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 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…
Problem Statement: Due to the availability of large quantities of real-time data, many operators are faced with the challenge of extracting meaningful information from it. In many cases, analysis of the data, the updating of models for Wells,…
The China sustainable development is the simultaneously three key facets, including urbanism, industrialization, and information. Building a Smart Low-carbon City is an energy strategy for the sustainable development of Chinese cities. One technology…
The proceedings contain 32 papers. The topics discussed include: professional course offered within a technical academy concerning the innovative BIM technology
The proceedings contain 32 papers. The topics discussed include: professional course offered within a technical academy concerning the innovative BIM technology
The proceedings contain 32 papers. The topics discussed include: professional course offered within a technical academy concerning the innovative BIM technology
The proceedings contain 32 papers. The topics discussed include: professional course offered within a technical academy concerning the innovative BIM technology
The proceedings contain 252 papers. The topics discussed include: research on problems and countermeasures of university campus express operation management under the background of big data
The proceedings contain 252 papers. The topics discussed include: research on problems and countermeasures of university campus express operation management under the background of big data
The proceedings contain 252 papers. The topics discussed include: research on problems and countermeasures of university campus express operation management under the background of big data
The proceedings contain 252 papers. The topics discussed include: research on problems and countermeasures of university campus express operation management under the background of big data
Cloud processing provides elastic and scalable infrastructure for big data. Shulu Sag is a typical big data processing system, the slope zone of Shulu sag has good oil and gas exploration prospects in recent years. The faults in this area are well…
Cloud processing provides elastic and scalable infrastructure for big data. Shulu Sag is a typical big data processing system, the slope zone of Shulu sag has good oil and gas exploration prospects in recent years. The faults in this area are well…
Cloud processing provides elastic and scalable infrastructure for big data. Shulu Sag is a typical big data processing system, the slope zone of Shulu sag has good oil and gas exploration prospects in recent years. The faults in this area are well…
Cloud processing provides elastic and scalable infrastructure for big data. Shulu Sag is a typical big data processing system, the slope zone of Shulu sag has good oil and gas exploration prospects in recent years. The faults in this area are well…
It is possible to improve oil-reservoir simulation models by conditioning them on 4D seismic data. Computational issues may arise related to both storage and CPU time due to the size of the 4D seismic dataset. An approach to reducing the…
Electric vehicles (EVs) and plug-in hybrid electric vehicles (PHEVs) need to be connected to the utility grid on a regular basis for charging their batteries. An upcoming area of considerable interest is vehicle-to-grid capability where the stored…
This chapter introduces the applications of building integrated photovoltaic thermal (BIPVT) systems to transportation systems, in which solar energy can provide the power for transporting people in a transit system called personal rapid transit…
This chapter introduces the applications of building integrated photovoltaic thermal (BIPVT) systems to transportation systems, in which solar energy can provide the power for transporting people in a transit system called personal rapid transit…
The nation’s infrastructure is extensive and includes all of the basic physical and organizational structures, systems, services, and facilities that are required for society to operate. The security of computer—or “cyber”—systems, is a matter of…
A novel 2,1,3-benzothiadiazole (BT)-based donor−acceptor (D−A) type small molecule (NBTC) has been demonstrated for promising application in organic multilevel resistive memory devices. NBTC exhibits excellent nonvolatile ternary memory effects with…
ABSTRACT The tender process is an inseparable step of the contract award process in the public sector, and from the other point of view, it is one of the crucial elements of the core business of construction contractors. Reviewing previous research…
The growth of technology and social media websites has increased the potential to online explore different products and places around the globe. While online websites are primarily responsible for the generation of large amounts of data, this big…
Nowadays, Big Data (BD) technology is considered by institutions, enterprises and governments a primary key to addressing sustainability challenges. The business ecosystem is becoming more and more complicated, due to large and strong interactions…
Route optimization has been a research topic for many years in the maritime industry and it constitutes one of the key components to improving energy efficiency and sustainability in ship operations. This paper deals with the challenge of estimating…
Route optimization has been a research topic for many years in the maritime industry and it constitutes one of the key components to improving energy efficiency and sustainability in ship operations. This paper deals with the challenge of estimating…
