supported by the Ministry of Industry and Information Technology’s 2018 Big Data Industry Development Pilot Demonstration Project “Demonstration Project of Oil and Gas Exploration and Development Innovation and Efficiency Enhancement Based on the Application of Big Data” (Letter of the Ministry of Industry and Information Technology [2018] No.339);the Ministry of Industry and Information Technology Demonstration Project Supporting Project “Petroleum Exploration and Development Big Data and Artificial Intelligence Key Technology” (No.2018D-5010-16);the Innovation Project of PetroChina Science and Technology Research Institute Co.,Ltd.“Exploration and Research on Predicting the Remaining Oil Saturation of Each Layer under the Condition of Co-Injection by Applying Big Data Deep Learning Method” (No.2017ycq02);the National Key R&D Program (No.2018YFE0116700);the Shandong Provincial Natural Science Foundation (No.ZR2019MF049,Parallel DataDriven Fault Prediction under Online-Offline Combined Cloud Computing Environment)。
Interwell connectivity, an important element in reservoir characterization, especially for water flooding,is used to make decisions for better oil production. The existing methods in literature directly use related da...
The graph-based manifold ranking saliency detection only relies on the boundary background to extract foreground seeds,resulting in a poor saliency detection result,so a method that obtains robust foreground for manif...
Project supported by the National Natural Science Foundation of China(No.81771158);the Science Foundation of the Health Commission of Zhejiang Province(Nos.2016147373 and 2019321345),China
The purpose of this study was to explore the differences in interhemispheric functional connectivity in patients with Alzheimer’s disease(AD) and amnestic mild cognitive impairment(aMCI) based on a triple network mod...
supported by the Foundation for Innovative Research Groups of the National Natural Science Foundation of China under Grant No.61321002;the Program for Changjiang Scholars and Innovative Research Team in University under Grant No.IRT1208;the Changjiang Scholars Program;the Beijing Outstanding Ph.D. Program Mentor under Grant No.20131000704
Sensor network deployment is the key for sensors to play an important performance. Based on game theory, first, the authors propose a multi-type sensor target allocation method for the autonomous deployment of sensors...
the National Natural Science Foundation of China(Grant Nos.41227901,41502294&41330643);the Strategic Priority Research Program of the Chinese Academy of Sciences(Grants Nos.XDB10030000,XDB10030300&XDB10050400)
In this paper, the effect of pre-existing discrete fracture network(DFN) connectivity on hydraulic fracturing is numerically investigated in a rock mass subjected to in-situ stress. The simulation results show that DF...
Supported by the National Science Foundation of China under Grant Nos 60904065,71031007 and 71101013;the Program for New Century Excellent Talents in University under Grant No NCET-12-0141.
Natural connectivity has been recently proposed to efficiently characterize the structural robustness of complex networks.The natural connectivity,interpreted as the Helmholtz free energy of a network,can be derived f...
Supported by the National Natural Science Foundation of China (No.30370356 and No.60574041).
Inspired by the potential computational capability of 3-Dimensional (3D) DNA structure,this paper presents a graph structure constructed by k-armed (k = 3or 4) branched junction DNA molecules to explore the possibilit...