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Journal of China University of Petroleum (Edition of Natural Science)

Journal of China University of Petroleum (Edition of Natural Science)

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Clinical Medicine of China (ISSN:1008-6315) Waiguo Yuyan yu Wenhua China Biotechnology (ISSN:1671-8135)

Journal of China University of Petroleum (Edition of Natural Science)

Journal of China University of Petroleum (Edition of Natural Science) (ISSN: 1673-5005) is a monthly peer-reviewed scopus indexed journal from 2006 to up to now. The publisher of the journal is Ed. Off. Journal of the Univ. Petroleum, China . JCUP welcomes all original papers of engineering, earth science around the world from any sorts of professionals.

01ISSN: 1673-5005

Aim And Scope

Chemical Engineering Mechanical engineering, Energy science Geotechnical Engineering and Engineering Geology Fuel Technology Electrical and electronic engineering Earth and planetary sciences Mechanical engineering Computer science and engineering Energy Engineering Power Technology Energy Engineering Electrical and telecommunication engineering Energy science Control and Systems Engineering

Paper Deadline

Submission Deadline
( Vol 48 , Issue 08 ) 20 Sep 2024

Publish On
( Vol 48 , Issue 08 ) 30 Sep 2024

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Journal of China University of Petroleum (Edition of Natural Science)
Influence of asphalt composition on stability of emulsified asphalt

Five kinds of matrix asphalt were selected to measure the basic properties of different asphalts and the stability of emulsified asphalt. Analysis methods such as four components, infrared spectroscopy, elemental composition, and nuclear magnetic resonance were used, combined with linear correlation and gray correlation entropy analysis methods to study the asphalt. The influence of composition on the stability of emulsified asphalt. The results show that the higher gum content, gum/asphaltene ratio, oxygen content and aromaticity fA in the matrix asphalt is beneficial to the stability of t

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Quantitative identification method of reservoir flow barriers based on self-organizing neural network and K-nearest neighbor algorithm

Traditional reservoir seepage barrier identification methods are mostly qualitative or semi-quantitative, which are small in scale within a single sand body. The identification accuracy and classification efficiency of reservoir seepage barriers are relatively low. Taking the Zaonankong Member 1 oil reservoir in the Cangdong Depression as an example, based on core and well logging data, artificial intelligence machine learning methods were introduced, and a SOM neural network clustering method was proposed. Quantitative identification method of reservoir seepage barrier using SOM algorithm

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Exergy loss characteristic of ammonia/hydrogen blended fuel under gas turbine operating conditions

This article reviews the critical role of material selection and design in ensuring efficient performance and safe operation of gas turbine engines fuelled by ammonia–hydrogen. As these energy fuels present unique combustion characteristics in turbine combustors, the identification of suitable materials becomes imperative. Detailed material characterisation is indispensable for discerning defects and degradation routes in turbine components, thereby illuminating avenues for improvement. With elevated turbine inlet temperatures, there is an augmented susceptibility to thermal degradati

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Molecular dynamics analysis on occurrence characteristics of shale oil and competitive adsorption mechanism of CO2 and oil

The main source of production in the middle and late stages of shale gas extraction is the adsorbed gas in shale, and the adsorbed gas in shale mainly comes from organic matter casein and clay minerals in shale; therefore, this paper uses sodium-based montmorillonite to characterize the clay minerals in shale and study the CH4 adsorption law in clay minerals, and this study has certain guiding significance for shale gas extraction. In addition, this paper also conducts a study on the competitive adsorption law of CH4 and CO2, and at the same time, predicts the theoretical sequestration of C

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Progress and prospect of fracturing fluid system for deep/ultra-deep reservoir reconstruction

Deep/ultra-deep oil and gas reservoirs are an important area for stable/increased oil and gas production in China, with deep burial, nano-micro Due to the characteristics of pore and throat development, conventional well completion methods have a small range of exploitable oil and gas reserves and low productivity. Forming a complex fracture network through volumetric fracturing of horizontal wells, communicating oil and gas in remote wells, and increasing single well production are important means to achieve efficient development. Different In conventional oil and gas reservoirs, the ultra

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