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HOME / Intelligent Raman Amplifier for Petroleum and Petrochemical Applications in Nepal - BD Bugler Critical Infrastructure & Optoelectronics
The open-source Python package ramanchada2, along with user-friendly, code-free downloadable and web applications, integrating existing and novel state-of-the-art algorithms for generating, reading,
The petrochemical industry plays an important role in our economies by producing a wide range of materials that fuel various sectors, including manufacturing, agriculture, healthcare and
In this chapter, combining the theoretical basis and practical application of Raman spectroscopy technology, the application of laser Raman
2060 RISE-HT 2060 RISE-HT is a rugged, high-temperature inline Raman spectrometer designed to withstand harsh industrial environments. With its
Application of AI to Oil Refineries and Petrochemical Plants Tetsuya Ohtani *1 Artificial intelligent (AI), machine learning, data science, and other advanced technologies have been progressing
the application of artificial intelligence techniques in petroleum exploration and production. This Special Issue comprises 11 research articles.
From the intricate landscapes of oil & gas to the transformative fields of clean energy and chemicals production, Raman spectroscopy offers a sophisticated solution to
Evidence of stage-based fusion of FTIR, 1 H-NMR and Raman spectroscopic data having resulted in better crude characterization , has
The oil and gas industry, particularly in refining and petrochemical operations, faces complex safety challenges due to the high-risk nature of its processes. Traditional safety protocols, while effective,
Moreover, the business processes of the application systems in many petrochemical enterprises are incomplete, causing the departments in the supply chain to execute their respective processes
Abstract—The review deals the use of Raman spectroscopy for analysis of various objects of petroleum chemistry: crude oils, petroleum products, oil-bearing rocks, petrochemical process catalysts, etc.
However, unlike IR and Raman systems, NMR has been limited to either laboratory-based measurements using high-resolution instru-mentation that is not suitable for application in an online
Adding inline Raman spectroscopy to downstream oil and gas applications can provide valuable insights into process monitoring and control.
This section explores the various applications of the nanomaterials in the oil and petroleum industries and the properties that contributes to these applications. Figure 2 shows a Venn
Alzahawy, A.; Issa, H. Intelligent Petroleum Processing: A Short Review on Applying AI/ML to Petroleum Products Optimization. Preprints 2024,
In this paper a summary of various researchers work on machine learning and artificial intelligence applications and limitations is showcased for upstream and sectors of oil and gas
The petroleum and petrochemical intelligent inspection and fire extinguishing robot has been developed to address the pain points in daily inspections and initial fire extinguishing disposal in the production
Raman and Infrared (IR) spectroscopy combined with multivariate data analysis are valuable and versatile tools for the analysis of complex fluids. This chapter gives a brief overview of
This paper comprehensively explores the application of artificial intelligence (AI) in petrochemical production optimization and scheduling, along
Recognizing the many hot applications of Raman spectroscopy, we herein overview the main and more recent applications for the investigation of a wide range of materials, such as...
In recent years, artificial intelligence (AI) has been widely applied to optimization problems in the petroleum exploration and production industry. This survey offers a detailed literature
These workflows are key to unlock the full power of Raman spectroscopy in combination with AI. We explore the current landscape of digital tools and open resources in Raman
This paper describes the evaluation of a Raman-based process instruments for the qualitative analysis of four different refined fuels, including gasoline blends E10 and E5, diesel, and jet fuel, along with
In recent decades vibrational spectroscopic methods were signifi-cantly improved for bulk analysis of crude oils and petroleum products and especially infrared spectroscopy and Raman
The petroleum industry plays a critical role in the global energy landscape, supplying fuel and raw materials essential for modern economies. With the advent of advanced computing and data
Bruker helps with the extraction, production and processing of petrochemical products, as well as with the protection of our environment and the search for
Providing the pulse of a process Process analytical technology (PAT) for real-time analysis in the pharmaceutical, petrochemical, chemical and food industries can be used for controlling processes
Data are being continuously generated from various operational steps in the oil and gas industry. The recordings of these data and their proper utilization have become a major concern for
4 N. Sanchez-Pi et al. / Intelligent agents for alarm management in petroleum ambient for power grids based on wide-area system vulner- ability assessment to prevent or reduce catastrophic
This article stresses the importance of Open Innovation in the petrochemical industry and discusses the dificulties for the industry to embrace it, especially in light of the advances in intelligent robotic
In China, petroleum companies and research institutions are exploring networked surface facilities, intelligent winches, and remote logging technology, with early-stage applications and research on
In this section, we will highlight existing and emerging applications involving the combination of deep learning and artificial intelligence methods with Raman and/or SERS.
Smart manufacturing will transform the oil refining and petrochemical sector into a connected, information-driven environment. Using real-time and high-value support systems, smart
This review provides a concise overview of the technical and theoretical foundations of Raman spectroscopy, its working principles, and the current challenges associated with its application.
Distributed Raman amplifier (DRA) has been widely studied in recent decades because of its low noise figure and flexible gain. In this paper, we
This paper provides an overview of the applications of AI in petroleum engineering, including exploration, reservoir characterization, production
The application of technology can bring about advancements while also addressing sustainability in AI. For example, achieving levels of sustainability is paramount in the oil and gas
It also highlights up-to-date and emerging uses of deep learning methods in Raman spectroscopy, including approaches for spectral preprocessing, classification, and regression.