Zhongguo Shiyou Daxue Xuebao (Ziran Kexue Ban)/Journal of China University of Petroleum (Edition of Natural Science)

Zhongguo Shiyou Daxue Xuebao (Ziran Kexue Ban)/Journal of China University of Petroleum (Edition of Natural Science)

Scoupus Indexed(2023)


Zhongguo Shiyou Daxue Xuebao (Ziran Kexue Ban)/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 Petroleum university periodical society . JCUP welcomes all original papers of engineering, earth science around the world from any sorts of professionals.

01ISSN: 1673-5005

Paper Deadline

Submission Deadline
( Vol 47 , Issue 06 )
10 Dec 2023

Publish On
( Vol 47 , Issue 06 )
31 Dec 2023

Time Countdown

All Published Journal
Zhongguo Shiyou Daxue Xuebao (Ziran Kexue Ban)/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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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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Heat production law and temperature control method of milling tools for workover under action of thermo-mechanical coupling

The refined control of heating substations is of great significance for on-demand heating provision and for the efficient operation of district heating systems (DHSs). This paper proposes an integrated control strategy for substations based on the prediction of the water-supply temperature and indoor temperature. Firstly, online sequential extreme learning machine (OS-ELM) is used to predict the water-supply temperature. Then, a linear prediction model is established to predict the indoor temperature. Finally, the integrated regulation strategy is established with the goal of minimizing ope

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