IoT-Enabled Real-Time Production Performance Analysis and Exception Diagnosis Model

2016 ◽  
Vol 13 (3) ◽  
pp. 1318-1332 ◽  
Author(s):  
Yingfeng Zhang ◽  
Wenbo Wang ◽  
Naiqi Wu ◽  
Cheng Qian
Keyword(s):  
Performance Analysis ◽  
Real Time ◽  
Production Performance ◽  
Time Production ◽  
Diagnosis Model ◽  
Exception Diagnosis

scholarly journals Real-Time Shop-Floor Production Performance Analysis Method for the Internet of Manufacturing Things

2014 ◽  
Vol 6 ◽  
pp. 270749 ◽  
Author(s):  
Yingfeng Zhang ◽  
Wenbo Wang ◽  
Sichao Liu ◽  
Gongnan Xie
Keyword(s):  
Performance Analysis ◽  
Real Time ◽  
Production Performance ◽  
Shop Floor ◽  
Critical Event ◽  
The Internet ◽  
New Paradigm ◽  
Time Production ◽  
The Real ◽  
Sequence Relationships

Typical challenges that manufacturing enterprises are facing now are compounded by lack of timely, accurate, and consistent information of manufacturing resources. As a result, it is difficult to analyze the real-time production performance for the shop-floor. In this paper, the definition and overall architecture of the internet of manufacturing things is presented to provide a new paradigm by extending the techniques of internet of things (IoT) to manufacturing field. Under this architecture, the real-time primitive events which occurred at different manufacturing things such as operators, machines, pallets, key materials, and so forth can be easily sensed. Based on these distributed primitive events, a critical event model is established to automatically analyze the real-time production performance. Here, the up-level production performance analysis is regarded as a series of critical events, and the real-time value of each critical event can be easily calculated according to the logical and sequence relationships among these multilevel events. Finally, a case study is used to illustrate how to apply the designed methods to analyze the real-time production performance.

scholarly journals Study on Production Optimization Method of Fractured Reservoir Based on Connectivity Model

2021 ◽  
Vol 9 ◽  
Author(s):  
Dajian Li ◽  
Zhenfeng Zhao ◽  
Bai Wang ◽  
Haitao Yang ◽  
Wenhao Cui ◽  
...  
Keyword(s):  
Real Time ◽  
Net Present Value ◽  
Fractured Reservoirs ◽  
Production Optimization ◽  
Production Performance ◽  
Time Production ◽  
The Real ◽  
Production Scheme ◽  
Connectivity Model ◽  
Simulation Time

Due to the extensive development of fractures and serious heterogeneity in fractured reservoirs, it is difficult for the traditional numerical simulation method to invert its geology, which greatly limits the efficiency and accuracy of simulation and cannot realize the real-time optimization of production scheme. The connectivity model can only consider the two characteristic parameters of conductivity and connectivity volume, which does not involve complex and rigorous geological modeling. It can quickly and accurately reflect the state of the real reservoir, greatly reducing the simulation time, and is suitable for real-time production performance prediction of the reservoir. Due to the large difference in conductivity of fractured reservoirs, the difficulty of fitting increases. In this paper, the connectivity model is first applied to fractured reservoirs to realize the production dynamic simulation of fractured reservoirs. The optimization principle is used to optimize the injection-production scheme with the economic net present value as the objective function. In order to verify the method, the connectivity model is applied to Mu 30 of Changqing Oilfield in this paper. The results show that this method can effectively reflect the real production situation of the oilfield and the connectivity of the reservoir, and the simulation time is relatively fast. After optimization, the cumulative oil production of the reservoir increases by 8.1%, the cumulative water injection decreases by 2.3%, and the rising rate of water cut decreases by 58.8%, indicating that the connectivity model can realize the real-time production optimization of the reservoir.

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