The development of information technologies such as the internet of things(IoT), big data, cloud computing, and artificial intelligence has made the global energy rapid advancement in digitalization and intelligence. Based on electric power systems,…
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 an attempt to address this growing problem, a novel pipeline system is…
By leveraging IoT Big Data, BPM can gain real-time physical world information to make faster and more accurate decisions, but there is a technical gap between IoT sensors and businesses. To bridge the gap, an event penetration mechanism from IoT…
The Petroleum Analytics Learning Machine (PALM) is a machine-learning-based, “brutally empirical” analysis system for managing the Internet of Things (IoT) in upstream and midstream oil and gas operations. PALM was developed in the new unconventional…
As the main tool for rock breaking, the bit with features of personalized and high efficiency is more and more popular in different strata, different well sections and different working conditions. By using Intelligent design and manufacturing…
In order to provide the agricultural industry with the infrastructure it needs to take advantage of advanced technology, such as big data, the cloud, and the internet of things (IoT)
Video data has become the largest source of big data. Owing to video data's complexities, velocity, and volume, public security and other surveillance applications require efficient, intelligent runtime video processing. To address these challenges,…
Refineries are giant industrial facilities where tons of crude oil is turned into fuel oil and other chemical by-products through different chemical processes every day. In this article, we discuss big data problems specifically obserbed in…
The Petroleum Analytics Learning Machine (PALM) is a machine-learning-based, “brutally empirical” analysis system for managing the Internet of Things (IoT) in upstream and midstream oil and gas operations. PALM was developed in the new unconventional…
The traditional IE system takes a long time to query petroleum information and has poor information management effect. Based on this, a petroleum engineering information system based on big data technology is designed. In the hardware design, the…
Within any country, the safety of the citizens is a major concern. Since LPG is highly flammable and can create dangerous situations in life. To avoid such situations, this system modifies the existing safety system of LPG leakage detection. The…
In recent years, gas leaks have become a major problem in households that use household gas, so we have developed the proposed gas leak detection and monitoring system. An LPG leak-detecting system prevents risks like gas cylinder explosions. Given…
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…
This paper presents an automated monitoring solution for the process of transportation crude oil and petroleum products through pipelines. The proposed system has a hierarchical, partially distributed architecture, based on microcontrollers systems…
Implementing voluntary Demand Response (DR) in real-time or close to real-time is technically feasible because of the deployment of smart grid infrastructures such as smart meters, remote control units, and mobile communication devices. However, most…
This paper describes the implementation of synchrophasor-based analysis as a part of Peak Reliability Synchrophasor Project (PRSP). A real-time situational awareness framework that utilizes Phasor Measurement Unit (PMU) data was demonstrated to…
Clean energy resources, like wind, have a stochastic nature, which involves uncertainties in the power system. Introducing energy storage systems (ESS) to the network can compensate for the uncertainty in wind plant output and allow the plant to…
Phase Change Materials (PCMs) are used for thermal energy storage (TES) due to their high latent heat capacity. While inorganic PCMs have the ability to store large amounts of thermal energy (as they possess higher values of latent heat capacity)…
An intelligent micro-grid management and application architecture are proposed with a mobile energy storage system. The main objective is to use the mobile energy storage system as flexible backup power for the power outage. With GPS positioning and…
The smart field has drawn much attention for the field business functions to be tied into a smoothly operating system. However, its operation decisions still cannot meet the ever-increasing multiple data source requirements. This paper proposes a…
The smart field has drawn much attention for the field business functions to be tied into a smoothly operating system. However, its operation decisions still cannot meet the ever-increasing multiple data source requirements. This paper proposes a…
Across the natural world, many species have evolved methods for amplifying their decision-making accuracy by thinking together in real-time closed-loop systems. Known as Swarm Intelligence (SI) in the field of biology, the process has been deeply…
In this paper, I propose a new method about the remote monitor and control for Massive Hydraulic Fracturing (MHF). It includes data acquisition by serial port communication even if the fracturing measuring truck has not outside serial port, 3G…
The smart field has drawn much attention for the field business functions to be tied into a smoothly operating system. However, its operation decisions still cannot meet the ever-increasing multiple data source requirements. This paper proposes a…
Food waste by end-consumers is a topic that is under-studied although this is an issue that has direct and indirect consequences on greenhouse gas emissions, water use, and health. One reason for food waste in homes in the United States is the…
