The purpose of the paper is to present the implementation of FSO2 life extension program by using big data and the Industrial Internet of Things (lloT). We will explain why it was decided to implement the program and how to use big data and the…
Demand forecasting in the energy sector is essential for both countries and companies to plan their supply and demand. Agents in the highly volatile oil markets have to act fast and data-driven. In the literature, studies on oil or gasoline demand…
Summary form only given. Following the Northeast blackout of 2003, the Wide-Area Measurement Systems (WAMS) technology using Phasor Measurement Units (PMUs) has tremendously matured for the North American grid. However, with the rapidly increasing…
Today, due to intentional and unintentional events, the resilience and reliability of modern distribution networks is under attack. Reliable and quick service restoration (SR) strategy is a key factor to improve self-healing and resupplying out of…
The digital transformation brought on by 5G is redefining current models of end-to-end (E2E) connectivity and service reliability to include security-by-design principles necessary to enable 5G to achieve its promise. 5G trustworthiness highlights…
The control and managing of pipelines have been assuming a major importance for all kinds of fluids to be conveyed through. When the fluid is like oil, harmful liquid and/or water for human beings necessity, the monitoring of pipelines becomes…
Power grids are cyber-physical systems and can be modelled as network systems where individual units (generators, busbars and loads) are interconnected through physical and cyber links. Network components (nodes/edges) may undergo intentional and/or…
This work proposes a leak detection system using sonic technology, wavelet transform and neural networks to decompose and analyze pressure signals from oil pipelines in real time. The similarity between pressure and sound signals makes it possible to…
LPG (Liquefied Petroleum Gas) gas is the primary source of energy in most households. Recently LPG gas leak has cause significant fire hazard accident and losses. This present work investigates the sensitivity of gas sensor MQ2 and MQ6 hence…
Corrosion detector using an array of planar Cu electrodes is demonstrated. The planar Cu electrodes are patterned from commercially available single-sided printed circuit board (PCB). The ten electrodes exhibit anodic and cathodic characteristics by…
The increased infusion of non-linear devices, Distributed Energy Resources (DERs), and Plug-in Electric Vehicles (PEVs) into the Smart Grid system has resulted in network imbalance, increased power loss, and decreased power stability. This, in turn,…
Factors causing pollution both water and air and fires can be caused by the pollution of liquefied petroleum gas (LPG) that comes from gas network leaks from National gas Company (PGN) to households. For National gas Company (PGN) due to LPG gas…
The industrial world of oil and gas involves critical processes and machinery for the exploration, extraction, refining, transporting and marketing petroleum products. Oil and gas companies need to control, monitor, maintain and secure the processes…
We design a leak detection system consisting of an adaptive Luenberger-type observer based on a set of two coupled one dimensional first order nonlinear hyperbolic partial differential equations governing the flow dynamics. It is assumed that…
To simulate and predict the appropriate indices for algal blooms and petroleum pollution, this study combined remote sensing data and models of Machine Learning ML for the Aqaba Gulf’s condition. For algal blooms indication
This paper presents an effective decision making system for leak detection based on multiple generalized linear models and clustering techniques. The training data for the proposed decision system is obtained by setting up an experimental pipeline…
Big data plays a major role in the learning, manipulation, and forecasting of information intelligence. Due to the imbalance of data delivery, the learning and retrieval of information from such large datasets can result in limited classification…
A new model to detect leaks optimally in liquid pipelines is presented. The model uses the concept based on the Liapunov stability criteria to evolve a criterion for pipeline leak detection. A flow model was derived for a typical pipeline flow…
Multiphase flows are of paramount importance in the oil and gas industry, considering that most petroleum industries produce and transport oil and gas simultaneously. However, systematic research on pipeline leakage conveying more than one phase at a…
Multiphase flows are of paramount importance in the oil and gas industry, considering that most petroleum industries produce and transport oil and gas simultaneously. However, systematic research on pipeline leakage conveying more than one phase at a…
Multiphase flows are of paramount importance in the oil and gas industry, considering that most petroleum industries produce and transport oil and gas simultaneously. However, systematic research on pipeline leakage conveying more than one phase at a…
Multiphase flows are of paramount importance in the oil and gas industry, considering that most petroleum industries produce and transport oil and gas simultaneously. However, systematic research on pipeline leakage conveying more than one phase at a…
Multiphase flows are of paramount importance in the oil and gas industry, considering that most petroleum industries produce and transport oil and gas simultaneously. However, systematic research on pipeline leakage conveying more than one phase at a…
After a few false dawns, the Nigerian Liquefied Natural Gas Project is today moving from concept to reality having overcome the preliminary steps of gas reserve estimation, preliminary engineering and demand forecasting. This article provides a…
Oil and Gas operations are now being "datafied." Datafication in the oil industry refers to systematically extracting data from the various oilfield activities that are naturally occurring. Successful digital transformation hinges critically on an…
