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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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Lizi Jiaohuan Yu Xifu/Ion Exchange and Adsorption Fa yi xue za zhi

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 04 ) 25 Apr 2024

Publish On
( Vol 48 , Issue 04 ) 30 Apr 2024

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Journal of China University of Petroleum (Edition of Natural Science)
Leading Academic Lab Experimental Trial Demonstrating the Intelligent Drill Pipe Technology Functionality

Nowadays, it is common for oil and gas boreholes to be drilled with many sensors located at the bottom-hole assembly to continuously measure directional and geological information while drilling. The measured information must be transmitted to the surface in real-time, so that engineers on the surface can monitor and navigate the well bores to targeted reservoirs in real-time and make educated decisions about the boreholes during drilling operations. Many telemetry methods have been developed in the past five decades to uplink the information in the boreholes in real-time during drilling opera

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Design and Analysis of a Sustainable Power System for Healthcare Centers Using Renewable Energy Sources

Solar photovoltaic is one of the commonly renewable energy sources using in Ethiopia according to its geographical conditions and availability of ample solar insolation. Solar Photovoltaic (PV) systems have been shown to significantly reduce greenhouse gas emissions and environmental devastation caused by the use of nonrenewable energy sources. Nigist Eleni Mohammed Memorial Referral Hospital, which was used as a case study in this study, is also dealing with these issues of disparity and undependable electrical power supply. As a result, the purpose of this research paper was to carefully ana

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Colitis classification based on deep learning techniques using SVM

Colitis is an inflammation of the colon's inner lining that is commonly brought on by an infection or an allergic reaction. The patient's general health may be significantly impacted by how severe this illness is. Although there is no known cure for this illness, deep learning-based early disease diagnosis and severity grading can stop the disease from progressing to more dangerous phases. In this paper, we offer a technique for classifying colon illnesses based on SVM and convolutional neural networks. When used to diagnose four different types of colitis illnesses, the model demonstrated goo

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Invasion of the Gulf of Suez Wells with ICD Completion to Delay Water Contravention

The Gulf of Suez basin contains many fields most of these fields confronting with water invasion. Inflow control technology is used to manacle the unfavorable effects of water coning phenomena that delay water breakthrough. It balances the inflow between well bore and completion by adding extra pressure drop between the reservoir and the well bore. This paper describes modeling of using inflow control devices in Gulf of Suez horizontal wells that never used this technique before and also compare this modeling of prediction data with the actual data for horizontal well already completed and pro

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Optimization of Performance Characteristics of Hybrid Polymeric Composite Materials Prepared by Friction Stir Process Technique Joint with Grey Relational Analysis

In this work, determine optimum process parameters regarding the various performance characteristics of Friction Stir Processing (FSP) for prepared polymeric hybrid composite materials, which including mechanical and physical properties to evaluate the operation success. Through this work the effect of adding different ratios of (Graphite, Al2O3 and Cu) as reinforcement particles to the binary polymeric blend (85%HDPE:15%PP) was study. The results of mechanical and physical tests indicate there is a significant improvement in the (flexural strength, flexural modulus, maximum shear strength, ha

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