To efficiently and reliably satisfy energy demand in multi-carrier energy networks (MCENs), energy hubs play a noteworthy role as the interface structure for integrating multiple energy carriers and production resources. This paper proposes an…
In underground coal mines safety of the workers always has been a concern and challenging task. Excessive humidity and high temperature can easily be formed in the underground environment which can affect the health safety of the workers…
The revolutionary advancement in the capabilities of hardware tools, software packages, and communication techniques gave rise to the Internet of Things-supported drone networks (IoD), thereby enabling smooth communication among devices and…
Smart transportation network development with environmental issues into consideration has brought Industry 4.0 based solutions on priority. In this direction, battery-powered electric bus systems have been considered widely for ensuring flexibility,…
Biometric authentication, the process of verification using unique biological characteristics, is considered one of the most accurate technologies for authentication. It compares two or more biometric data to identify the differences among them…
The paper is devoted to the application of real-time strain gauge analysis for the diagnostics of bearings of industrial machines. The bearings are important and often damaged part of different rotor equipment. But the diagnostics of bearings is…
Storage Tanks in tank farms are used to store various petroleum products and play an important role in the oil and petroleum industries. Monitoring these tanks for fire, gas leakage, and lightning becomes of paramount importance. The…
The paper reviews application of real-time strain gauge analysis for locating defects via pulse control. Various diagnostics and defect detection methods used for condition monitoring have advantages and disadvantages. In this study, we suggest pulse…
Clean energy resources, like wind, have a stochastic nature, which involves uncertainties in the power system. Introducing energy storage systems (ESS) to the network can compensate for the uncertainty in wind plant output and allow the plant to…
Phase Change Materials (PCMs) are used for thermal energy storage (TES) due to their high latent heat capacity. While inorganic PCMs have the ability to store large amounts of thermal energy (as they possess higher values of latent heat capacity)…
An intelligent micro-grid management and application architecture are proposed with a mobile energy storage system. The main objective is to use the mobile energy storage system as flexible backup power for the power outage. With GPS positioning and…
In this article, a bi-directional long-short term memory (BiLSTM) network algorithm combined with a support vector machine (SVM), SVM-BiLSTM, is proposed to detect faults in the Gas Station Internet of Things (GS-IoT) system. The operational process…
Under the increasingly stringent environmental regulations, the installed capacity of distributed renewable energy is increasing rapidly. How to fully absorb renewable energy without affecting power grid security and ensuring power quality is the key…
An integrated energy microgrid (IEM) system consists of power, natural gas, and heat. As the interdependence among different energy utilities grows, there is an urgent need to investigate the combined economic dispatch of the IEM. This paper proposes…
Summary & Conclusions: Managing safety-critical systems in real-time, across geographically diverse multiple oil & gas installations, both offshore and onshore, is in itself a huge challenge for any corporation. PETRONAS, through its Exploration,…
The accurate prediction of vacant parking space availability is becoming increasingly essential for assisting drivers to determine where to park in advance. It helps ease traffic pressure and reduce gas emission and pollution. This article proposes a…
The main aim of the paper is to develop a shared shuttle-based system in order to reduce congestion in cities and thereby reduce carbon dioxide emissions. There are multiple modules in this system but to summarize there exist two databases one…
Energy pipelines are the backbones of global energy systems. Monitoring their safety and automatically identifying and locating third-party damage events are crucial to energy supply. However, most traditional methods lack in-depth consideration of…
In today's world, one of the biggest issues faced by transportation is related to roadway traffic. While developments are focused on improving the vehicles and making them more efficient, less focus is given to improve the infrastructure and…
The paper reviews application of real-time strain gauge analysis for locating defects via pulse control. Various diagnostics and defect detection methods used for condition monitoring have advantages and disadvantages. In this study, we suggest pulse…
The smart field has drawn much attention for the field business functions to be tied into a smoothly operating system. However, its operation decisions still cannot meet the ever-increasing multiple data source requirements. This paper proposes a…
This paper presents an automated monitoring solution for the process of transportation crude oil and petroleum products through pipelines. The proposed system has a hierarchical, partially distributed architecture, based on microcontrollers systems…
The aim of this paper is to develop a method of intellectualizing information and measuring systems, designed to control the complex of parameters of sophisticated multiphase flows under uncertainty and its implementation by the example of creating…
The smart field has drawn much attention for the field business functions to be tied into a smoothly operating system. However, its operation decisions still cannot meet the ever-increasing multiple data source requirements. This paper proposes a…