate container. The sulfur dissolvent is placed into the third intermediate container. A confining pressure inlet is formed in the core holder. The test device may be used for evaluating the plugging removal effect of the sulfur dissolvent injected into the sulfur deposition rock sample.

X-ray-based test device and method for plugging removal effect of sulfur dissolvent on sulfur deposition rock sample

The invention discloses a parallel device and method for high-precision determination of sulfur solubility under multiple influencing factors, and the device comprises an elemental sulfur absorption system, an elemental sulfur saturation system and a sulfur content determination system. The elemental sulfur absorption system is used to remove the dissolved elemental sulfur in the sour gas. The elemental sulfur saturation system is arranged in parallel to saturate sour gases at different temperatures and pressures at the same time. The elemental sulfur absorption system and the elemental sulfur saturation system are arranged in parallel. The sulfur content determination system is used to determine the total sulfur content of the parallel elemental sulfur saturation system and the elemental sulfur content in the sour gas after absorbing the elemental sulfur under the same conditions.

Parallel device and method for high-precision determination of sulfur solubility under multiple influencing factors

A few-shot learning based intrusion detection method of an industrial control system, including: dividing an original data set extracted from a data flow of the industrial control system into a detection model training set and a basic model training set; using principal component analysis method to reduce dimension of a continuous data matrix M in the two training sets; using one-hot encoding method to process a discrete data matrix V in the two training sets; using processed basic model training set to construct few-shot training tasks required for basic model training; training a basic model based on convolutional neural networks with help of constructed few-shot training tasks; based on trained basic model, using processed detection model training set for further training to obtain the detection model; effectively detecting attacks in real-time data streams with help of center vectors of three different types of samples in the detection model.

Few-shot learning based intrusion detection method of industrial control system

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Chengdu, China

Tao Li