The concept of digital transformation is based on two principles: data drivenexploiting every bit of data sourceand user focused. The objective is not only to consolidate data from multiple systems, but to apply an analytics approach to extract…
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…
The application of big data and artificial intelligence (AI) technology has caused subversive changes to society and industry. As the life-blood of our industry, petroleum is an important material basis for promoting national economy and industrial…
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…
The concept of digital transformation is based on two principles: data drivenexploiting every bit of data sourceand user focused. The objective is not only to consolidate data from multiple systems, but to apply an analytics approach to extract…
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…
The application of big data and artificial intelligence (AI) technology has caused subversive changes to society and industry. As the life-blood of our industry, petroleum is an important material basis for promoting national economy and industrial…
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…
The concept of digital transformation is based on two principles: data drivenexploiting every bit of data sourceand user focused. The objective is not only to consolidate data from multiple systems, but to apply an analytics approach to extract…
Background Controversial coal power plant restart and non-nuke policy were rejected by referendum in Taiwan on 24 Nov 2018. Outcomes affecting energy replenishment and undermining economic stability are criticized politicization because coal energy…
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…
Big data, artificial intelligence, data analytics, machine learning, neural networks are promising prospects in the industry right now and subsequently the posterity for the current technological landscape. Initially, we looked into the overwhelming…
The application of big data and artificial intelligence (AI) technology has caused subversive changes to society and industry. As the life-blood of our industry, petroleum is an important material basis for promoting national economy and industrial…
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…
Background Controversial coal power plant restart and non-nuke policy were rejected by referendum in Taiwan on 24 Nov 2018. Outcomes affecting energy replenishment and undermining economic stability are criticized politicization because coal energy…
To build a Decision Support System(DSS) for equipment support based on big data analysis, The connotation and structure of DSS in big data environment are studied, and the data elements and decision scenario of big data decision for equipment support…
Big data, artificial intelligence, data analytics, machine learning, neural networks are promising prospects in the industry right now and subsequently the posterity for the current technological landscape. Initially, we looked into the overwhelming…
This paper summarizes the related contents of artificial intelligence and big data, analyzes the development of financial field comprehensively, and presents the application of artificial intelligence and big data in the field of finance and…
Performance prediction is one of the important contents of oilfield development. It is also an important content affecting investment decision-making, especially for offshore oilfields with large investment. At present, most oilfields in China have…
The gas kicks occur frequently during the ultra-deepwater high-temperature high-pressure (HPHT) exploration in the South China Sea. They can pose severe risks to well control strategies. The traditional detection method is to analyze the mud-log of…
Seismic data is one of earliest data acquired in a prospect evaluation and the data are utilized throughout the exploration and production stages of a prospect. With recent advances in the handling of big data, it is essential to re-evaluate the best…
To build a Decision Support System(DSS) for equipment support based on big data analysis, The connotation and structure of DSS in big data environment are studied, and the data elements and decision scenario of big data decision for equipment support…
This paper summarizes the related contents of artificial intelligence and big data, analyzes the development of financial field comprehensively, and presents the application of artificial intelligence and big data in the field of finance and…
Background Controversial coal power plant restart and non-nuke policy were rejected by referendum in Taiwan on 24 Nov 2018. Outcomes affecting energy replenishment and undermining economic stability are criticized politicization because coal energy…
Performance prediction is one of the important contents of oilfield development. It is also an important content affecting investment decision-making, especially for offshore oilfields with large investment. At present, most oilfields in China have…
The gas kicks occur frequently during the ultra-deepwater high-temperature high-pressure (HPHT) exploration in the South China Sea. They can pose severe risks to well control strategies. The traditional detection method is to analyze the mud-log of…
Seismic data is one of earliest data acquired in a prospect evaluation and the data are utilized throughout the exploration and production stages of a prospect. With recent advances in the handling of big data, it is essential to re-evaluate the best…
Big data, artificial intelligence, data analytics, machine learning, neural networks are promising prospects in the industry right now and subsequently the posterity for the current technological landscape. Initially, we looked into the overwhelming…
Smart Fields are distinguished with two characteristics: Big Data and Real-Time access. A small smart field with only ten wells can generate more than a billion data points every year. This data is streamed in real-time while being stored in data…
To build a Decision Support System(DSS) for equipment support based on big data analysis, The connotation and structure of DSS in big data environment are studied, and the data elements and decision scenario of big data decision for equipment support…
This paper summarizes the related contents of artificial intelligence and big data, analyzes the development of financial field comprehensively, and presents the application of artificial intelligence and big data in the field of finance and…
The concept of digital transformation is based on two principles: data drivenexploiting every bit of data sourceand user focused. The objective is not only to consolidate data from multiple systems, but to apply an analytics approach to extract…
Performance prediction is one of the important contents of oilfield development. It is also an important content affecting investment decision-making, especially for offshore oilfields with large investment. At present, most oilfields in China have…
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…
The exploration and production of oil and gas lead to many logistics challenges. In the case of the Brazilian offshore production, the operation size and the fact that the exploration occurs up to 300 km apart from the coast make these challenges…
The gas kicks occur frequently during the ultra-deepwater high-temperature high-pressure (HPHT) exploration in the South China Sea. They can pose severe risks to well control strategies. The traditional detection method is to analyze the mud-log of…
Seismic data is one of earliest data acquired in a prospect evaluation and the data are utilized throughout the exploration and production stages of a prospect. With recent advances in the handling of big data, it is essential to re-evaluate the best…
The application of big data and artificial intelligence (AI) technology has caused subversive changes to society and industry. As the life-blood of our industry, petroleum is an important material basis for promoting national economy and industrial…
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…
Background Controversial coal power plant restart and non-nuke policy were rejected by referendum in Taiwan on 24 Nov 2018. Outcomes affecting energy replenishment and undermining economic stability are criticized politicization because coal energy…
Big data, artificial intelligence, data analytics, machine learning, neural networks are promising prospects in the industry right now and subsequently the posterity for the current technological landscape. Initially, we looked into the overwhelming…
The concept of digital transformation is based on two principles: data drivenexploiting every bit of data sourceand user focused. The objective is not only to consolidate data from multiple systems, but to apply an analytics approach to extract…
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…
The application of big data and artificial intelligence (AI) technology has caused subversive changes to society and industry. As the life-blood of our industry, petroleum is an important material basis for promoting national economy and industrial…
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…
Artificial Intelligence (AI) has been widely applied for Safety Inspection in a number of industrial domains. However, individual company usually could not provide sufficient data to support well-trained AI models. Federated Learning, as a new AI…
Downhole tools are complex electro-mechanical systems that perform critical functions in drilling operations. The electronics within these systems provide vital support, such as control, navigation and front-end data analysis from sensors. Due to the…
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…
In order to ensure the safety of industrial production process, identification and early-warning of abnormal working conditions are very important. In this paper, the abnormal "foaming phenomenon" of natural gas purification desulfurization solution…
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…