Leakage Prevention and Real-Time Internal Detection in Pipelines Using a Built-In Wireless Information and Communication Network

SPE Journal ◽  
2020 ◽  
Vol 25 (05) ◽  
pp. 2496-2507 ◽  
Author(s):  
Renato J. Cintra ◽  
Thiago de Oliveira ◽  
Martin P. Mintchev
Keyword(s):  
Communication Network ◽  
Real Time ◽  
Wireless Network ◽  
Oil And Gas ◽  
Pipeline System ◽  
Central Unit ◽  
Leakage Detection ◽  
The Public ◽  
Pipeline Segment ◽  
Information And Communication

Summary A series of recent pipeline leakage incidents created severe societal concerns to a point of impeding, or even completely preventing, building new pipelines in North America. Various systems have been proposed to identify and locate leakages. However, despite the fact that pipelines remain the safest means of oil and gas transportation, incidents still persist and pipeline acceptance from the public has become compromised. In order to address the need for early leakage detection, while providing comprehensive leakage prevention, a novel pipeline system is proposed. This concept builds on the already existing pipe-in-pipe design by segmenting the pipeline system with segmentation rings and embedding a linear wireless network in the annular airgap between the two pipe layers. Presence of fluid in the case of a leakage into the interpipe space causes degradation of the wireless network to a point of interrupting the communication in a particular pipeline segment well before any external leak occurs. Thus, the internal leak is detected in real time by an external central unit connected to the linear wireless network, as demonstrated with a 6 ft 8 in. experimental pipeline setup.

Recent Developments of Ambulatory Assessment Methods

2014 ◽  
Vol 25 (4) ◽  
pp. 279-287 ◽  
Author(s):  
Stefan Hey ◽  
Panagiota Anastasopoulou ◽  
André Bideaux ◽  
Wilhelm Stork
Keyword(s):  
Real Time ◽  
Information And Communication Technologies ◽  
New Technologies ◽  
Psychological Research ◽  
Ambulatory Assessment ◽  
Emotional States ◽  
Recent Developments ◽  
Potential Applications ◽  
Information And Communication ◽  
Physiological Sensors

Ambulatory assessment of emotional states as well as psychophysiological, cognitive and behavioral reactions constitutes an approach, which is increasingly being used in psychological research. Due to new developments in the field of information and communication technologies and an improved application of mobile physiological sensors, various new systems have been introduced. Methods of experience sampling allow to assess dynamic changes of subjective evaluations in real time and new sensor technologies permit a measurement of physiological responses. In addition, new technologies facilitate the interactive assessment of subjective, physiological, and behavioral data in real-time. Here, we describe these recent developments from the perspective of engineering science and discuss potential applications in the field of neuropsychology.

Design of Portable Electrocardiograph Monitoring System

2020 ◽  
Author(s):  
Jia Hua-Ping ◽  
Zhao Jun-Long ◽  
Liu Jun
Keyword(s):  
Real Time ◽  
Monitoring System ◽  
Data Storage ◽  
P Wave ◽  
Ecg Monitoring ◽  
The Public ◽  
Ecg Signals ◽  
Early Warning Mechanism ◽  
Timely Treatment ◽  
Ecg Data

Cardiovascular disease is one of the major diseases that threaten the human health. But the existing electrocardiograph (ECG) monitoring system has many limitations in practical application. In order to monitor ECG in real time, a portable ECG monitoring system based on the Android platform is developed to meet the needs of the public. The system uses BMD101 ECG chip to collect and process ECG signals in the Android system, where data storage and waveform display of ECG data can be realized. The Bluetooth HC-07 module is used for ECG data transmission. The abnormal ECG can be judged by P wave, QRS bandwidth, and RR interval. If abnormal ECG is found, an early warning mechanism will be activated to locate the user’s location in real time and send preset short messages, so that the user can get timely treatment, avoiding dangerous occurrence. The monitoring system is convenient and portable, which brings great convenie to the life of ordinary cardiovascular users.

