Integrated asset modeling, application of big data, and automation are among the top emerging trends in the oil and gas industry. The value associated with such implementation projects is very closely linked with the efficient use of the project…
Application of big data is analysed via the present information management of petroleum enterprises in this paper. The logical structure and application architecture are proposed based on hodiernal production, administration and management of oil…
The oil & gas industry has been value added from our digital assets since this new century, which helped our industry dig out more advanced algorithm, more robust logic to address the challenge from HPHT wells and deep-water wells. Nowadays the…
The article deals with issues related to the transition to digitalization of higher professional education, as well as with the widespread use of distance education technologies. The analysis of methods for monitoring the quality of education of…
The energy data scope is very broad including oil and gas, coal, minerals, new energy, renewable and conversion energy, electricity, and others. The different volume, variety, veracity, and velocity of data have challenge to address with the energy…
Smart city governance (SCG) is a new paradigm of urban policy, planning, and management that able to solve emerging challenges of urban areas along with ensuring urban sustainability. Data-driven technology provides an opportunity to transform the…
today, multimedia database management is the most important for the new generation and specifically in big data issues for instant saving, calling and modifying operations for many types of documents as text, video and audio. A huge number of…
The construction of a correct worldview, outlook on life, and values for students is linked to the development and breakthrough in the management of ideological as well as political education of students. At the same time, college students must be…
Integrated asset modeling, application of big data, and automation are among the top emerging trends in the oil and gas industry. The value associated with such implementation projects is very closely linked with the efficient use of the project…
Application of big data is analysed via the present information management of petroleum enterprises in this paper. The logical structure and application architecture are proposed based on hodiernal production, administration and management of oil…
At present, the big data industry is developing rapidly in many fields around the world, and it brings opportunities for the transformation and upgradation of the traditional oil industry. The whole oil business chain is of large scale, and there are…
The oil & gas industry has been value added from our digital assets since this new century, which helped our industry dig out more advanced algorithm, more robust logic to address the challenge from HPHT wells and deep-water wells. Nowadays the…
The article deals with issues related to the transition to digitalization of higher professional education, as well as with the widespread use of distance education technologies. The analysis of methods for monitoring the quality of education of…
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…
The energy data scope is very broad including oil and gas, coal, minerals, new energy, renewable and conversion energy, electricity, and others. The different volume, variety, veracity, and velocity of data have challenge to address with the energy…
Smart city governance (SCG) is a new paradigm of urban policy, planning, and management that able to solve emerging challenges of urban areas along with ensuring urban sustainability. Data-driven technology provides an opportunity to transform the…
In the era of big data, data has become a new factor of production. During the operation and maintenance of the data center, rich operation data have been accumulated. How to effectively manage, analyze and mine the massive data accumulated in the…
today, multimedia database management is the most important for the new generation and specifically in big data issues for instant saving, calling and modifying operations for many types of documents as text, video and audio. A huge number of…
Intelligent transportation systems (ITS) typically rely on massive sources of data to monitor the transportation system, estimate its current state, forecast its future state, and react with a set of control and management strategies in real time.…
In recent years, the development speed of big data related technology is extremely rapid, and it gradually penetrates into all fields of society from a more in-depth and broader perspective, which provides an objective data basis for the development…
The construction of a correct worldview, outlook on life, and values for students is linked to the development and breakthrough in the management of ideological as well as political education of students. At the same time, college students must be…
At present, the big data industry is developing rapidly in many fields around the world, and it brings opportunities for the transformation and upgradation of the traditional oil industry. The whole oil business chain is of large scale, and there are…
In order to robustly characterize a reservoir and make reservoir management decisions, it is paramount thatan integrated and comprehensive study use all available static and dynamic data including petrophysical,geological, geophysical, engineering,…
with the advent of the era of big data, people's way of thinking and habits have changed greatly. In Colleges and universities, big data has the characteristics of massive, high growth and diversity. Colleges and universities should seize the…
With the continuous development of big data in modern education informatization, the content of teaching experiments has become more and more abundant, the types of laboratory equipment have become more diversified, and the overall experiment content…
