Construction of complex digital rock physics based on full convolution network

Digital rock physics(DRP)is a paramount technology to improve the economic benefits of oil and gas fields,devise more scientific oil and gas field development plans,and create digital oil and gas fields.Currently,a significant gap is present between DRP theory and practical applications.Conventional digital-core construction focuses only on simple cores,and the recognition and segmentation effect of fractures and pores of complex cores is poor.The identification of rock minerals is inaccurate,which leads to the difference between the digital and actual cores.To promote the application of DRP in developing oil and gas fields,based on the high-precision X-ray computed tomography scanning technology,the U-Net deep learning model of the full convolution neural network is used to segment the pores,fractures,and matrix from the complex rock core with natural fractures innovatively.Simultaneously,the distribution of rock minerals is divided,and the distribution of rock conditions is corrected by X-ray diffraction.A pore—fracture network model is established based on the equivalent radius,which lays the foundation for fluid seepage simulation.Finally,the accuracy of the established a digital core is verified by the porosity measured via nuclear magnetic resonance technology,which is of great significance to the development and application of DRP in oil and gas fields.

供水系统中冲刷对金属管道内壁生物膜脱落的影响作用（英文）

目的:在市政供水管网系统中,由冲刷引起的管道内壁生物膜脱落可能造成饮用水二次污染。本文旨在通过研究冲刷前后生物膜理化特性和微生物种群结构的变化,探讨不同金属管材管道和不同冲刷流速对生物膜脱落的影响,从而为管道生物安全的风险评估提供科学依据。创新点:不同菌属的细菌对水力冲刷的敏感程度不同;各菌属对水力变化的敏感程度既与菌属本身的性质有关,也与其附着生长的管材有关。方法:1.采用R2A培养基平板计数、16S rD NA检测、荧光定量聚合酶链式反应及454焦磷酸测序技术。2.通过理化指标检测与测序相结合的方式进行分析,并以丰度图和热度图的形式呈现结果。结论:1.球墨铸铁管内壁生物膜的抗水力剪切能力较强,能够抵抗低剪切冲刷,在高剪切力冲刷后才会明显脱落,而灰口铸铁管和不锈钢复合管内壁生物膜的抗水力剪切能力较弱,低剪切力冲刷工况便会导致生物膜的明显脱落。2.生物膜对冲刷的抵抗作用在其群落的属水平和纲水平上有显著变化,这与群落本身和管材特性均有关联。