Analyzing the figures of consolidated statement of cash flows of the world's biggest publicly traded oil and gas corporations

2020 ◽  
Vol 19 (6) ◽  
pp. 1101-1120
Author(s):  
O.V. Shimko
Keyword(s):  
Public Sector ◽  
Cash Flow ◽  
Oil And Gas ◽  
Cash Flows ◽  
Annual Reports ◽  
Capital Expenditures ◽  
Publicly Traded ◽  
The Public ◽  
Statement Of Cash Flows ◽  
Oil And Gas Companies

Subject. The article investigates key figures disclosed in consolidated cash flow statements of 25 leading publicly traded oil and gas companies from 2006 to 2018. Objectives. The focus is on determining the current level of values of the main components of consolidated statement of cash flows prepared by leading publicly traded oil and gas companies, identifying key trends within the studied period and factors that led to any transformation. Methods. The study draws on methods of comparative and financial-economic analysis, as well as generalization of materials of consolidated cash flow statements. Results. The comprehensive analysis of annual reports of 25 oil and gas companies enabled to determine changes in the key figures and their relation in the structure of consolidated cash flow statements in the public sector of the industry. It also established main factors that contributed to the changes. Conclusions. In the period under study, I revealed an increase in cash from operating activities; established that capital expenditures in the public sector of the industry show an overall upward trend and depend on the level of oil prices. The analysis demonstrated that even integrated companies’ upstream segment prevail in the capital expenditures structure. The study also unveiled an increase in dividend payments, which, most of the time, exceeded free cash flows thus increasing the debt burden.

ANALISIS MCDONALDISASI BENTUK PELAYANAN PUBLIK PADA SISTEM E-FILING DIREKTORAT JENDERAL PAJAK (DJP) ONLINE

2018 ◽  
Vol 4 (1) ◽  
Author(s):  
Putri Maulina
Keyword(s):  
Communication Technology ◽  
Public Service ◽  
Service System ◽  
Easy Access ◽  
Theory Approach ◽  
The Public ◽  
Filing System ◽  
State Tax ◽  
Information And Communication ◽  
Qualitative Descriptive

In this contemporary era, the forms of public service in Indonesia have become increasingly practical and instant. Conditions like this to illustrate how the phenomenon of McDonaldization began to plague into public service systems, one of which is with the public service system e-Filing DJP Online. E-Filing DJP Online is an application of public services based on information and communication technology implemented by the state tax execution agency to provide easy access to services for the Taxpayers in Indonesia. The purpose of this study is to see how the principles of McDonaldization are applied in the public service system of tax agencies through the DGT Online e-Filing system. The theory approach used is McDonaldization Theory by George Ritzer, and the concept of Public Service. The method used is qualitative descriptive, with literature review approach. The results show that the DGT Online e-Filing system applies the principles of McDonaldization in the form of its services, namely: efficiency, quantified and qualified services, predictability, control, and ultimately the rationale for irrationality of service.Keywords: McDonaldization, Public Service, Tax, e-Filing

scholarly journals The case for tracking misinformation the way we track disease

2021 ◽  
Vol 8 (1) ◽  
pp. 205395172110138
Author(s):  
Erika Bonnevie ◽  
Jennifer Sittig ◽  
Joe Smyser
Keyword(s):  
Public Health ◽  
Real Time ◽  
Supervised Machine Learning ◽  
Disease Spread ◽  
The Public ◽  
Monitoring Tools ◽  
Core Function ◽  
Public Health Organizations ◽  
Front Line Workers ◽  
Media Data

While public health organizations can detect disease spread, few can monitor and respond to real-time misinformation. Misinformation risks the public’s health, the credibility of institutions, and the safety of experts and front-line workers. Big Data, and specifically publicly available media data, can play a significant role in understanding and responding to misinformation. The Public Good Projects uses supervised machine learning to aggregate and code millions of conversations relating to vaccines and the COVID-19 pandemic broadly, in real-time. Public health researchers supervise this process daily, and provide insights to practitioners across a range of disciplines. Through this work, we have gleaned three lessons to address misinformation. (1) Sources of vaccine misinformation are known; there is a need to operationalize learnings and engage the pro-vaccination majority in debunking vaccine-related misinformation. (2) Existing systems can identify and track threats against health experts and institutions, which have been subject to unprecedented harassment. This supports their safety and helps prevent the further erosion of trust in public institutions. (3) Responses to misinformation should draw from cross-sector crisis management best practices and address coordination gaps. Real-time monitoring and addressing misinformation should be a core function of public health, and public health should be a core use case for data scientists developing monitoring tools. The tools to accomplish these tasks are available; it remains up to us to prioritize them.

scholarly journals Development of Real-Time Time Gated Digital (TGD) OFDR Method and Its Performance Verification

Sensors ◽  
2021 ◽  
Vol 21 (14) ◽  
pp. 4865
Author(s):  
Kinzo Kishida ◽  
Artur Guzik ◽  
Ken’ichi Nishiguchi ◽  
Che-Hsien Li ◽  
Daiji Azuma ◽  
...  
Keyword(s):  
Real Time ◽  
Optical Fibers ◽  
High Speed ◽  
Oil And Gas ◽  
Scattered Light ◽  
Oil And Gas Industry ◽  
High Signal ◽  
Chirp Pulse ◽  
Sound Waves ◽  
Industry Applications

