In recent years, big data and artificial intelligence technology have developed rapidly and are now widely used in fields of geophysics, well logging, and well test analysis in the exploration and development of oil and gas. The development of shale…
In recent years, big data and artificial intelligence technology have developed rapidly and are now widely used in fields of geophysics, well logging, and well test analysis in the exploration and development of oil and gas. The development of shale…
In recent years, big data and artificial intelligence technology have developed rapidly and are now widely used in fields of geophysics, well logging, and well test analysis in the exploration and development of oil and gas. The development of shale…
In recent years, big data and artificial intelligence technology have developed rapidly and are now widely used in fields of geophysics, well logging, and well test analysis in the exploration and development of oil and gas. The development of shale…
In recent years, big data and artificial intelligence technology have developed rapidly and are now widely used in fields of geophysics, well logging, and well test analysis in the exploration and development of oil and gas. The development of shale…
Phishing is the most-used malicious attempt in which attackers, commonly via emails, impersonate trusted persons or entities to obtain private information from a victim. Even though phishing email attacks are a known cybercriminal strategy for…
Hydrocarbon production from shale formation has become an essential part of the global energy supply in the past decade. The life of a project in an unconventional play significantly depends on the prediction of Estimated Ultimate Recovery (EUR).…
Hydrocarbon production from shale formation has become an essential part of the global energy supply in the past decade. The life of a project in an unconventional play significantly depends on the prediction of Estimated Ultimate Recovery (EUR).…
Hydrocarbon production from shale formation has become an essential part of the global energy supply in the past decade. The life of a project in an unconventional play significantly depends on the prediction of Estimated Ultimate Recovery (EUR).…
The traditional petroleum reservoir modeling workflow for reservoir characterization, history matching, and field development optimization requires a significant amount of computation during reservoir simulation and post-processing. In this work, we…
The objective of this study was to assess the feasibility of application of analytics techniques in a new heavy oil asset in Kuwait in the following areas: data integration and visualization to support Well, Reservoir and Facility Management (WRFM),…
The objective of this study was to assess the feasibility of application of analytics techniques in a new heavy oil asset in Kuwait in the following areas: data integration and visualization to support Well, Reservoir and Facility Management (WRFM),…
The objective of this study was to assess the feasibility of application of analytics techniques in a new heavy oil asset in Kuwait in the following areas: data integration and visualization to support Well, Reservoir and Facility Management (WRFM),…
Production of oil & gas depends upon the recoverable amount of hydrocarbon existing beneath the underlying reservoir. Reservoir recovery factor provides of the production potential of 'proven reservoirs' which helps the planning of field development…
Production of oil & gas depends upon the recoverable amount of hydrocarbon existing beneath the underlying reservoir. Reservoir recovery factor provides of the production potential of 'proven reservoirs' which helps the planning of field development…
Production of oil & gas depends upon the recoverable amount of hydrocarbon existing beneath the underlying reservoir. Reservoir recovery factor provides of the production potential of 'proven reservoirs' which helps the planning of field development…
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 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 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 U.S. Environmental Protection Agencys (EPA) Superfundthe Comprehensive Environmental Response, Compensation, and Liability Act (CERCLA) databasehas collected and built an open-source database based on nearly 2000 US soil remediation cases since…
The U.S. Environmental Protection Agencys (EPA) Superfundthe Comprehensive Environmental Response, Compensation, and Liability Act (CERCLA) databasehas collected and built an open-source database based on nearly 2000 US soil remediation cases since…
The U.S. Environmental Protection Agencys (EPA) Superfundthe Comprehensive Environmental Response, Compensation, and Liability Act (CERCLA) databasehas collected and built an open-source database based on nearly 2000 US soil remediation cases since…
The U.S. Environmental Protection Agencys (EPA) Superfundthe Comprehensive Environmental Response, Compensation, and Liability Act (CERCLA) databasehas collected and built an open-source database based on nearly 2000 US soil remediation cases since…
The U.S. Environmental Protection Agencys (EPA) Superfundthe Comprehensive Environmental Response, Compensation, and Liability Act (CERCLA) databasehas collected and built an open-source database based on nearly 2000 US soil remediation cases since…
With the continuous development of digitization and informationization, students' data generated by various kinds of application systems in colleges and universities is also accelerating. A big data environment of colleges and universities has been…
With the continuous development of digitization and informationization, students' data generated by various kinds of application systems in colleges and universities is also accelerating. A big data environment of colleges and universities has been…
