With the breakthrough and progress of shale oil and gas exploration, the strong heterogeneity of shale has been highly paid attention. Relying on the traditional geological methods, the classification of shale is difficult to meet the current needs…
The development of economic forestry industry is an important support in the process of rural revitalization strategy and precise poverty alleviation, as well as enrichment of the people. As the market of economic forestry products is close to a…
In oil exploitation, we often improve oil recovery by water injection, which is also the main reason to increase the water content of crude oil. At present, the most important artificial water injection technology in China is based on reservoir…
Large databases of legacy hydrocarbon reservoir and well data provide an opportunity to use modern data mining techniques to improve our understanding of the subsurface in the presence of uncertainty and improve predictability of reservoir…
Gaining insights from the dense network of interrelated documents involved in E&P projects requires experience, knowledge, and awareness about the existence of the required data. This framework aims to facilitate the decision-making process while…
Predicting risk map of traffic accidents is vital for accident prevention and early planning of emergency response. Here, the challenge lies in the multimodal nature of urban big data. We propose a compact neural ensemble model to alleviate…
The prediction of reservoir fluid production law play a key role in offshore oil field development plan design. It determines the parameter selection of pump displacement, oilfield submarine pipe capacity, platform fluid handling capacity, power…
Integrated asset modeling, application of big data, and automation are among the top emerging trends in the oil and gas industry. The value associated with such implementation projects is very closely linked with the efficient use of the project…
The current era of big data technology development hot, at the same time, there are a lot of geophysical exploration technology, each has shortcomings, but also has their own advantages. Nowadays, all kinds of geophysical exploration of advanced…
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…
Due to the potential severity of oil and gas pipeline accidents, the accurate assessment of defective pipelines is a critical focus in petroleum engineering. Some parameters in the assessment standards are, however, limited in their technologies.…
Our research aims to analyze how the uncertainties and risks of the overseas oil & gas investment environment change over time and reveal the specific occurrence probabilities of risk on different levels. In the process of long-drawn overseas oil &…
Application of big data is analysed via the present information management of petroleum enterprises in this paper. The logical structure and application architecture are proposed based on hodiernal production, administration and management of oil…
In big data, the large number of missing values is a serious problem to compute the correct decision. This problem seriously affects the quality of information query, distorts data mining and analysis, and misleads the decisions. Therefore, in order…
Time savings and bit longevity are major challenges in coal-seam gas (CSG) unconventional fields onshore Queensland. Maximizing rate of penetration (ROP) on the basis of optimal drilling parameters was the key to tackling these issues. A formal…
Inspection interval of safety valves is generally at least once a year specified by the Safety Technical Supervision Regulations for Safety Valves (TSG ZF001-2006) in China, while the maintenance interval of production equipment in oil refining and…
New technologies like big data, cloud computing, machine learning could play a vital role in providing healthcare services to patients. The healthcare industry is producing a large volume of data which is increasing exponentially. Healthcare industry…
The oil & gas industry has been value added from our digital assets since this new century, which helped our industry dig out more advanced algorithm, more robust logic to address the challenge from HPHT wells and deep-water wells. Nowadays the…
The application of big data is of great significance to the quantitative study on provenance. In this paper, taking the bauxite in Yanlong area, western Henan, as an example, the detrital zircon U-Pb age big data obtained by Laser Ablation…
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…
Government-society joint venture mode (PPP mode) can solve the problems of capital shortage and government financial pressure in the construction process of smart cities. At the national level, the application of PPP mode in smart city construction…
Energy is one of the key factors for a country's economic and social growth. Bangladesh is constantly seeking sustainable energy sources for securing its increasing energy demand as energy security is a national concern. Currently, Bangladesh is…
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…
In the era of digitization of oil and gas industry, application of big data that is generated in the process of oil and gas exploration and development can boost the construction of digital and intelligent oilfield. The paper has introduced the…
"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…
Agricultural Internet of things (AIoT) promotes the modernization of traditional agricultural production and marketing model. However, the existing time series prediction methods for agricultural production and agricultural product (AP) marketing…
With the rapid improvement of exploration and monitoring technologies, the oil and gas industry has accumulated a large amount of data in the fields of seismic exploration, logging, production, and development. How to transform the huge "data…
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…
Abstract: The corporate annuity plan is not only an important pillar of the national social insurance system, but also an integral part of corporate governance mechanism, which plays an important role in employee incentives. This paper systematically…
The prevention and control of communicable diseases such as COVID-19 has been a worldwide problem, especially in terms of mining towards latent spreading paths. Although some communication models have been proposed from the perspective of spreading…
Rigorous mechanistic models of refining processes are often too complex, which results in long modeling times, low model computational efficiencies, and poor convergence, limiting the application of mechanistic-model-based process optimization and…
The article deals with issues related to the transition to digitalization of higher professional education, as well as with the widespread use of distance education technologies. The analysis of methods for monitoring the quality of education of…
Zoning is widely used in land-use control and the criteria for a 'good' zoning scheme varies dramatically for different purposes of zoning. Studies during the past decades have presented many theoretical frameworks for the design and evaluation of…
In the field of petroleum, chemical industry and food manufacturing, heat exchangers are often used chemical equipment for their simple composition. With advantages like easy to transport and relatively low cost, the shell and tube heat exchanger has…
The shear velocity is one of the most critical parameters in determining the mechanical rock elastic properties, which serve as inputs for different studies such as wellbore stability, mechanical earth modeling, hydraulic fracturing, and reservoir…
The application of big data and artificial intelligence (AI) technology has caused subversive changes to society and industry. As the life-blood of our industry, petroleum is an important material basis for promoting national economy and industrial…
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…
Healthcare system facilitates the treatment of patients with the support of wearable, smart, and handheld devices, as well as many other devices. These devices are producing a huge bulk of data that need to be moulded for extracting meaningful…
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…
Digital twin is the innovation backbone of the smart manufacturing by delivering virtual representation of the real world. Aiming at constructing virtual representations of visual scenes, scene graph generation is a digital twin task that not only…
Background: Since the introduction of the first electrical resistivity well log by Marcel and Conrad Schlumberger in 1927, the field of petrophysical well logging experienced significant technological advancements [3]. One of the new technologies was…
Big data-driven ensemble learning is explored in this paper for quantitative geological lithofacies modeling, which is an integral and challenging part of petroleum reservoir development and characterization. Quantitative lithofacies modeling…
Morality and music are the embodiment of people's life thoughts. Pursuing the unity of virtue is of great significance to the ideological and political (IAP) work of college students. The study of college students 'moral standards and behaviors is…
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…
For the deep strata with fracture zone, fault zone and various permeability and fracture loss, the geological conditions are particularly complicated, which makes it particularly difficult to predict the safety density window and engineering risk,…
Oil and gas industry would generate a large volume of produced water during the exploration and production. The geochemistry of the produced water can provide valuable information for the analysis of formation water source evolution and the scale and…
today, multimedia database management is the most important for the new generation and specifically in big data issues for instant saving, calling and modifying operations for many types of documents as text, video and audio. A huge number of…
This paper presents a workflow based on big data analytics to model the reliability of downhole Inflow Control Valves (ICVs) and predict their failures. The paper also offers economic analysis of optimum ICV stroking frequency to maintain valves…
In this paper, an in-depth study on the quantification of influencing factors and big data visualization of key monitoring indicators in the refined oil products market is carried out through fuzzy mathematical methods, and a system for quantifying…
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…