Distributed acoustic sensing (DAS) in optical fibers detect dynamic strains or sound waves by measuring the phase or amplitude changes of the scattered light. This contrasts with other distributed (and more conventional) methods, such as distributed temperature (DTS) or strain (DSS), which measure quasi-static physical quantities, such as intensity spectrum of the scattered light. DAS is attracting considerable attention as it complements the conventional distributed measurements. To implement DAS in commercial applications, it is necessary to ensure a sufficiently high signal-noise ratio (SNR) for scattered light detection, suppress its deterioration along the sensing fiber, achieve lower noise floor for weak signals and, moreover, perform high-speed processing within milliseconds (or sometimes even less). In this paper, we present a new, real-time DAS, realized by using the time gated digital-optical frequency domain reflectometry (TGD-OFDR) method, in which the chirp pulse is divided into overlapping bands and assembled after digital decoding. The developed prototype NBX-S4000 generates a chirp signal with a pulse duration of 2 μs and uses a frequency sweep of 100 MHz at a repeating frequency of up to 5 kHz. It allows one to detect sound waves at an 80 km fiber distance range with spatial resolution better than a theoretically calculated value of 2.8 m in real time. The developed prototype was tested in the field in various applications, from earthquake detection and submarine cable sensing to oil and gas industry applications. All obtained results confirmed effectiveness of the method and performance, surpassing, in conventional SM fiber, other commercially available interrogators.

scholarly journals Historical Assessments of Inorganic Pollutants in the Sinkhole Region of Winkler County, Texas, USA

2021 ◽  
Vol 13 (13) ◽  
pp. 7513
Author(s):  
Joshua Lozano ◽  
Joonghyeok Heo ◽  
Mijin Seo
Keyword(s):  
Water Quality ◽  
Environmental Protection Agency ◽  
Water Contamination ◽  
Oil And Gas ◽  
Anthropogenic Activities ◽  
Inorganic Pollutants ◽  
Safety Standards ◽  
The Public ◽  
West Texas ◽  
Contamination Levels

The purpose of this study was to evaluate the public water contamination levels of Winkler County, in West Texas. With water scarcity becoming more prevalent in arid climates like West Texas, it is important to ensure the water quality in these areas. The Dockum and Pecos Valley aquifers were analyzed for inorganic pollutants that could inhibit the water. The parameters such as copper, lead, arsenic, nitrate, chloride, and chromium level reports were provided from 1972 to 2018 to analyze and compare to other studies such as the ones conducted in the Midland/Odessa area. The results were compared to the Environmental Protection Agency (EPA) safety standards, and conclusions were made for the safety consumption of water within the county. We found that inorganic pollutants resulted mainly from the mobilization of the contaminant from anthropogenic activities such as chemical fertilizers, oil and gas developments. This research provides important information for inorganic pollutants in the sinkhole region of Winkler County and contributes to understanding the response to the aquifers. The significance of water quality in West Texas is now more important than ever to ensure that everyone has clean drinking water.

Gas pipeline leakage detection in the presence of parameter uncertainty using robust extended Kalman filter

2021 ◽  
pp. 014233122198911
Author(s):  
Mohadese Jahanian ◽  
Amin Ramezani ◽  
Ali Moarefianpour ◽  
Mahdi Aliari Shouredeli
Keyword(s):  
Kalman Filter ◽  
Extended Kalman Filter ◽  
Parameter Uncertainty ◽  
Oil And Gas ◽  
Estimation Error ◽  
Real Data ◽  
Gas Pipeline ◽  
Pipeline System ◽  
Parameter Uncertainties ◽  
Simulation Results

One of the most significant systems that can be expressed by partial differential equations (PDEs) is the transmission pipeline system. To avoid the accidents that originated from oil and gas pipeline leakage, the exact location and quantity of leakage are required to be recognized. The designed goal is a leakage diagnosis based on the system model and the use of real data provided by transmission line systems. Nonlinear equations of the system have been extracted employing continuity and momentum equations. In this paper, the extended Kalman filter (EKF) is used to detect and locate the leakage and to attenuate the negative effects of measurement and process noises. Besides, a robust extended Kalman filter (REKF) is applied to compensate for the effect of parameter uncertainty. The quantity and the location of the occurred leakage are estimated along the pipeline. Simulation results show that REKF has better estimations of the leak and its location as compared with that of EKF. This filter is robust against process noise, measurement noise, parameter uncertainties, and guarantees a higher limit for the covariance of state estimation error as well. It is remarkable that simulation results are evaluated by OLGA software.

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