Agricultural Internet of things (AIoT) promotes the modernization of traditional agricultural production and marketing model. However, the existing time series prediction methods for agricultural production and agricultural product (AP) marketing…
The transformation of big data has quietly infiltrated people's lives. Some advanced companies in the petroleum industry have tried to use big data analysis to more accurately determine well locations, reduce drilling accident rates, and reduce…
Hydrogen socialization has become a promising target in future energy development. Hydrogen fuel cell vehicle is gradually becoming a considerable substitute for fossil fuel vehicles in many countries. As for the promotion of hydrogen fuel cell…
With the advent of the digital era, oil companies have invested more in obtaining and integrating basic data, and constantly improved the utilization of big data analytics, as an emerging trend, in oil and gas industries, with a view to discovering…
Agricultural Internet of things (AIoT) promotes the modernization of traditional agricultural production and marketing model. However, the existing time series prediction methods for agricultural production and agricultural product (AP) marketing…
The transformation of big data has quietly infiltrated people's lives. Some advanced companies in the petroleum industry have tried to use big data analysis to more accurately determine well locations, reduce drilling accident rates, and reduce…
In this paper, a quantitative risk assessment method of packaged cargoes carried by ship based on online dynamic big data fusion technology was researched. In recent years, major accidents such as oil spill, fire, explosion and ship loss occurred…
Hydrogen socialization has become a promising target in future energy development. Hydrogen fuel cell vehicle is gradually becoming a considerable substitute for fossil fuel vehicles in many countries. As for the promotion of hydrogen fuel cell…
With the advent of the digital era, oil companies have invested more in obtaining and integrating basic data, and constantly improved the utilization of big data analytics, as an emerging trend, in oil and gas industries, with a view to discovering…
Agricultural Internet of things (AIoT) promotes the modernization of traditional agricultural production and marketing model. However, the existing time series prediction methods for agricultural production and agricultural product (AP) marketing…
In this paper, a quantitative risk assessment method of packaged cargoes carried by ship based on online dynamic big data fusion technology was researched. In recent years, major accidents such as oil spill, fire, explosion and ship loss occurred…
The transformation of big data has quietly infiltrated people's lives. Some advanced companies in the petroleum industry have tried to use big data analysis to more accurately determine well locations, reduce drilling accident rates, and reduce…
Hydrogen socialization has become a promising target in future energy development. Hydrogen fuel cell vehicle is gradually becoming a considerable substitute for fossil fuel vehicles in many countries. As for the promotion of hydrogen fuel cell…
With the advent of the digital era, oil companies have invested more in obtaining and integrating basic data, and constantly improved the utilization of big data analytics, as an emerging trend, in oil and gas industries, with a view to discovering…
In this paper, a quantitative risk assessment method of packaged cargoes carried by ship based on online dynamic big data fusion technology was researched. In recent years, major accidents such as oil spill, fire, explosion and ship loss occurred…
Petroleum industries' big data characterize heterogeneity and they are often multidimensional in nature. In the recent past, explorers narrate petroleum system, as an ecosystem, in which elements and processes are constantly interacted and…
Petroleum industries' big data characterize heterogeneity and they are often multidimensional in nature. In the recent past, explorers narrate petroleum system, as an ecosystem, in which elements and processes are constantly interacted and…
The unconventional digital petroleum ecosystems are associated with fractured reservoirs that are usually unpredictable, but can produce for longer periods depending on size of petroleum systems and basins. Currently, conventional reservoirs do…
Agricultural Internet of things (AIoT) promotes the modernization of traditional agricultural production and marketing model. However, the existing time series prediction methods for agricultural production and agricultural product (AP) marketing…
The transformation of big data has quietly infiltrated people's lives. Some advanced companies in the petroleum industry have tried to use big data analysis to more accurately determine well locations, reduce drilling accident rates, and reduce…
Hydrogen socialization has become a promising target in future energy development. Hydrogen fuel cell vehicle is gradually becoming a considerable substitute for fossil fuel vehicles in many countries. As for the promotion of hydrogen fuel cell…
With the advent of the digital era, oil companies have invested more in obtaining and integrating basic data, and constantly improved the utilization of big data analytics, as an emerging trend, in oil and gas industries, with a view to discovering…
In this paper, a quantitative risk assessment method of packaged cargoes carried by ship based on online dynamic big data fusion technology was researched. In recent years, major accidents such as oil spill, fire, explosion and ship loss occurred…
Agricultural Internet of things (AIoT) promotes the modernization of traditional agricultural production and marketing model. However, the existing time series prediction methods for agricultural production and agricultural product (AP) marketing…
The transformation of big data has quietly infiltrated people's lives. Some advanced companies in the petroleum industry have tried to use big data analysis to more accurately determine well locations, reduce drilling accident rates, and reduce…
Hydrogen socialization has become a promising target in future energy development. Hydrogen fuel cell vehicle is gradually becoming a considerable substitute for fossil fuel vehicles in many countries. As for the promotion of hydrogen fuel cell…
With the advent of the digital era, oil companies have invested more in obtaining and integrating basic data, and constantly improved the utilization of big data analytics, as an emerging trend, in oil and gas industries, with a view to discovering…
Petroleum industries' big data characterize heterogeneity and they are often multidimensional in nature. In the recent past, explorers narrate petroleum system, as an ecosystem, in which elements and processes are constantly interacted and…
Wireless Sensor Nodes (motes) have witnessed rapid development in the last two decades. Though the design considerations for Wireless Sensor Networks (WSNs) have been widely discussed in the literature, limited investigation has been done for their…
It was important to detect the leaking of natural gas pipeline whether leakage happened, the comprehensive and comparative analysis of various methods of leak detection indicated that most common detection method which was difficult to identify and…
The pipeline leakage problem is a very challenging and critical issue. Solving this problem will save the nation a lot of money, resources and more importantly, it will save the environment. This paper discusses the state of the art of leak detection…
The extraction and transportation of crude oil is a typical multiphase flow process. In order to visualize the oil/gas/water distribution, simulation and static tests are carried out in this paper. Electrical capacitance tomography (ECT) and…
Urban energy is a very important factor in urban development. How to control its energy risk is the key to this article. This article explores the urban energy risk control countermeasures oriented to machine learning and data fusion. This paper…