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…
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…
Working at an oil and gas facility, such as a drilling rig, production facility, processing facility, or storage facility, involves various challenges, including health and safety risks. It is possible to leverage emerging digital technologies such…
Today, modern industrial equipment is very complex as it involves sophisticated assets and systems. Thus, machine equipment optimization and safety have become operators' main concerns in the quest for maintaining optimum operational efficiency,…
Energy is an important driving force for the social and economic development. However, with the development of the industrial revolution and the world economy, the energy crisis is becoming more and more serious, and with the increasing greenhouse…
Intelligent oil and gas system is becoming more and more popular. Carbonate lithology is a crucial part of reservoir characterization. The classification of lithology is an important task in petroleum exploration and engineering since it influences…
Drilling data shows the features of a large number, various types and dispersing. To make drilling decisions, these features can not support the analysis of multidimensional rapidly and effectively. Based on the HADOOP architecture, this paper puts…
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…
In this research project, we proposed a novel customer persona algorithm based on unsupervised clustering algorithms with additional important indicators for scoring within each class. This algorithm is tailored for the PetroChina Southwest Oil and…
Accurate and stable natural gas price forecasts are essential for effective management of energy systems. However, due to the mixed frequency of data and the inherent nonlinear fluctuation characteristics of natural gas price changes, it is difficult…
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…
In recent years economic an social activity fields is based on data. Oil and gas industry leaders understand the value of big data and are interested in digital oil industry becoming a reality. Here is big data is analysed as a key component in based…
In recent decades, commodities have attracted the attention of a large number of investors and financial professionals, and their prices have become very important for investors and policy makers. Although natural gas is widely used as a clean…
Industrial process control systems collect a vast amount of production data, especially time-series data from various sensors in a plant. This data provides a plethora of potential use cases for AI and machine learning that can help plant operators…
Currently the use and application of technology in every company's operational activities has changed the way companies conduct their business. With the use of technology, business competition is increasing, companies in this case petroleum industry…
Most of the oil wells in China use sucker rod pump. Traditionally, manual patrol is used to find the working conditions of pumping wells. In the trend of oilfield automation and intelligence, this traditional working mode can not adapt to the…
The oil-and-gas industry is Russia's top source of budget income. This industry is moving towards more pronounced use of IT in order to minimize oil production and refining costs. Notably, any major oil refinery prioritizes not only the final-product…
In the oil and gas industry, there is a growing demand for application of big data analytics and artificial intelligence (AI) technologies to optimize operations and reduce cost. In this study, we work on the productivity prediction, which is an…
Big data (BD) analytics is one of the critical components in the digitalization of the oil and gas (O&G) industry. Its focus is managing and processing a high volume of data to improve operational efficiency, enhance decision making and mitigate…
Intelligent oil and gas system is becoming more and more popular. Carbonate lithology is a crucial part of reservoir characterization. The classification of lithology is an important task in petroleum exploration and engineering since it influences…
Route optimization has been a research topic for many years in the maritime industry and it constitutes one of the key components to improving energy efficiency and sustainability in ship operations. This paper deals with the challenge of estimating…
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…
Demand forecasting in the energy sector is essential for both countries and companies to plan their supply and demand. Agents in the highly volatile oil markets have to act fast and data-driven. In the literature, studies on oil or gasoline demand…
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…
In recent years economic an social activity fields is based on data. Oil and gas industry leaders understand the value of big data and are interested in digital oil industry becoming a reality. Here is big data is analysed as a key component in based…
The energy data scope is very broad including oil and gas, coal, minerals, new energy, renewable and conversion energy, electricity, and others. The different volume, variety, veracity, and velocity of data have challenge to address with the energy…
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…
