Emergency Simulation Exercise System Research Based on the Dynamic Information Repository

2013 ◽  
Vol 846-847 ◽  
pp. 1546-1549
Author(s):  
Chun Bo Dong
Keyword(s):  
Data Processing ◽  
Dynamic Environment ◽  
Static Model ◽  
Simulation System ◽  
System Research ◽  
Timely Manner ◽  
Dynamic Information ◽  
Static Data ◽  
Drilling Simulation ◽  
Information Repository

The existing emergency virtual drilling simulation system is built on a set or more sets of static database. Case is extracted from the database or randomly generated from the database according to the condition system.It is basicly static data. The happening and development of the emergency is of great uncertainty, and it is constantly changing with the change of the environment and the rescue process. This article builds a set of dynamic database in the original virtual exercise simulation system, in order to join accident flexibly in the event processing node, and simulate dynamic environment conditions at that time in a timely manner. Data processing model that is by the combination of dynamic and static model can simulate disaster occurrence and development more realisticly and accurately.

Modeling of Multi-Agent System for Drilling Simulation

2011 ◽  
Vol 383-390 ◽  
pp. 1555-1561
Author(s):  
Wu Li Wang ◽  
Yan Jiang Wang
Keyword(s):  
Simulation System ◽  
Drilling Process ◽  
Multi Agent System ◽  
Agent System ◽  
Oil Drilling ◽  
Well Control ◽  
Existing Problems ◽  
System A ◽  
Multi Agent ◽  
Drilling Simulation

In view of the characteristics of the oil drilling process and the existing problems of traditional simulation system, a new distributed drilling simulation model was established based on Multi-Agent system (MAS) technology. By means of autonomous, cooperative and reactive characteristic of Agent, the drilling laws and phenomenon can be reflected promptly and accurately under any circumstances. The MAS modeling for oil drilling simulation, the structure and knowledge representation of each Agent and the communication among Agents are described in detail. Finally, an Agent-based normal drilling well control simulation training example was given. The simulation results show that the simulator based on Multi-Agent system has better performances than traditional drilling simulators, and enhances the integrated training function of the drilling simulation system.

scholarly journals On-site Trip Planning Support System Based on Dynamic Information on Tourism Spots

Smart Cities ◽  
2020 ◽  
Vol 3 (2) ◽  
pp. 212-231 ◽  
Author(s):  
Masato Hidaka ◽  
Yuki Kanaya ◽  
Shogo Kawanaka ◽  
Yuki Matsuda ◽  
Yugo Nakamura ◽  
...  
Keyword(s):  
Timely Manner ◽  
Dynamic Information ◽  
Trip Planning ◽  
Preference Information ◽  
Static Information ◽  
Site Use ◽  
Drastic Increase ◽  
Heavy Burden ◽  
Route Information ◽  
Changes Over Time

Recently, due to the drastic increase in foreign tourists coming to Japan, there has been a demand to provide smart tourism services that enable inbound tourists to comfortably enjoy sightseeing. To provide satisfactory experiences for tourists, it is desirable to provide tourist information in a timely manner by considering dynamic information, which is information that changes over time, such as current congestion information in destination spots and travel route information, in addition to static information, such as the preferences and profiles of tourists. However, in many existing systems, serious problems occur, such as (1) a lack of support for on-site use, (2) a lack of consideration of dynamic information, and (3) heavy burden on tourists. In this paper, we propose a novel system that can provide tourism plans for tourism spots in a timely manner. The proposed system consists of the following two key mechanisms: (A) A mechanism for acquiring preference information from tourists (including preference on dynamic information); (B) a curation mechanism for realizing on-site tourism. To demonstrate the effectiveness of the proposed system, we carried out evaluation experiments utilizing real tourism spots and simulations. As a result, we obtained the following primary findings: (1) On-site tourism spot recommendation is effective for tourists who do not make detailed tourism plans before sightseeing; (2) preference information for participants can be reflected in the tourism spot recommendation while massively reducing the burden on participants; (3) it is possible to obtain a higher satisfaction level than is achieved with model courses, which are often used for sightseeing.

