scholarly journals Standard as the basis for a corrosion education and certification international. Establishment of an international guide standard for Corrosion Management in industry

2019 ◽  
Vol 121 ◽  
pp. 05005
Author(s):  
Agatha Swierczynski
Keyword(s):  
Drinking Water ◽  
Control System ◽  
Control Systems ◽  
Oil And Gas ◽  
Combustion Products ◽  
Economic Losses ◽  
Oil And Gas Pipelines ◽  
Large Production ◽  
Industry Sectors ◽  
Production Losses

Corrosion is still responsible for large economic losses in many and very different industry sectors like e.g. marine, refinery and petrochemistry, oil and gas pipelines or of drinking water and appearing by hot gases and combustion products in steel and concrete constructions. There are only some examples chosen. The corrosion phenomena are still a huge astonishment because of some costly repair processes and because of large production losses. The corrosion control systems existing by now help to avoid or to minimize these losses but the question still is, if the existing control system can be working better or longer. If yes, what a key can optimize the corrosion protection depending on the sector’s requirements.

COMPARISON OF OWNER AND CONTRACTOR PERSPECTIVES IN ESTABLISHING COST CONTROL STRUCTURE

2019 ◽  
Vol 6 (1) ◽  
Author(s):  
Ruveyda Komurlu ◽  
Akin Er
Keyword(s):  
Control System ◽  
Control Systems ◽  
Oil And Gas ◽  
Cost Control ◽  
Control Structure ◽  
Control Function ◽  
Cost Management ◽  
Project Control ◽  
The Cost

Cost control is a part of cost management which is carried out by the project owner and the contractor throughout a project. However, the structures of the control function developed by each party generally differ since the purpose of the function and the level of the structure are not exactly the same. Contractors have several advantages while building a cost control system such as more detailed information about the project, more background, more dedicated personnel, specifically developed software etc. Therefore, contractors have a broader vision on the issue. Owners need to utilize cost control systems not only for common reasons but also due to some specific necessities. Unlike contractors, owners have to capitalize projects just before they put their investments into operation. This paper intends to focus the necessities prioritized by the owners and contractors on the issue. A comparison will be made to distinguish the differences between the cost perspectives of project owners and contractors. An assessment will be done of the matters that owners pay attention while establishing a cost control structure in light of the experiences practiced in oil and gas projects. Thus, the important points which should be better to consider by the owners' project control teams will be advised.

scholarly journals A Comparison of Hazards and Efficiencies of Conventional and Adaptive Control Algorithms Using Systems-Theoretic Process Analysis

2019 ◽  
Vol 273 ◽  
pp. 02006
Author(s):  
Sveinung Johan Ohrem ◽  
HyungJu Kim ◽  
Mary Ann Lundteigen ◽  
Christian Holden
Keyword(s):  
Control System ◽  
Control Systems ◽  
Oil And Gas ◽  
Process Analysis ◽  
Hazard Analysis ◽  
Hazard Identification ◽  
Pid Controllers ◽  
Test Case ◽  
Operating Region ◽  
Mixed Oil

Control systems are an important and increasingly complex part of most industrial and non-industrial systems. As such, identifying and handling associated risks is increasingly important. Systems- Theoretic Process Analysis (STPA) is a relatively new hazard identification method developed to analyze modern, complex control systems. While traditional hazard analysis methods mainly focus on the failures of a system, STPA focuses on interactions among control commands and environmental conditions, so that potential non-failure problems, mainly caused by unsafe control actions, can be identified. Proportional-Integral-Derivative (PID) controllers are the most common conventional controllers (CCs) and are widely used in industry due to their simplicity. PID controllers are tuned for operation and based on the system behaviour, in a certain limited operating region. If the behavior and/or operating region of a system changes over time, the PID controller requires retuning to perform as desired and prevent loss of production, or accidents, due to inadequate control. Adaptive controllers (ACs) are able to self-adjust and adapt to changes in the system parameters and operating region, such that the overall control task is performed without the need for continuous re-tuning by an operator. The tuning of an AC is done once, at the time of implementation. This can be very helpful for both the efficiency and the safety of the control system. The interactions between the operator and the control system are reduced when the controller is able to self-adjust, potentially reducing the number of hazards. On the other hand, the complexity of ACs may introduce new kinds of hazards that do not exist when using CCs. In this paper, we compare CCs and ACs from both a control and a safety perspective using STPA. As a test case, we compare the efficiencies and hazards of a CC, and an AC applied to a pipeline-riser system subject to slug flow, a hazardous phenomenon occurring in mixed oil and gas pipes. This phenomenon is difficult to control since the behaviour changes drastically with different flow conditions.

scholarly journals Investigation of the Possibility of Building a Neural Fuzzy Logic Controller with Discrete Terms for Controlling and Automating Oil and Gas Engineering Facilities

2021 ◽  
Vol 19 (3) ◽  
pp. 105-110
Author(s):  
A. M. Sagdatullin ◽  
Keyword(s):  
Neural Network ◽  
Fuzzy Logic ◽  
Control System ◽  
Fuzzy Control ◽  
Control Systems ◽  
Fuzzy Logic Controller ◽  
Oil And Gas ◽  
Fuzzy Controller ◽  
Neuro Fuzzy ◽  
Classical Control