Big data analysis technology can be used to transform massive data of oil production engineering into knowledge that can be used to guide oilfield production. Due to the lack of suitable large data analysis tools, a large data analysis software…
With the rapid development of information technology and digital communication, the data types are more abundant by integration of various technologies. In this paper, based on the analysis of a large number of historical data of oil and water wells,…
In sample analysis, because of different types of sample assaying project result in different types of data models to be used for storing these different types of assaying data. So far, all assaying data models almost employ relational data model, it…
The history of oil and gas development and production is a history of data development. The generation of a large amount of information data has laid the cornerstone for the application of big data analysis. How to effectively mine data resources,…
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…
At present, the application of big data analysis technology is developing rapidly. It has achieved remarkable results and benefits in the electricity business, the internet and other areas. But in the field of petroleum engineering, the big data…
The development and maturity of the big data technology is a great opportunity for the oil and gas industry. It provides a new way to solve many problems which puzzle the oil and gas exploration. At the same time it is also a huge challenge.…
Petroleum pipelines are best mode of transportation of crude oil, refined oil and by products of petroleum not only within the country but outside as well. Within the refinery these pipelines are in form of heater tubes and pipes linked/ connected to…
The oil and gas industrial sector is nowadays inclined towards utilizing smart field technologies for optimizing various operations of upstream, midstream and downstream sectors. The recent advances in Internet of things (IoTs) have promising…
Tank floor corrosion has been a significant risk of petroleum and petrochemical industry. For tank floor inspection, acoustic emission qualitative methods is generally in the industry, which have some problems such as lack of accuracy. In this paper,…
With the cost reducing and efficiency increasing background in the oil and gas industry, due to the huge cost advantage, the application of acoustic emission detection technology in storage tank bottom corrosion has gradually expanded. Firstly, the…
The oil and gas industry owns expensive and widely-spread assets. Any fault in this complex transportation network may result in accidents and/or huge losses thereby triggering various environmental and economic issues. Thus, real-time monitoring and…
In recent years, gas leaks have become a major problem in households that use household gas, so we have developed the proposed gas leak detection and monitoring system. An LPG leak-detecting system prevents risks like gas cylinder explosions. Given…
Pipelines are one of the most common systems for storing and transporting petroleum products, both liquid and gaseous. Despite their durable structures, leakages can occur for many reasons, causing environmental disasters, energy waste, and, in some…
Frequently occurred oil leaking accidents can induce significant damage to the ocean ecosystem and environment. Integrated buoy sensing, which functions as a tool for periodically monitoring oil existence, plays an essential role in oil leakage…
With the development of science and technology, the Internet of things technology has been gradually applied to various fields, it has become one of hot spot after the computer, the Internet and mobile communication technology. This paper focuses on…
In recent times the oil and gas industry is following the trend of digital transformation. The digital transformation includes implementing innovative solutions to improve and control the assets of the Oil and Gas companies with more reliable and…
Petroleum industry has started to embrace the advanced Petroleum Cyber-Physical System (CPS) technologies. Offshore petroleum CPS is particularly difficult to build, mainly due to the challenge in detecting and preventing offshore oil leaking. During…
The continuous population increase in many developing and developed countries leads to an increase in CO2 and SO2 emissions and oil consumption at an alarming rate in many sectors, mainly the transportation sector. As a result, natural gas is rapidly…
Understanding maritime network structure and traffic flow changes is a challenging task that must incorporate economic, energy, geopolitics, maritime transportation, and network sciences. Crude oil is the most imported energy in the world.…
The paper presents a theft-prevention system, called the “Security Sensor System” (SSS), currently deployed on 50+ experimental trucks for Liquid Petroleum Gas (LPG) bulk distribution, and integrated on an Oil &
With the development of oil fields entering the middle and late stages, the crude oil output of each exploitation factory is gradually decreasing, and the contradiction between insufficient crude oil output and excess processing capacity is becoming…
The import and export of crude oil are vastly affected by the economy of a developing country. It can be useful for the production of petroleum products. Likewise, the developing country, India is completely relying on the import of crude oil from…