Mathematical model of the functioning of wireless fire monitoring system of the oil and gas industry critical objects

2021 ◽  
Vol 91 ◽  
pp. 8-18
Author(s):  
V. S. Butko ◽  

Introduction. The article presents a mathematical model of the functioning of fire monitoring systems for critical facilities of the oil and gas industry, based on wireless technologies. A multifactor criterion has been developed based on reliability (probability of fail-free operation), noise immunity, service area, efficiency of information transfer, economic feasibility of its use, and the network efficiency. Goals and objectives. Organization of a radio communication network in the fire monitoring system of critical facilities, depending on the required information load and the number of protected facilities in the oil and gas industry. Ensuring continuous monitoring of the security of facilities and timely transmission of information to emergency services. Ensuring the operation of the network to alert the population about possible danger. Methods. To form a multivariate criterion model were used: methods of mathematical modeling of network states to determine the criteria for evaluating a multivariate model, methods of expert assessment to determine the weights of network characteristics, methods of constructing probabilistic systems. Results and its discussion. A generalized criterion has been developed for quantitative assessment of functioning a wireless monitoring system of fire safety of critical facilities in the oil and gas industry based on reliability (probability of failure-free operation), noise immunity, service area, efficiency of information transfer, economic feasibility of its application, and the efficiency of the network. Conclusion. a mathematical model of the functioning of a wireless fire safety monitoring system for critical objects of the oil and gas industry was built based on the modified Jaysuall relations and the provisions of its application were theoretically substantiated, which makes it possible to organize radio communication networks in the fire monitoring system of critical objects, depending on the required information load and the number of protected objects in the oil and gas industry. A generalized (multifactorial) criterion is also proposed to quantitatively assess the functioning of a wireless monitoring system for fire safety of critical facilities in the oil and gas industry and choose the most optimal system in terms of choosing the best technical and operational indicators and economic feasibility. Keywords: oil and gas facilities, critical facilities, wireless monitoring system, queuing system, stream of events, fire safety, mathematical model, fire alarm, communication channels

2020 ◽  
Vol 2020 (1) ◽  
pp. 4-13
Author(s):  
M.I. Kaplin ◽  
◽  
V.M. Makarov ◽  
M.O. Perov ◽  
◽  
...  

2021 ◽  
Author(s):  
Merit P. Ekeregbe

Abstract In an era where cost is a significant component of decision making, every possibility of reducing operational cost in the Oil and Gas industry is a welcome development. The volatile nature of the Oil market creates uncertainty in the industry. One way to manage this uncertainty is by the ability to predict and optimize our operations to reduce all of our cost elements. When cost is planned and predicted as accurately as possible, the operation optimizations can be managed efficiently. Practically, all new drills require CT unloading of the completion or kill fluids to allow the natural flow of the wells. Hitherto, there is no mathematical model that combines information from one of the wells in an unloading dual completion project that can be used to aid decision-making in the other well for the same unloading project and thereby result in an effective cost-saving. Deploying the mathematical model of cost element prediction and optimization can minimize operational unloading costs. The two strings of the dual completion flow from different reservoirs. Still, the link between the two drainages post completion is the kill fluid density, and can aid in cost estimation for optimum benefit. The lesson learned or data acquired from the lifting of the slave reservoir string can be optimized to effectively and efficiently lift the master reservoir string. The decision of first unloading the slave reservoir string is critical for correct prediction and optimization of the ultimate cost. The mathematical model was able to predict the consumable cost elements such as the gallon of nitrogen and time that may be spent on the long string from the correlative analysis of the short string. The more energy is required for unloading the short string and it is the more critical well than the long string because it is the slave string since no consideration as such is given to it when beneficiating the kill fluid to target the long string reservoir pressure with a certain safety overbalance. The rule for the mud weight or the weight of the kill fluid is the highest depth with highest reservoir pressure which is the sand on the long string. With the data from the short string and upper sand reservoir, the lift depth and unloading operation can be optimized to save cost. The short string will incur the higher cost and as such should be lifted last and the optimization can be done with the factor of the LS.


