Transient analysis for fractured gas wells by modified pseudo-functions in stress-sensitive reservoirs

Acknowledgments This article was supported by Excellent Supervisor Fund of Basal Research Fund of China University of Geosciences (Beijing) (Grant No. 53200859546), the National Major Research Programme for Science and Technology of China (Grant No. 2011ZX05009-004). The anonymous reviewers and the editors are greatly appreciated for their careful reviews and detailed comments.Peer reviewedPostprin

Productivity analysis for a vertically fractured well under non- Darcy flow condition

This work was supported by the National Natural Science Foundation of China No. 51204148 and the Fundamental Research Funds for the Central UniversitiesPeer reviewedPostprin

An Alternative BEM for Simulating the Flow Behavior of a Leaky Confined Fractured Aquifer With the Use of the Semianalytical Approach

This work is supported by the National Major Research Program for Science and Technology of China (Nos. 2017ZX05063 and 2017ZX05037) and the National Natural Science Foundation of China (No. 51674227). The data used in this paper can be downloaded from the Zenodo website (https://doi.org/10.5281/zenodo.3519950).Peer reviewedPublisher PD

Antirheumatoid Arthritis Activities and Chemical Compositions of Phenolic Compounds-Rich Fraction from Urtica atrichocaulis, an Endemic Plant to China

Urtica atrichocaulis, an endemic plant to China, is commonly used to treat rheumatoid arthritis even though its pharmaceutical activities and chemical constituents were not studied. Herein, we reported our investigations on the chemical compositions of the phenolic compounds-rich fraction from U. atrichocaulis (TFUA) and their antirheumatoid arthritis activities. We found that the TFUA significantly inhibited the adjuvant-induced rats arthritis, carrageenin-induced rats paw edema, cotton pellet-induced mice granuloma, and the acetic acid-induced mice writhing response. Our phytochemical investigations on the TFUA resulted in the first-time isolation and identification of 17 phenolic constituents and a bis (5-formylfurfuryl) ether. The extensive HPLC analysis also revealed the chemical compositions of TFUA. Our further biological evaluation of the main phenolic components, individually and collectively, indicated that the antirheumatoid arthritis activities of TFUA were the combined effect of multiple phenolic constituents

Transient pressure analysis of a volume fracturing well in fractured tight oil reservoirs

This research was supported by the Ministry of Land and Resources Special Geological Survey: Upper Paleozoic Marine Shale Gas Geological Survey in Yunnan, Guizhou, Guangxi Region (DD20160178), The Key Laboratory of Unconventional Petroleum Geology of Geological Survey of China Open Fund and the Major National R&D Projects: Study on the Test Method for Shale Structure and Composition at Different Scales with project number: 2016ZX05034-003-006.Peer reviewedPostprin

Intelligent classification of coal structure using multinomial logistic regression, random forest and fully connected neural network with multisource geophysical logging data

Acknowledgments This research was funded by the National Natural Science Foundation of China (grant nos. 42130806, 41922016 and 41830427).Peer reviewe

Towards machine learning approaches for predicting the self-healing efficiency of materials

Acknowledgement This research is supported by the Engineering and Physical Sciences Research Council (EPSRC) funded Project on New Industrial Systems: Manufacturing Immortality (EP/R020957/1). The authors are also grateful to the Manufacturing Immortality consortium.Peer reviewedPublisher PD

Preparation and solution properties of a novel cationic hydrophobically modified polyacrylamide for enhanced oil recovery

Financial support from National Natural Science Foundation of China (51504050, 51774062), Scientific and Technological Research Program of Chongqing Municipal Education Commission (KJ1601305) and Research Foundation of Chongqing University of Science & Technology (CK2016B07, CK2016Z20).Peer reviewedPostprin

A new method for pore structure quantification and pore network extraction from SEM images

C.W. thanks China Scholarship Council’s financial support for his Ph.D. study. The authors thank Anasuria Operating Company Limited (AOC) for making available the core plug samples. We thank the two reviewers for their insight comments and constructive suggestions toward improving our manuscript. Finally, we thank John Still (University of Aberdeen Centre for Electron Microscopy, Analysis and Characterisation (ACEMAC)) for invaluable assistance in the acquisition of SEM images.Peer reviewedPostprin