Oil and Gas operations are now being "datafied." Datafication in the oil industry refers to systematically extracting data from the various oilfield activities that are naturally occurring. Successful digital transformation hinges critically on an…
Oil and Gas operations are now being "datafied." Datafication in the oil industry refers to systematically extracting data from the various oilfield activities that are naturally occurring. Successful digital transformation hinges critically on an…
Oil and Gas operations are now being "datafied." Datafication in the oil industry refers to systematically extracting data from the various oilfield activities that are naturally occurring. Successful digital transformation hinges critically on an…
Oil and Gas operations are now being "datafied." Datafication in the oil industry refers to systematically extracting data from the various oilfield activities that are naturally occurring. Successful digital transformation hinges critically on an…
Routine inspection and maintenance are critical for the proper functioning of civil infrastructures such as bridges, pavements and underground structures. Civil infrastructures are being inspected less frequently because of the high cost and long…
Existing protocols (e.g., ASTM D 1275-B standard test method) applied to detect and monitor sulfur corrosion in transformer insulating oils are imprecise as it depends on visual observation. As a solution, thin-film sacrificial copper strips are…
The energy industry is at a crossroads. Digital technological developments have the potential to change our energy supply, trade, and consumption dramatically. The new digitalization model is powered by the artificial intelligence (AI) technology.…
The current trend indicates that energy demand and supply will eventually be controlled by autonomous software that optimizes decision-making and energy distribution operations. New state-of-the-art machine learning (ML) technologies are integral in…
The rise of the damage to energy systems caused by both natural and man-made disruptive events and the connection between energy systems and socio-economic systems have motivated the study of energy system resilience. This paper conceptualizes and…
Abstract: Inception of mobile devices and applications have seen an exponential growth of data. Bandwidth limitation for cloud-hosted applications is the “Elephant in the room”. This research has designed an algorithm to address the bandwidth…
Inception of mobile devices and applications have seen an exponential growth of data. Bandwidth limitation for cloud-hosted applications is the "Elephant in the room". This research has designed an algorithm to address the bandwidth limitations by…
The construction of systems supporting spatial data has experienced great enthusiasm in the past, due to the richness of this type of data and their semantics, which can be used in the decision-making process in various fields. Thus, the problem of…
Big data with multiple parameters that affect the variation in outcome happens in stock market, mechanical processes, weather, chemical processes etc. The Principal Components Analysis, PCA, an unsupervised analysis is a simple statistical and…
Detection of small leaks in gas pipelines is an important and persistent problem in the oil and gas industry. However, the industry is beginning to investigate how tools of Machine Learning, Artificial Intelligence, Big Data, etc. can be used to…
Detection of small leaks in gas pipelines is an important and persistent problem in the oil and gas industry. However, the industry is beginning to investigate how tools of Machine Learning, Artificial Intelligence, Big Data, etc. can be used to…
Detection of small leaks in gas pipelines is an important and persistent problem in the oil and gas industry. However, the industry is beginning to investigate how tools of Machine Learning, Artificial Intelligence, Big Data, etc. can be used to…
There are various factors that contribute to the Well planning. Be it cost, complexity of the reservoir, safety measures, isolating problem areas, engineering, etc., The whole process of well analysis takes a lot of time and efforts, as the method…
There are various factors that contribute to the Well planning. Be it cost, complexity of the reservoir, safety measures, isolating problem areas, engineering, etc., The whole process of well analysis takes a lot of time and efforts, as the method…
There are various factors that contribute to the Well planning. Be it cost, complexity of the reservoir, safety measures, isolating problem areas, engineering, etc., The whole process of well analysis takes a lot of time and efforts, as the method…
With new sources of big data, it is increasingly possible to practically implement advanced freight forecasting models including activity-based and truck touring models. Such models improve upon traditional trip-based approaches by capturing freight…
A strain based corrosion sensor for the detection of environmental corrosion of pre-stressed structures was developed and tested on mild steel specimens readily available. Theoretically, a beam shaped specimen under a displacement load exhibits a…
as data size is growing up, cloud storage is becoming more familiar to store a significant amount of private information. Government and private organizations require transferring plenty of business files from one end to another. However, we will…
Production planning and performance management imply diverse challenges, mainly when dealing at corporate level in an integrated operating company. Production forecast considers technical capacities, available capacities, and operationally agreed…
Production planning and performance management imply diverse challenges, mainly when dealing at corporate level in an integrated operating company. Production forecast considers technical capacities, available capacities, and operationally agreed…