Smart devices in an Internet of Things (IoT) generate a massive amount of big data through sensors. The data is used to build intelligent applications through machine learning (ML). To build these applications, the data is collected from devices into…
This paper presents the analytics of physics-driven big data in reservoir hydrodynamic simulation and parameter optimization for EOR projects in Daqing oilfield. An application model proposed in this study enables reservoir engineers to dynamically…
Smart devices in an Internet of Things (IoT) generate a massive amount of big data through sensors. The data is used to build intelligent applications through machine learning (ML). To build these applications, the data is collected from devices into…
This paper presents the analytics of physics-driven big data in reservoir hydrodynamic simulation and parameter optimization for EOR projects in Daqing oilfield. An application model proposed in this study enables reservoir engineers to dynamically…
Maintaining well integrity is one of the critical factors in the oil and gas industry. It requires close monitoring during the life cycle of the well, especially in offshore fields, to maximize the well life cycle and avoid catastrophic failure.…
Medical big data have recently received considerable attention in the modern medical systems, since they give great opportunities to mine new medical knowledge. In the wireless medical sensor networks (WMSNs), medical big data can be generated and…
Due to the decrease in commodity prices in a constantly dynamic environment, there has been a constant urge to maximize benefits and attain value from limited resources. Traditional empirical and numerical simulation techniques have failed to provide…
Maintaining well integrity is one of the critical factors in the oil and gas industry. It requires close monitoring during the life cycle of the well, especially in offshore fields, to maximize the well life cycle and avoid catastrophic failure.…
Smart devices in an Internet of Things (IoT) generate a massive amount of big data through sensors. The data is used to build intelligent applications through machine learning (ML). To build these applications, the data is collected from devices into…
This paper presents the analytics of physics-driven big data in reservoir hydrodynamic simulation and parameter optimization for EOR projects in Daqing oilfield. An application model proposed in this study enables reservoir engineers to dynamically…
Current multistage hydraulic fracturing operations in shale are costly, environmentally challenging and inefficient. Multistage hydraulic fracturing operations already represent close to 60% of the total drilling and completion cost for each shale…
Medical big data have recently received considerable attention in the modern medical systems, since they give great opportunities to mine new medical knowledge. In the wireless medical sensor networks (WMSNs), medical big data can be generated and…
Due to the decrease in commodity prices in a constantly dynamic environment, there has been a constant urge to maximize benefits and attain value from limited resources. Traditional empirical and numerical simulation techniques have failed to provide…
It is well known that corrosion drastically shortens the lifespan of pipelines. Pipe wall thinning and leakage due to corrosion are important safety concerns for pipes used in oil, petrochemical, and power plant industries. Cross-sectional…
Maintaining well integrity is critical to sustaining production from mature and aging fields. Disposable fibre optic technology has been deployed in wells in the North Sea to locate known tubing leaks in the completion. The disposable fibre optic…
Current multistage hydraulic fracturing operations in shale are costly, environmentally challenging and inefficient. Multistage hydraulic fracturing operations already represent close to 60% of the total drilling and completion cost for each shale…
Maintaining well integrity is one of the critical factors in the oil and gas industry. It requires close monitoring during the life cycle of the well, especially in offshore fields, to maximize the well life cycle and avoid catastrophic failure.…
It is well known that corrosion drastically shortens the lifespan of pipelines. Pipe wall thinning and leakage due to corrosion are important safety concerns for pipes used in oil, petrochemical, and power plant industries. Cross-sectional…
Modern water networks from municipal network to building networks are plagued with the threat of leaks. Leaks create a significant amount of loss of resources. Pressurized water pipelines are more susceptible due to the high pressure at which water…
Medical big data have recently received considerable attention in the modern medical systems, since they give great opportunities to mine new medical knowledge. In the wireless medical sensor networks (WMSNs), medical big data can be generated and…
Maintaining well integrity is critical to sustaining production from mature and aging fields. Disposable fibre optic technology has been deployed in wells in the North Sea to locate known tubing leaks in the completion. The disposable fibre optic…
Due to the decrease in commodity prices in a constantly dynamic environment, there has been a constant urge to maximize benefits and attain value from limited resources. Traditional empirical and numerical simulation techniques have failed to provide…
Current multistage hydraulic fracturing operations in shale are costly, environmentally challenging and inefficient. Multistage hydraulic fracturing operations already represent close to 60% of the total drilling and completion cost for each shale…
Modern water networks from municipal network to building networks are plagued with the threat of leaks. Leaks create a significant amount of loss of resources. Pressurized water pipelines are more susceptible due to the high pressure at which water…
Smart devices in an Internet of Things (IoT) generate a massive amount of big data through sensors. The data is used to build intelligent applications through machine learning (ML). To build these applications, the data is collected from devices into…