Based on the Airborne SAR - ATI - GMTI System Research

2013 ◽  
Vol 380-384 ◽  
pp. 3938-3941 ◽  
Author(s):  
Wei Dong Zhang ◽  
Nuan Song ◽  
Yi Wu
Keyword(s):  
Data Processing ◽  
Real Time ◽  
Moving Target ◽  
System Research ◽  
The Real ◽  
Dual Channel ◽  
Movement Parameter ◽  
Sar Data ◽  
Airborne Sar ◽  
Interference Phase

The actual airborne dual-channel data is disposed to indicate the moving target by ATI. In order to solve the problems caused by the unideal movement in the flight and other engineering factors which influence the GMTI, the paper presents the method to compensate the interference phase base on calculate the phase centroid of every sub-image. Besides, this paper simplifies some data processing to realize the real-time GMTI and improves the efficiency. With this method, the actual SAR data is proceeded to get the targets position and movement parameter. Results prove the validity of the approach.

Geophysical Aspects of Reservoir Characterization of Tight Gas Play in the Dnieper-Donets Basin

2021 ◽  
Author(s):  
Rustem Valiakhmetov ◽  
Andrea Murineddu ◽  
Murat Zhiyenkulov ◽  
Viktor Maliar ◽  
Viktor Bugriy ◽  
...  
Keyword(s):  
Data Processing ◽  
Seismic Data ◽  
Reservoir Characterization ◽  
Seismic Attributes ◽  
Static Model ◽  
Donets Basin ◽  
Tight Gas ◽  
Seismic Data Processing ◽  
Exploration Well

Abstract The objective of this work is to describe a comprehensive approach integrating seismic data processing and sets of wireline logs for reservoir characterization of one of the tight gas plays of the Dnieper-Donets basin. This paper intends to discuss a case study from seismic data processing, integrating seismic attributes with formation properties from logs in a geocellular model for sweet spot selection and risk analysis. The workflow during the project included the following steps.Seismic data 3D processing, including 5D interpolation and PSTM migration.Interpretation of limited log data from 4 exploration and appraisal wells.Seismic interpretation and inversion.Building a static model of the field.Recommendations for drilling locations.Evaluation of the drilled well to verify input parameters of the initial model. The static model integrated all available subsurface data and used inverted seismic attributes calibrated to the available logs to constrain the property modelling. Then various deterministic and stochastic approaches were used for facies modeling and estimation of gas-in-place volume. Integrating all the available data provides insights for better understating the reservoir distribution and provided recommendations for drilling locations. Based on the combination of the geocellular model, seismic attributes and seismic inversion results, the operator drilled an exploration well. The modern set of petrophysical logs acquired in the recently drilled well enforced prior knowledge and delivered a robust picture of the tight gas reservoir. The results from the drilled well matched predicted formation properties very closely, which added confidence in the technical approach applied in this study and similar studies that followed later. It is the fork in the road moment for the Dnieper-Donetsk basin with huge tight gas potential in the region that inspires for exploration of other prospects and plays. A synergy of analytical methods with a combination of seismic processing, geomodeling, and reservoir characterization approaches allowed accurate selection of the drilling targets with minimum risk of "dry hole" that has been vindicated by successful drilling outcome in a new exploration well.

scholarly journals Dynamic Evolution of Requirement Goal Deployed on Network Environment

2013 ◽  
Vol 756-759 ◽  
pp. 2197-2203
Author(s):  
Yang Liu ◽  
Jin Zhao Wu
Keyword(s):  
Software Development ◽  
Early Stage ◽  
Dynamic Environment ◽  
Dynamic Evolution ◽  
Network Environment ◽  
Model Evolution ◽  
Dynamic Information ◽  
Inconsistent Information ◽  
Network Update

Under the network environment, it inevitably exists inconsistency and dynamic information in users requirements because of the complicated and volatile network, update, restructuring and so on. This paper studies how to handle the inconsistent information and keep correctness of the requirement goals from the users. It also provides relevant rules of model evolution under dynamic environment. With maximal consistent set, the inconsistent information can be reserved to keep the indeterminacy in the early stage and expand the function of the software. It is helpful for the next step of the software development.

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