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)
Seismic horizon picking technology based on improved DNA algorithms

Picking the reflection horizon is an important step in velocity inversion and seismic interpretation. Manual picking is time-consuming and no longer suitable for current large-scale seismic data processing. Automatic algorithms using different seismic attributes such as instantaneous phase or dip attributes have been proposed. However, the computed attributes are usually inaccurate near discontinuities. The waveforms in the horizontal direction often change dramatically, which makes it difficult to track a horizon using the similarity of attributes. In this paper, we propose a novel method

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Study on fracture toughness of X80 pipeline steel based on small punch test

Evaluating the strength properties of materials of an in-service pipeline without shutting down transportation has been always a challenge. A novel and non-destructive method for determining the true stress-strain curve of pipeline steel based on backpropagation artificial neural network and small punch test is proposed in this study. The elastoplastic mechanical properties of the pipeline steels could be obtained by this method. The load-displacement curves of 2261 groups of different hypothetical materials were obtained by the finite element model of small punch test within Gurson-Tvergaa

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A new drilling fluid technology based on supramolecular chemistry

Based on supramolecular chemistry, a rheology modifier CFZTQ-1 for oil base drilling fluids was developed, and an innovative high-density organoclay-free oil base drilling fluid system centering on CFZTQ-1 was designed, evaluated and applied in the field. CFZTQ-1 can strongly increase the elasticity of invert emulsion due to the supramolecular structure assembled in water phase; CFZTQ-1 has stronger effect in elevating the yield point and suspension ability than several foreign rheology modifiers; the synergistic effect with organoclay also makes CFZTQ-1 available in traditional clay-contai

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A novel deep learning model with physical process information for prediction of flow behaviors in oil and gas reservoirs

Reservoir modeling to predict shale reservoir productivity is considerably uncertain and time consuming. Since we need to simulate the physical phenomenon of multi‐stage hydraulic fracturing. To overcome these limitations, this paper presents an alternative proxy model based on data‐ driven deep learning model. Furthermore, this study not only proposes the development process of a proxy model, but also verifies using field data for 1239 horizontal wells from the Montney shale formation in Alberta, Canada. A deep neural network (DNN) based on multi‐layer perceptron was applied to predi

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CO2 corrosion mechanism of pure Fe under action of uniform water film

The polarization behavior of API 5L X65 mild steel at various pH values and CO2 partial pressures was investigated at a high flow velocity. In contrast to the commonly accepted mechanistic view of CO2 corrosion, it is shown that the direct reduction of carbonic acid is insignificant at CO2 partial pressures up to 5 bar. That suggests that carbonic acid is merely a “reservoir” of hydrogen ions and its presence only increases the observed limiting current densities by buffering the H+ concentration at the metal surface. Furthermore, the rate of anodic iron dissolution reaction was

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