The issue of increasing the efficiency of functioning of classical control systems for technological processes and objects of oil and gas engineering is investigated. The relevance of this topic lies in the need to improve the quality of the control systems for the production and transportation of oil and gas. The purpose of the scientific work is to develop a neuro-fuzzy logic controller with discrete terms for the control and automation of pumping units and pumping stations. It is noted that fuzzy logic, neural network algorithms, together with control methods based on adaptation and synthesis of control objects, make it possible to learn the automation system and work under conditions of uncertainty. Methods for constructing classical control systems are studied, the advantages and disadvantages of fuzzy controllers, as the main control system, are analyzed. A method for constructing a control system based on a neuro-fuzzy controller with discrete terms in conditions of uncertainty and dynamic parameters of the process is proposed. The positive features of the proposed regulator include a combination of fuzzy reasoning about a technological object and mathematical predictive models, a fuzzy control system gains the possibility of subjective description based on neural network structures, as well as adaptation to the characteristics of the object. The graph of dependence for the term-set of the controlled parameter on the degree of membership is presented. A possible implementation of tracking the triggering of one of the rules of the neuro-fuzzy system in the format of functional block diagrams is presented. The process of forming an expert knowledge base in a neuro-fuzzy control system is considered. For analysis, a graph of the dependence of the output parameter values is shown. According to the results obtained, the deviation of the values for the model and the real process does not exceed 18%, which allows us to speak of a fairly stable operation of the neuro-fuzzy controller in automatic control systems.

An Oil and Gas Pipeline Accident Model Based on Failure of Generalized Management

2014 ◽  
Vol 635-637 ◽  
pp. 478-483
Author(s):  
Shu Jiang ◽  
Li Jing Zhang ◽  
Gang Tao ◽  
Zhong Yu Wang
Keyword(s):  
Control System ◽  
Management System ◽  
Oil And Gas ◽  
Safety Management ◽  
Accident Prevention ◽  
Gas Pipeline ◽  
Software Environment ◽  
Model Based ◽  
Oil And Gas Pipelines ◽  
Pipeline Safety

With the arrival of China's oil and gas pipeline network era, the security of oil and gas pipelines confront great challenges. Scientific pipeline safety management methods and concepts are needed. In this paper the SHEM model which is composed of hardware, software, environment and management is put forward to explain the cause of oil and gas pipeline accident. According to the control system of management failure, the oil and gas pipeline accident model based on failure of generalized management is established to provide effective methods for accident prevention and construction of safety management system for oil and gas pipeline.

scholarly journals EFFECT OF IMPLEMENTATION OF BELIEF SYSTEM AND INTERACTIVE CONTROL SYSTEM ON ECONOMIC PERFORMANCE WITH ENVIRONMENT PERFORMANCE AS MODERATOR

2020 ◽  
Vol 2 (2) ◽  
pp. 103
Author(s):  
Tauperta Siregar
Keyword(s):  
Control System ◽  
Control Systems ◽  
Economic Performance ◽  
Significant Relationship ◽  
Environmental Performance ◽  
Oil And Gas ◽  
Belief Systems ◽  
Belief System ◽  
Test Reliability ◽  
Interactive Control

<p>The purpose of this study was to determine whether there is an influence of the application of belief systems and interactive control systems on economic performance with environmental performance as a moderating factor. This research was conducted at companies engaged in mining and oil and gas and registered as participants in the PROPER for the last 10 years. The independent variables of this research are belief system and interactive control system. The dependent variable of this study is economic performance. Supporting variables (moderating) are environmental performance. The population in this study are mining and oil and gas companies. Sampling technique using a purposive sampling method. This method requires taking the number of samples as much as determined by researchers as a target that must be met. The sample in this study were 12 companies. The data collection method uses the questionnaire method. Testing data in this study uses a validity test, reliability test, normality test, heteroscedasticity test, autocorrelation test, multicollinearity test, and linear regression test. Data processing is performed using statistical package statistical application (SPSS) version 25. The results of this study indicate that belief systems on economic performance have a negative significant relationship to economic performance, interactive control systems have a positive and not significant relationship to economic performance, environmental performance has a significant positive relationship to economic performance, environmental performance is not able to moderate the influence of belief systems on economic performance, and environmental performance is able to moderate the effect of interactive control systems on environmental performance.</p>

scholarly journals MODEL OF THE CONTROL SYSTEM ROCKING MACHINES OF OIL THE BASIC OF A SYNCHRONOUS ENGINES WITH THE SENSORLESS METHOD

2018 ◽  
Vol 20 (7-8) ◽  
pp. 107-116 ◽  
Author(s):  
T. I. Petrov ◽  
A. R. Safin ◽  
I. V. Ivshin ◽  
A. N. Tsvetkov ◽  
V. Yu. Kornilov
Keyword(s):  
Control System ◽  
Control Systems ◽  
Oil And Gas ◽  
Oil Industry ◽  
Oil And Gas Industry ◽  
Gas Industry ◽  
Synchronous Motors ◽  
Asynchronous Motors ◽  
Main Disadvantage ◽  
Vector Control System

Rocking machines of oil (RMO) are the main elements in the Russian oil industry in the field of low-yield wells. And increasing the energy efficiency of these machines is one of the most promising tasks in the interests of the oil and gas industry in Russia.The use of intelligent energy-saving stations for controlling the machine-shaker of oil on the basis of synchronous engines makes it possible to optimize oil production, by increasing the volume of production and saving energy resources. The main disadvantage of these stations is high cost, which is a deterrent for widespread use.One of the solutions to this problem is the use of a method that does not use the rotor position sensor, the so-called "sensorless method". However, all works related to the use of the "sensorless method" refer to the control systems of asynchronous motors.In this paper, the advantages of the control systems of a rocking machine on the basis of synchronous motors in front of asynchronous motors will be presented, the variants of motor control and the execution of the "sensorless method" are considered. Mathematical models of all elements of the control station are presented: rocking machine, synchronous motor, vector control system.

Sign in / Sign up

Export Citation Format

Share Document