(1)Zhao C L, Guo P, Long F. THERMO-HYDRAULIC COUPLED SIMULATION OF IMMISCIBLE CO 2 FLOODING[J]. Applied Ecology & Environmental Research, 2019, 17(1). (2)Zhao C, Jia Y, Qu Y, et al. Forecasting Gas Well Classification Based on a Two-Dimensional Convolutional Neural Network Deep Learning Model[J]. Processes, 2024, 12(5): 878. (3)Zhao C L, Cao X J, Xie X J, et al. Environmental Aspects of Drilling Operation Risks: A Probability Prediction based on Fuzzy Time Series[J]. Ekoloji Dergisi, 2018 (106). (4)Tian D, Zhao C, Wang B, et al. A MEMCIF-IN method for safety risk assessment in oil and gas industry based on interval numbers and risk attitudes[J]. Engineering Applications of Artificial Intelligence, 2019, 85: 269-283. (5)Wang B, Zhao C. Research on 3D Reconstruction Method ACL-based[J]. International Journal of Multimedia and Ubiquitous Engineering, 2016, 11(10): 189-196. (6)Ren J, Zheng Q, Zhao C. A modified Blasingame production analysis method for vertical wells considering the quadratic gradient term[J]. Energies, 2019, 12(11): 2092. (7)Ren J, Zheng Q, Guo P, et al. Lattice Boltzmann model for gas flow through tight porous media with multiple mechanisms[J]. Entropy, 2019, 21(2): 133. (8)Guo P, Wei C, Xiong W, et al. Exact boundary controller design for a kind of enhanced oil recovery models[C]//Abstract and Applied Analysis. Hindawi Publishing Corporation, 2014, 2014(1): 747092. (9)Ren J, Fang N, Zheng Q, et al. Semi-analytical model of a multi-wing fractured vertical well in linear composite reservoirs with a leaky fault[J]. Journal of Petroleum Science and Engineering, 2020, 191: 107143. (10)Wang B, Ye H, Zhang X, et al. Object Correlation Matrix for Two-Stage Object Detection Network[C]//ICASSP 2024-2024 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP). IEEE, 2024: 9846-9850. (11)基于結(jié)構(gòu)方程與蒙特卡洛方法的鉆井現(xiàn)場(chǎng)作業(yè)風(fēng)險(xiǎn)評(píng)價(jià).天然氣工業(yè) (12)基于ARIMA模型的鉆井作業(yè)風(fēng)險(xiǎn)預(yù)測(cè),新疆石油地質(zhì) (13)貝葉斯網(wǎng)絡(luò)在L氣田安全鉆井作業(yè)現(xiàn)場(chǎng)風(fēng)險(xiǎn)評(píng)估中的應(yīng)用,西南石油大學(xué)學(xué)報(bào) (14)基于模糊有限自動(dòng)機(jī)的雙模糊拓?fù)湫再|(zhì),工程數(shù)學(xué)學(xué)報(bào) (15)不能用凈應(yīng)力評(píng)價(jià)低滲砂巖巖石應(yīng)力敏感性,西南石油大學(xué) (16)一種基于2D-CNN深度學(xué)習(xí)的鉆井事故等級(jí)預(yù)測(cè)新方法,天然氣工業(yè) (17)元壩高酸性氣田地面管道內(nèi)腐蝕預(yù)測(cè),油氣儲(chǔ)運(yùn) (18)基于數(shù)據(jù)挖掘思想的岷江水質(zhì)綜合評(píng)價(jià),模糊系統(tǒng)與數(shù)學(xué) (19)基于多維動(dòng)態(tài)隸屬度的模糊時(shí)間序列的天然氣月負(fù)荷預(yù)測(cè),模糊系統(tǒng)與數(shù)學(xué) (20)基于動(dòng)態(tài)隸屬度的模糊時(shí)間序列模型的水質(zhì)預(yù)測(cè)研究,計(jì)算機(jī)工程與科學(xué) (21)基于FCM聚類(lèi)的模糊綜合評(píng)價(jià)方法,陜西師范大學(xué)學(xué)報(bào)(自然科學(xué)版) |