2015 ◽  
Vol 5 (4) ◽  
pp. 115
Author(s):  
Mohamad Danish Anis ◽  
Tauseef Zia Siddiqui

<p>This research paper explores the concept of sustainability and the role played by O&amp;G industry in achieving sustainable development. The authors bring a rational approach in defining the key issues for the O&amp;G sector that affect sustainability as well as try to devise the inherent risks as well as mitigation approaches adopted by these companies. Sustainability is a topic gaining fast repute today. As new conventional oil and gas sources decline, unconventional sources, including shale gas in the US, oil sands in Canada, coal seam gas in Australia, and deep-water offshore wells in Brazil, West Africa and Asia have been identified as key areas with significant reserves potential. Despite the growth potential, sustainability risks such as climate change, safety risks, and community disagreements exert pressure on the economic feasibility of these opportunities.</p><p>The three components of sustainable development: economic, environmental and social, often referred to as the ‘Triple Bottom Line’ or TBL, can be used in evaluating a company’s performance in financial, environmental and social dimensions. These three dimensions of sustainable development, as explained by John Elkington and adopted by Shell’s first sustainability report in 1997, are also commonly referred to as the 3Ps: People, Planet and Profit.</p><p>The paper also focuses on analyzing the various threats that could obstruct sustainable development being carried out by companies in the oil and gas industry. The importance of sustainable economic growth with regards to the oil and gas industry has also been highlighted. The 3Ps explained above can be used to categorize the key issues/risks that impact sustainability. The researchers concluded that the sustainability programs followed by oil and gas industry are not satisfactory; however there is strong evidence of improvement in near future. Towards the end, the researchers have tried to list the Strategies and Methodologies for enhancing the effectiveness of sustainability strategies and programs for the sector.</p>


2021 ◽  
Vol 2 (1) ◽  
pp. 23-28
Author(s):  
Bаkhtiyar. Abdugafurovich Mavlyankariev ◽  

A comprehensive analysis of the state of fire safety of the backbone, oil and gas industry of the republic is considered. Options for improving the technical support of individual, fire-and-explosion-hazardous industries in the industry and specialized training of specialists are offered.Keywords: fire safety, anti-terrorist security, energy saturation, system analysis, risks


Author(s):  
Ernie Mazuin Mohd Yusof ◽  
Mohd Ismail Yusof ◽  
Rafidah Ali ◽  
Izzat Hilmi Harjimi ◽  
Qasidah Kamarul Bahrin

<span>In oil and gas industry, productivity is very important as the industry involves high cost and can be considered as a large-scale industry. Therefore, time and budget should be kept minimal to avoid loss to the oil and gas company. An example of lack of productivity in the industry is there are many complaints in the oil and gas industry that welders do not perform their job on time. Therefore, this project discussed about a system that can be used to monitor these welding stations. This system is important because it can help supervisors track the welding works from afar or anywhere using internet of things (IoT). To achieve that, a system must consist of hardware and software that are capable of connecting to the internet and monitor the welding works. In this project, the hardware chosen were Arduino Uno for data processing, ESP8266 to connect the microcontroller to the internet, voltage sensor to detect the voltage of the welding machine and a website to show the data taken. Other than that, this system was able to warn the welder of overvoltage of the welding machine. Thus, the system solved the problem of welders not performing their job on time. Supervisors were also able to monitor the job of welders to ensure maximum productivity. Based on the testing done on the system, the prototype was able to work as intended. The welding station monitoring system was able to detect welding usage, measure voltage values of welding and send the data to IoT for monitoring.</span>


2018 ◽  
Vol 224 ◽  
pp. 04022 ◽  
Author(s):  
Rail Nasibullin ◽  
Sergey Valeyev ◽  
Ainur Galeyev

To protect the technological furnaces of the oil and gas industry from the penetration into their combustion zone combustible gases that are accidentally released at the production site, steam curtains are used. In the open press, there are practically no methods that allow to evaluate the efficiency of steam curtains, so the solution of this issue seems to be topical. In this paper, we checked the adequacy of the mathematical model developed by the authors of this article. This model describes the operation of the curtain, the movement of the vapor-gas cloud in space, and the scattering of the cloud by the curtain. The verification was carried out by comparing the results of the simulation with the results of laboratory experiments of third-party authors.


2018 ◽  
Vol 27 (12) ◽  
pp. 49-55 ◽  
Author(s):  
A.V. Kalach ◽  
◽  
E.V. Kalach ◽  
A.V. Vytovtov ◽  
◽  
...  

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