Route optimization has been a research topic for many years in the maritime industry and it constitutes one of the key components to improving energy efficiency and sustainability in ship operations. This paper deals with the challenge of estimating…
Route optimization has been a research topic for many years in the maritime industry and it constitutes one of the key components to improving energy efficiency and sustainability in ship operations. This paper deals with the challenge of estimating…
Route optimization has been a research topic for many years in the maritime industry and it constitutes one of the key components to improving energy efficiency and sustainability in ship operations. This paper deals with the challenge of estimating…
Route optimization has been a research topic for many years in the maritime industry and it constitutes one of the key components to improving energy efficiency and sustainability in ship operations. This paper deals with the challenge of estimating…
To estimate global crude oil trade flows, current research either considers only crude oil tankers, or simply applies external information to distinguish between crude and refined product oil cargoes transported by coated product tankers
Energy-intensive industries account for almost 51% of energy consumption in China. A continuous improvement in energy efficiency is important for energy-intensive industries. Cleaner production has proven itself as an effective way to improve energy…
In recent years, big data and artificial intelligence technology have developed rapidly and are now widely used in fields of geophysics, well logging, and well test analysis in the exploration and development of oil and gas. The development of shale…
In recent years, big data and artificial intelligence technology have developed rapidly and are now widely used in fields of geophysics, well logging, and well test analysis in the exploration and development of oil and gas. The development of shale…
In recent years, big data and artificial intelligence technology have developed rapidly and are now widely used in fields of geophysics, well logging, and well test analysis in the exploration and development of oil and gas. The development of shale…
In recent years, big data and artificial intelligence technology have developed rapidly and are now widely used in fields of geophysics, well logging, and well test analysis in the exploration and development of oil and gas. The development of shale…
In recent years, big data and artificial intelligence technology have developed rapidly and are now widely used in fields of geophysics, well logging, and well test analysis in the exploration and development of oil and gas. The development of shale…
Shale hydrocarbon production has become an increasingly important part of global oil and gas supply during the past decade. The life of projects in unconventional plays, such as shale oil and gas, tight oil and gas, coal bed methane etc., heavily…
Shale hydrocarbon production has become an increasingly important part of global oil and gas supply during the past decade. The life of projects in unconventional plays, such as shale oil and gas, tight oil and gas, coal bed methane etc., heavily…
People, devices, infrastructures and sensors can constantly communicate exchanging data and generating new data that trace many of these exchanges. This leads to vast volumes of data collected at ever increasing velocities and of different variety, a…
The prevention and control of communicable diseases such as COVID-19 has been a worldwide problem, especially in terms of mining towards latent spreading paths. Although some communication models have been proposed from the perspective of spreading…
The prevention and control of communicable diseases such as COVID-19 has been a worldwide problem, especially in terms of mining towards latent spreading paths. Although some communication models have been proposed from the perspective of spreading…
The prevention and control of communicable diseases such as COVID-19 has been a worldwide problem, especially in terms of mining towards latent spreading paths. Although some communication models have been proposed from the perspective of spreading…
The prevention and control of communicable diseases such as COVID-19 has been a worldwide problem, especially in terms of mining towards latent spreading paths. Although some communication models have been proposed from the perspective of spreading…
The prevention and control of communicable diseases such as COVID-19 has been a worldwide problem, especially in terms of mining towards latent spreading paths. Although some communication models have been proposed from the perspective of spreading…
Pipelines are integral components for storing and transporting liquid and gaseous petroleum products. Despite being durable structures, ruptures can still occur, resulting not only in financial losses and energy waste but, most importantly, in…
Pipelines are integral components for storing and transporting liquid and gaseous petroleum products. Despite being durable structures, ruptures can still occur, resulting not only in financial losses and energy waste but, most importantly, in…
Pipelines are integral components for storing and transporting liquid and gaseous petroleum products. Despite being durable structures, ruptures can still occur, resulting not only in financial losses and energy waste but, most importantly, in…
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…