This paper reviews how upstream oil and gas organizations can rapidly dissect an expansive volume of data by taking steps to amalgamate all the data by combining the operational data and drilling rig sensor data to real-time windows using advanced…
This paper reviews how upstream oil and gas organizations can rapidly dissect an expansive volume of data by taking steps to amalgamate all the data by combining the operational data and drilling rig sensor data to real-time windows using advanced…
This paper reviews how upstream oil and gas organizations can rapidly dissect an expansive volume of data by taking steps to amalgamate all the data by combining the operational data and drilling rig sensor data to real-time windows using advanced…
Reciprocating compressors are widely used in petroleum industry. A small fault in reciprocating compressor may cause serious issues in operation. Traditional regular maintenance and fault diagnosis solutions cannot efficiently detect potential faults…
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…
Wireless sensor networks (WSN) provide a powerful solution to the task of monitoring the operational conditions of buried and non-buried pipes of different lengths and materials. Due to the limited energy stored in the sensor nodes, the use of…
Reciprocating compressors are widely used in petroleum industry. A small fault in reciprocating compressor may cause serious issues in operation. Traditional regular maintenance and fault diagnosis solutions cannot efficiently detect potential faults…
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…
Natural gas pipeline leaks can cause serious hazards to natural gas transportation and pose considerable risks to the environment and the safety of residents. Therefore, feature extraction of pipeline signals is crucial in natural gas pipeline leak…
Wireless sensor networks (WSN) provide a powerful solution to the task of monitoring the operational conditions of buried and non-buried pipes of different lengths and materials. Due to the limited energy stored in the sensor nodes, the use of…
For the petroleum industry in the big data period, it is necessary to fully exploit the great potential value of big data in the petroleum industry. Although data mining has achieved remarkable results in many industries, its application in the field…
In this paper, a novel particle swarm optimization (PSO) algorithm is proposed in order to improve the accuracy of the traditional support vector machine (SVM) approaches with applications in analyzing data of oil pipeline leak detection. In the…
Reciprocating compressors are widely used in petroleum industry. A small fault in reciprocating compressor may cause serious issues in operation. Traditional regular maintenance and fault diagnosis solutions cannot efficiently detect potential faults…
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…
Natural gas pipeline leaks can cause serious hazards to natural gas transportation and pose considerable risks to the environment and the safety of residents. Therefore, feature extraction of pipeline signals is crucial in natural gas pipeline leak…
This paper reviews how upstream oil and gas organizations can rapidly dissect an expansive volume of data by taking steps to amalgamate all the data by combining the operational data and drilling rig sensor data to real-time windows using advanced…
This paper reviews how upstream oil and gas organizations can rapidly dissect an expansive volume of data by taking steps to amalgamate all the data by combining the operational data and drilling rig sensor data to real-time windows using advanced…
Aiming at the reservoir with natural fractures in SHB oil and gas field, the support vector machine (SVM) and support vector regression method were used to predict the daily production of 18 blow wells in SHB main fault zone. By inputting variables…
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…
Underground strata are reflected in various information sources in petroleum exploration, including good logging and drilling data. Real-time measurement parameters obtained from mud logging can provide data support for the early discovery of oil and…
Reciprocating compressors are widely used in the petroleum industry, and a small fault in reciprocating compressors may cause serious issues in operation. Monitoring and detecting potential faults help compressors to continue normal operation. This…
Oil and gas pipeline integrity management has always been a field of huge data accumulation. In recent years, the rise of big data technology has provided new ideas for pipeline integrity evaluation technology. Firstly, this paper systematically…
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…
Big Data is a popular research area where a vast amount of data is created, replicated, and consumed by society. The quality of the data used directly influences big data knowledge discovery. The existence of noise is the most prevalent problem…
The diversity of attribute categories brings certain difficulties to data feature detection. In order to improve the accuracy and efficiency of feature detection, a hybrid attribute feature detection method for power system intelligent operation and…
Pipelines are a nonlinear and complex component to transfer fluid or gas from one place to another. From economic and environmental points of view, the safety of transmission lines is incredibly important. Furthermore, condition monitoring and…