With the in-depth construction of the "digital pipeline", the full pipeline system has digitally upgraded various systems through the use of advanced information networking technologies, such as the Internet of Things and mobile Internet, and…
In order to robustly characterize a reservoir and make reservoir management decisions, it is paramount that an integrated and comprehensive study use all available static and dynamic data including petrophysical, geological, geophysical, engineering,…
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…
Drilling with mud motors (positive displacement motors) dominates oilfield drilling operations due to its operational and economic advantages over conventional rotary drilling. In US land operations, whether it is a bent-motor or rotary steerable BHA…
Integrated asset modeling, application of big data, and automation are among the top emerging trends in the oil and gas industry. The value associated with such implementation projects is very closely linked with the efficient use of the project…
In the era of big data, data has become a new factor of production. During the operation and maintenance of the data center, rich operation data have been accumulated. How to effectively manage, analyze and mine the massive data accumulated in the…
Application of big data is analysed via the present information management of petroleum enterprises in this paper. The logical structure and application architecture are proposed based on hodiernal production, administration and management of oil…
Intelligent transportation systems (ITS) typically rely on massive sources of data to monitor the transportation system, estimate its current state, forecast its future state, and react with a set of control and management strategies in real time.…
The oil & gas industry has been value added from our digital assets since this new century, which helped our industry dig out more advanced algorithm, more robust logic to address the challenge from HPHT wells and deep-water wells. Nowadays the…
In recent years, the development speed of big data related technology is extremely rapid, and it gradually penetrates into all fields of society from a more in-depth and broader perspective, which provides an objective data basis for the development…
This work presents a set of interconnected open source big data technologies through an example case to demonstrate the processes used to generate, process, store, and consume real-time wellsite information transfer standard markup language (WITSML)…
The following contribution illustrates effects and potentials that digitalization has on the supply chain. Supply Chain Management itself is considered to be a tool for visualization, optimization and synchronization of various groups of processes…
With the development of municipal modernization, the governance and supervision of municipal solid waste become more and more complicated. New supervision methods are required. From the perspective of big data chain, this paper designs the specific…
The article deals with issues related to the transition to digitalization of higher professional education, as well as with the widespread use of distance education technologies. The analysis of methods for monitoring the quality of education of…
The energy data scope is very broad including oil and gas, coal, minerals, new energy, renewable and conversion energy, electricity, and others. The different volume, variety, veracity, and velocity of data have challenge to address with the energy…
The rugged geographies, geomorphologies and complex geological environments make the explorers more challenging exploration and production (E & P). Despite challenges, many sedimentary basins, associated oil & gas fields and E & P Ventures are…
Smart city governance (SCG) is a new paradigm of urban policy, planning, and management that able to solve emerging challenges of urban areas along with ensuring urban sustainability. Data-driven technology provides an opportunity to transform the…
In order to robustly characterize a reservoir and make reservoir management decisions, it is paramount thatan integrated and comprehensive study use all available static and dynamic data including petrophysical,geological, geophysical, engineering,…
Through the increasing use of interconnected sensors, instrumentation, and smart machines, and the proliferation of social media and other open data, industrial operations and physical systems are generating ever increasing volumes of data of many…
with the advent of the era of big data, people's way of thinking and habits have changed greatly. In Colleges and universities, big data has the characteristics of massive, high growth and diversity. Colleges and universities should seize the…
today, multimedia database management is the most important for the new generation and specifically in big data issues for instant saving, calling and modifying operations for many types of documents as text, video and audio. A huge number of…
With the continuous development of big data in modern education informatization, the content of teaching experiments has become more and more abundant, the types of laboratory equipment have become more diversified, and the overall experiment content…
Oil and gas industry is a data-driven industry as it depends massively on information technology. According to internal statistics, the amount of data coming from upstream alone is doubling every two years. This data arrives through a wide variety of…
With the in-depth construction of the "digital pipeline", the full pipeline system has digitally upgraded various systems through the use of advanced information networking technologies, such as the Internet of Things and mobile Internet, and…
In order to robustly characterize a reservoir and make reservoir management decisions, it is paramount that an integrated and comprehensive study use all available static and dynamic data including petrophysical, geological, geophysical, engineering,…