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…
Accelerating the deep integration of digitalization and industrialization is an important way and inevitable for the energy industry to achieve high-quality development. Big data, artificial intelligence and other technologies are key production…
"Big Data is the oil of the new economy" is the most famous citation during the three last years. It has even been adopted by the World Economic Forum in 2011. In fact, Big Data is like crude! Its valuable, but if unrefined it cannot be used. It must…
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…
Big data refers to store, manage, analyze, and process efficiently a huge amount of datasets and to distribute it. Recent advancements in big data technologies include data recording, storage, and processing, and now big data is used in the refinery…
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…
Location data rapidly grow with fast-changing logistics and business rules. Due to fast-growing business ventures and their diverse operations locally and globally, location-based information systems are in demand in resource industries. Data sources…
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…
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…
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…
Accelerating the deep integration of digitalization and industrialization is an important way and inevitable for the energy industry to achieve high-quality development. Big data, artificial intelligence and other technologies are key production…
"Big Data is the oil of the new economy" is the most famous citation during the three last years. It has even been adopted by the World Economic Forum in 2011. In fact, Big Data is like crude! Its valuable, but if unrefined it cannot be used. It must…
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…
Big data refers to store, manage, analyze, and process efficiently a huge amount of datasets and to distribute it. Recent advancements in big data technologies include data recording, storage, and processing, and now big data is used in the refinery…
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, the current status and research prospect of big data and intelligent optimization methods in oilfield development were reviewed and discussed, including the basic concepts and characteristics of the techniques, the production problems…
Location data rapidly grow with fast-changing logistics and business rules. Due to fast-growing business ventures and their diverse operations locally and globally, location-based information systems are in demand in resource industries. Data sources…
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 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…
Besides the rapid developments in the energy industry, there are substantial technological advances. The energy industry is calling for a strategic transformation of operation and business models through digital technologies and integrated data…
Accelerating the deep integration of digitalization and industrialization is an important way and inevitable for the energy industry to achieve high-quality development. Big data, artificial intelligence and other technologies are key production…
"Big Data is the oil of the new economy" is the most famous citation during the three last years. It has even been adopted by the World Economic Forum in 2011. In fact, Big Data is like crude! Its valuable, but if unrefined it cannot be used. It must…
In this paper, the current status and research prospect of big data and intelligent optimization methods in oilfield development were reviewed and discussed, including the basic concepts and characteristics of the techniques, the production problems…
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…
Big data refers to store, manage, analyze, and process efficiently a huge amount of datasets and to distribute it. Recent advancements in big data technologies include data recording, storage, and processing, and now big data is used in the refinery…
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…
Location data rapidly grow with fast-changing logistics and business rules. Due to fast-growing business ventures and their diverse operations locally and globally, location-based information systems are in demand in resource industries. Data sources…
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…
Besides the rapid developments in the energy industry, there are substantial technological advances. The energy industry is calling for a strategic transformation of operation and business models through digital technologies and integrated data…
The Oil and Gas (O&G) industry is embracing modern and intelligent digital technologies such as big data analytics, cloud services, machine learning etc. to increase productivity, enhance operations safety, reduce operation cost and mitigate adverse…
In this paper, the current status and research prospect of big data and intelligent optimization methods in oilfield development were reviewed and discussed, including the basic concepts and characteristics of the techniques, the production problems…
Our definition of 'The Big Data' is the ability of having all the data set at the point of decision-making.Several documented research shows that less than 5% of all the data acquired in the oil and gas industry areactually utilised. Despite these…
The Oil and Gas (O&G) industry is embracing modern and intelligent digital technologies such as big data analytics, cloud services, machine learning etc. to increase productivity, enhance operations safety, reduce operation cost and mitigate adverse…
Besides the rapid developments in the energy industry, there are substantial technological advances. The energy industry is calling for a strategic transformation of operation and business models through digital technologies and integrated data…
Our definition of 'The Big Data' is the ability of having all the data set at the point of decision-making.Several documented research shows that less than 5% of all the data acquired in the oil and gas industry areactually utilised. Despite these…
Big Data is the massive amount of data that is generated at such a high speed that is very difficult to analyze with traditional tools. Hadoop provides distributed storage and processing, to extract useful information from such huge data. On the…
Big data analytics (BDA) is a maturing technology that is gaining momentum in the upstream oil and gas industry. The practice centers on aggregating all data from different sources into a "data lake" or equivalent storage for analytics and reporting.…
Sisi and Nubi (SNB) fields are two adjacent primarily gas fields located 25 km offshore from the modern Mahakam delta These fields are complex from a reservoir management point of view with hundred thousands of Static & dynamic data, and continuously…
The rapid growth in data collection, storage, and transformation technologies offered new approaches that can be effectively utilized to improve traffic crash prediction. Considering the probability of traffic crash occurrence vary due to the…
The Oil and Gas (O&G) industry is embracing modern and intelligent digital technologies such as big data analytics, cloud services, machine learning etc. to increase productivity, enhance operations safety, reduce operation cost and mitigate adverse…
Big Data is the massive amount of data that is generated at such a high speed that is very difficult to analyze with traditional tools. Hadoop provides distributed storage and processing, to extract useful information from such huge data. On the…
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…
Big data analytics (BDA) is a maturing technology that is gaining momentum in the upstream oil and gas industry. The practice centers on aggregating all data from different sources into a "data lake" or equivalent storage for analytics and reporting.…
Sisi and Nubi (SNB) fields are two adjacent primarily gas fields located 25 km offshore from the modern Mahakam delta These fields are complex from a reservoir management point of view with hundred thousands of Static & dynamic data, and continuously…
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…
Accelerating the deep integration of digitalization and industrialization is an important way and inevitable for the energy industry to achieve high-quality development. Big data, artificial intelligence and other technologies are key production…
"Big Data is the oil of the new economy" is the most famous citation during the three last years. It has even been adopted by the World Economic Forum in 2011. In fact, Big Data is like crude! Its valuable, but if unrefined it cannot be used. It must…
The rapid growth in data collection, storage, and transformation technologies offered new approaches that can be effectively utilized to improve traffic crash prediction. Considering the probability of traffic crash occurrence vary due to the…