The public service system of national fitness is the condition and guarantee for the public to participate in various fitness activities. In order to effectively integrate the existing national fitness service resources and to improve the efficiency…
Hundreds of people dying from heart disease almost every day that is how terrific a delayed diagnosis can be. Living in an advanced era full of intelligent systems, the increasing number of deaths can be reduced. This research paper focuses on the…
The growth of technology and social media websites has increased the potential to online explore different products and places around the globe. While online websites are primarily responsible for the generation of large amounts of data, this big…
A system to detect the corrosion of submarine oil pipeline is introduced, it got the original data by 3 groups ultrasonic sensors and flux leakage sensors. We made multiscale wavelet transform and frequency analysis to multichannels original data and…
Anomaly detection has to do with finding patterns in data that do not conform to an expected behavior. It has recently attracted the attention of the research community because of its real-world application. The correct detection unusual events…
This paper presents an approach for detecting, locating and estimating the size of leak in a pipeline using pressure sensors, differential pressure sensors and flow-rate sensors. To overcome the problem with existing approaches we use differential…
Leak detection in oil pipelines is important for safe operation of pipelines. Negative Pressure Wave (NPW) in pressure curve can be an indication of leakage of a pipeline. In this paper, we propose to use the support vector machine (SVM) learning to…
The objectives of this study were the following: (1) to investigate the correlations between data collected through Internet of Thing (IOT) and unintentional behavior of drivers (2) to create the models based on machine learning techniques to…
In recent years, natural gas was widely used as a primary clean energy source to replace coal-fired in northern cities in China, whose objective is to reduce the severe environmental pollution caused by coal-fired central heating in winter. The rapid…
As an important strategic resource, petroleum has an important significance in real-time analysis and detection of its components in the petrochemical industry. With the continuous development of petroleum resources, in the production process of…
Many fire or explosion accidents have happened because of the high temperature which is the excellent indicator for risk evaluation caused by an oxidation exothermic reaction of sulfurized rust in the production and transportation of…
Accurate prediction of thermophysical properties of compressed air is specifically crucial in optimal design and analyzing performance of a Compressed Air Energy Storage (CAES) system. In this regard, an advanced machine learning method, namely…
The present research was purposed to estimate the heat of vaporization for petroleum fractions and pure hydrocarbons by the lease square support vector machine (LSSVM) as a function of the specific gravity, molecular weight, and boiling point…
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…
The hydrogen fuel is an ideal fuel to achieve the zero-carbon emission for heavy-duty vehicles. The experiments have been conducted under a wide range of operating conditions at different ignition timings (0 to 60°CA bTDC), hydrogen fractions (0–40%)…
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…
In the current research, an analytical method was proposed for rapid quantitative determination of saturates, aromatics, resins and asphaltenes (SARA) fractions of crude oil samples. Rapid assessments of SARA analysis of crude oil samples are of…
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…
In the petroleum refining industries, the hydrodesulfurization (HDS) process is one of the most common techniques for purifying petroleum products from undesirable sulfur species to reduce SO2 emission. However, HDS is still complicated as many…
Wellhead chokes are widely used in the petroleum industry. Owning to the high sensitivity of oil and gas production to choke size, an accurate correlation to specify choke performance is vitally important. The aim of this contribution was to develop…
An important requirement of reservoir management is to understand the properties of reservoir fluids and dependent phase behaviors. This makes it possible to determine the properties of reservoir fluids in laboratory pressure-volume-temperature (PVT)…
As an important strategic resource, petroleum has an important significance in real-time analysis and detection of its components in the petrochemical industry. With the continuous development of petroleum resources, in the production process of…
Present research study explores the flame propagation and combustion characteristics of premixed hydrogen enriched natural gas under a 100 Hz low-frequency alternating-current (AC) electric field with various hydrogen blend ratios (0–100%) and…
Water content of crude oil has always been an important indicator of evaluating the exploiting capacity of an oil field. Accurate rate of water content will optimize the production and decrease energy consumption. Due to the complicated working…