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…
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…
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…
At present, the total number of long-distance pipeline in China has reached 125000 km, achieved great development in the past decade. With the increase of the running time of the pipeline system and the aging of material properties, the frequent…
At present, the total number of long-distance pipeline in China has reached 125000 km, achieved great development in the past decade. With the increase of the running time of the pipeline system and the aging of material properties, the frequent…
At present, the total number of long-distance pipeline in China has reached 125000 km, achieved great development in the past decade. With the increase of the running time of the pipeline system and the aging of material properties, the frequent…
At present, the total number of long-distance pipeline in China has reached 125000 km, achieved great development in the past decade. With the increase of the running time of the pipeline system and the aging of material properties, the frequent…
One of the most important tools for studying fluid flow behavior in oil and gas reservoirs is reservoir simulation. It is constructed based on a comprehensive geological information. A comprehensive numerical reservoir model has tens of millions of…
As the main tool to realize data mining and efficient knowledge acquisition in the era of big data, machine learning is widely used in data center energy-saving research. The temperature prediction model based on machine learning predicts the state…
HSE (Health, Safety, and Environment) management is one of the most concerned matters of every business, especially in petroleum Industry. Currently, analyzing the origin of accident and tracing the responsibility of accident commonly happened after…
HSE (Health, Safety, and Environment) management is one of the most concerned matters of every business, especially in petroleum Industry. Currently, analyzing the origin of accident and tracing the responsibility of accident commonly happened after…
HSE (Health, Safety, and Environment) management is one of the most concerned matters of every business, especially in petroleum Industry. Currently, analyzing the origin of accident and tracing the responsibility of accident commonly happened after…
HSE (Health, Safety, and Environment) management is one of the most concerned matters of every business, especially in petroleum Industry. Currently, analyzing the origin of accident and tracing the responsibility of accident commonly happened after…
HSE (Health, Safety, and Environment) management is one of the most concerned matters of every business, especially in petroleum Industry. Currently, analyzing the origin of accident and tracing the responsibility of accident commonly happened after…
Aiming at the "bottleneck" problems of the traditional network security situation awareness model, such as large equipment limitations, single data source and poor integration ability, weak level of autonomous learning and data mining, a network…
The Meteorology is a field where huge amounts of data are generated, mainly collected by sensors at weather stations, where different variables can be measured. Those data have some particularities such as high volume and dimensionality, the frequent…
Data has become necessary part of every individual, industry, economy, business function and organization. Miscellaneous industries, machines and institutions are expanding their analytical data at digital world at a very high rate. As this data set…
Data has become necessary part of every individual, industry, economy, business function and organization. Miscellaneous industries, machines and institutions are expanding their analytical data at digital world at a very high rate. As this data set…
Natural gas exploration has been shifting significantly in the last decades with the progression of new ingenious technologies. However, such technologies generates large amount of data sets and handling of them create problems such as interpretation…
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…
Video data contributes to the majority of big data, henceforth, how to efficiently and effectively discovering knowledge from large-scale video data becomes a crucial challenge. In this paper, we propose multiple architectural styles for the domain…
Machine learning libraries are integral to a big data mining platform. There are three limitations on adopting current machine learning libraries in such a platform. First, these algorithms are not implemented for handling both online and offline big…
Machine learning libraries are integral to a big data mining platform. There are three limitations on adopting current machine learning libraries in such a platform. First, these algorithms are not implemented for handling both online and offline big…
Machine learning libraries are integral to a big data mining platform. There are three limitations on adopting current machine learning libraries in such a platform. First, these algorithms are not implemented for handling both online and offline big…
Machine learning libraries are integral to a big data mining platform. There are three limitations on adopting current machine learning libraries in such a platform. First, these algorithms are not implemented for handling both online and offline big…
At present, the application of big data analysis technology is developing rapidly. It has achieved remarkable results and benefits in the electricity business, the internet and other areas. But in the field of petroleum engineering, the big data…
At present, the application of big data analysis technology is developing rapidly. It has achieved remarkable results and benefits in the electricity business, the internet and other areas. But in the field of petroleum engineering, the big data…
At present, the application of big data analysis technology is developing rapidly. It has achieved remarkable results and benefits in the electricity business, the internet and other areas. But in the field of petroleum engineering, the big data…
At present, the application of big data analysis technology is developing rapidly. It has achieved remarkable results and benefits in the electricity business, the internet and other areas. But in the field of petroleum engineering, the big data…
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…
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…
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…
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…
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…
This paper focuses on increasing the efficiency of the E&P Companies in their extraction process with a new approach and methodology based on Big Data Analytics. This involves an approach in which the E & P companies could extract out the best of the…
This paper focuses on increasing the efficiency of the E&P Companies in their extraction process with a new approach and methodology based on Big Data Analytics. This involves an approach in which the E & P companies could extract out the best of the…
With the integration of information technology into social life, data acquisition, transmission, application scale reached an unprecedented level. The quantitative change has accumulated to a certain extent resulting in some industries caused a…
In the era of digitization of oil and gas industry, application of big data that is generated in the process of oil and gas exploration and development can boost the construction of digital and intelligent oilfield. The paper has introduced the…
In the era of digitization of oil and gas industry, application of big data that is generated in the process of oil and gas exploration and development can boost the construction of digital and intelligent oilfield. The paper has introduced the…
In the era of digitization of oil and gas industry, application of big data that is generated in the process of oil and gas exploration and development can boost the construction of digital and intelligent oilfield. The paper has introduced the…
In the era of digitization of oil and gas industry, application of big data that is generated in the process of oil and gas exploration and development can boost the construction of digital and intelligent oilfield. The paper has introduced the…