With the continuous development of digitization and informationization, students' data generated by various kinds of application systems in colleges and universities is also accelerating. A big data environment of colleges and universities has been…
When CO2 is injected into hydrocarbon reservoirs for enhanced oil recovery (EOR), the minimum miscibility pressure (MMP), which defines as the lowest pressure of generating a miscible phase, is an important parameter to determine whether the…
In the present study, experimental and modeling investigations were performed and combined to implement trustworthy paradigms to predict the viscosity value under different circumstances and a wide variety of conditions. The experimental approach was…
Efficient operations at intersections are associated with smooth, safe, and sustainable travel at the network level. It is often challenging to prevent congestion at these locations, especially during rush hours, owing to high traffic demand and…
Efficient operations at intersections are associated with smooth, safe, and sustainable travel at the network level. It is often challenging to prevent congestion at these locations, especially during rush hours, owing to high traffic demand and…
Efficient operations at intersections are associated with smooth, safe, and sustainable travel at the network level. It is often challenging to prevent congestion at these locations, especially during rush hours, owing to high traffic demand and…
Efficient operations at intersections are associated with smooth, safe, and sustainable travel at the network level. It is often challenging to prevent congestion at these locations, especially during rush hours, owing to high traffic demand and…
Efficient operations at intersections are associated with smooth, safe, and sustainable travel at the network level. It is often challenging to prevent congestion at these locations, especially during rush hours, owing to high traffic demand and…
In the informatization and intellectualization era of oil and gas, automation is essential to measure and track detailed performance for routine drilling operations by automatically measuring these individual operations consistently. Presently, the…
In the informatization and intellectualization era of oil and gas, automation is essential to measure and track detailed performance for routine drilling operations by automatically measuring these individual operations consistently. Presently, the…
In the informatization and intellectualization era of oil and gas, automation is essential to measure and track detailed performance for routine drilling operations by automatically measuring these individual operations consistently. Presently, the…
In the informatization and intellectualization era of oil and gas, automation is essential to measure and track detailed performance for routine drilling operations by automatically measuring these individual operations consistently. Presently, the…
Converting existing compression ignition engines to spark ignition approach is a promising approach to increase the application of natural gas in the heavy-duty transportation sector. However, the diesel-like environment dramatically affects the…
Machine learning algorithms are effective tools to reduce the number of engine dynamometer tests during internal combustion engine development and/or optimization. This paper provides a case study of using such a statistical algorithm to characterize…
Detection of small leaks in gas pipelines is an important and persistent problem in the oil and gas industry. However, the industry is beginning to investigate how tools of Machine Learning, Artificial Intelligence, Big Data, etc. can be used to…
Detection of small leaks in gas pipelines is an important and persistent problem in the oil and gas industry. However, the industry is beginning to investigate how tools of Machine Learning, Artificial Intelligence, Big Data, etc. can be used to…
Detection of small leaks in gas pipelines is an important and persistent problem in the oil and gas industry. However, the industry is beginning to investigate how tools of Machine Learning, Artificial Intelligence, Big Data, etc. can be used to…
Well production in oil fields is a dynamic and complex activity. The patterns and characteristics inherent to the well, such as pressures and flow rates, are changing based on production time and the fluid composition - a complex multiphase mixture…
Well production in oil fields is a dynamic and complex activity. The patterns and characteristics inherent tothe well, such as pressures and flow rates, are changing based on production time and the fluid composition-A complex multiphase mixture…
Directionality in millimeter-wave (mmW) systems make link establishment and maintenance challenging, due to the search-time overhead of beam scanning and the vulnerability of directional links to blockages. In this paper, we propose a communication…
Using data mining's decision tree classification, DBSCN cluster analysis, and K-nearest neighbor algorithm realizes the information mining of natural gas pipeline leak, and alse uncovers the objective laws behind the natural gas pipeline…
The objective of this paper is to share the results and benefits from a new artificial intelligence and predictive data analytics process. This new process integrates both geoscience and engineering requirements to enhance non-metallic pipe…
The objective of this paper is to share the results and benefits from a new artificial intelligence and predictive data analytics process. This new process integrates both geoscience and engineering requirements to enhance non-metallic pipe…
The objective of this paper is to share the results and benefits from a new artificial intelligence and predictive data analytics process. This new process integrates both geoscience and engineering requirements to enhance non-metallic pipe…