This paper presents the analytics of physics-driven big data in reservoir hydrodynamic simulation and parameter optimization for EOR projects in Daqing oilfield. An application model proposed in this study enables reservoir engineers to dynamically…
Maintaining well integrity is one of the critical factors in the oil and gas industry. It requires close monitoring during the life cycle of the well, especially in offshore fields, to maximize the well life cycle and avoid catastrophic failure.…
Smart devices in an Internet of Things (IoT) generate a massive amount of big data through sensors. The data is used to build intelligent applications through machine learning (ML). To build these applications, the data is collected from devices into…
In modern geopolitical conditions, the processes of international hydrocarbon trade are becoming more complicated. World trends dictate the development of new solutions and adaptation to the external environment. The key factors contributing to the…
We assessed freshwater consumption, greenhouse gas (GHG) emissions, and air emissions of using compressed and liquefied natural gas (NG) as transportation fuels by three heavy-duty NG vehicles (NGV) types from a wells-to-wheels (WTW) perspective. We…
Natural gas is a kind of clean energy with high calorific value, but raw natural gas contains a certain amount of acid gas CO2, which will cause problems like heating value reduction and pipeline corrosion. Therefore, it is necessary to remove CO2…
One of the main environmental problems in oil production in the world today is the utilization of associated petroleum gas (APG) by combustion it in flares. At the same time, this process has enormous economic damage, since APG is a potential raw…
Pipelines are the safest and most cost-effective alternative for transporting oil and refined products. Nevertheless, accidental losses of containment (LOCs) may occur, thus posing significant threats to people and the surrounding environment. These…
The petrochemical industry has received considerable attention from many sectors in our society. Petroleum spill has been frequently reported due to the lack of appropriate protocols during exploration, refining, transportation, and storage. An…
The produced fluids in a subsea field development can be transported from the subsea well to a floating production unit using pipelines where they are thereafter offloaded to a tanker (surface ship). The flow direction is reversed in the case of CO2…
Petroleum contamination of environmental matrices is a pervasive, global problem. Crude oil exploration, processing, handling and transport release significant amounts of petroleum hydrocarbons into the environment. Many petroleum compounds are known…
Petroleum hydrocarbons (PHC) enter the environment due to exploration, transportation, usage and spills. PHC contamination is of major concern worldwide due to the damage they cause to the environment. Clean up of hydrocarbon-contaminated sites is…
Due to the increase in the volume of extracted, processed and transported oil and petroleum products, emergency situations are becoming more frequent, accompanied by a spill of oil and petroleum products, which has disastrous consequences for the…
Petroleum hydrocarbons are a class of anthropogenic compounds including alkanes, aromatic hydrocarbons, resins, asphaltenes and other organic matters, and soil pollution caused by petroleum hydrocarbons has drawn increasing interest in recent years.…
1 Scope This document specifies requirements for and gives guidance on the application of life cycle costing to create value for the development activities and operations associated with drilling, exploitation, processing and transport of petroleum,…
Crude oil is one of the critically needed resources. It is the main pillar supporting almost everything we rely on in daily life. Unfortunately, due to many factors, crude oil costs too much. Transportation is one of the critical factors that affect…
Crude oil is considered as a major source of energy all over the world. Midstream refers to the various methods of transportation. Important issues that oil transportation methods face are spills and inadvertent emissions. Therefore, most of the…
The present work focuses on the improvement of flow properties during the transportation of heavy oil via 0.0254-, 0.0381-, and 0.0508-m-diameter pipelines. The effect of temperature, water cut, natural extract Madhuca Longifolia (ML), and potato…
Transportation of heavy crude oil through pipelines poses a great challenge in oil and gas industry. Crude oil chokes the pipelines when the temperature drops below the pour-point temperature. In the present study, a bio-based additive, i.e., Cashew…
The 2019 EU energy security agenda has led to the concept of solidarity: a coordinated response of Member States to “high-impact, low-probability” events jeopardizing the EU energy supply. At the core of this paper is a modeling analysis of storage…
Growing estimates of natural gas resources, including a new category of unconventional gas, suggest that accessible supplies of this least carbon-intensive of the fossil fuels may play a starring role in the green energy transition. This creates new…
The development of concentrated and highly stable oil-in-water (O/W) emulsion is considered to be a cost-effective alternative for the transportation of produced heavy crude oils. However, the demulsification of a transported O/W emulsion is…
The rapid expansion of production of North American petroleum crude oil from shale has led to a significant increase in rail transport of crude oil. Broken rails are frequent causes of train accidents. Ultrasonic rail defect inspection is widely used…
The utilization of Liquefied Natural Gas (LNG) in the heavy-duty transport sector is a convenient and cost-effective step towards a sustainable future. However, there are questions regarding LNG fuel quality and destructive particles for engines.…
Although the problem of wax deposition in multiphase transportation pipelines have been addressed and some related wax deposition models have been developed in recent years, the complex wax deposition paths derived from the potential variety of flow…