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Geochemical prerequisites for the formation of oil and gas accumulation zones in the South Turgay basin,Kazakhstan

Acta Geochimica 2024年第3期43卷 520-534页

作者： Rima Kopbosynkyzy Madisheva Vassiliy Sergeevich portnov Gulmadina Bulatovna Amangeldiyeva Akmaral Bakhytbekovna Demeuova Yessimkhan Sherekhanovich Seitkhaziyev Dulat Kalimovich Azhgaliev Department Geology and Exploration of Mineral Deposits Abylkas Saginov Karaganda Technical University NPJSCKaragandaRepublic of Kazakhstan Laboratory of Geochemical Studies of Oil Water and RockAtyrauRepublic of Kazakhstan Geological and Mineralogical Sciences Atyrau University of Oil and Gas Named After SafiUtebayevAtyrauRepublic of Kazakhstan

This study predicts favorable oil and gas source-rock formation conditions in the Aryskum Depression of the South Turgay Basin,*** study assesses the thermal maturity and characteristics of organic matter by determining its environmental conditions using data from geochemical analysis of core(pyrolysis)and oil(biomarkers and carbon isotopic compositions)*** to the geochemical parameters obtained by pyrolysis,the oil generation potential of the original rocks of most studied samples varies from poor to *** facies–genetic organic matter is predominantly humic and less frequently humus–sapropel,indicating organic matter accumulation in the studied samples were under moderately reducing conditions(kerogenⅢand Ⅱ types)and coastal–marine environments(kerogen typeⅠ).The carbon isotopic compositions of oils derived from the Jurassic deposits of the Aryskum Depression also indicate the sapropelic and mixed humic–sapropelic type of organic matter(kerogenⅡandⅠ).Biomarker analysis of oils indicates original organic matter formation in an anoxic environment.

关键词： South Turgay Basin Oil and gas potential Source rock Organic matter Kerogen

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Estimating geographic concentrations of quaternary industries in Europe using Artificial Light-At-Night (ALAN) data

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international Journal of Digital Earth 2017年第9期10卷 861-870,871-878页

作者： Natalya A.Rybnikova Boris A.portnov Department of Natural Resources and Environmental Management University of HaifaHaifaIsrael

Mapping geographic concentrations of quaternary industries(Qis)may help to assess regional performance and formulate informed development ***,fine resolution data on Qis concentrations are sparsely ***,for the year 2010,only 45%of all NUTS3 regions(*** of the third and most detailed level of the Nomenclature of Units for Territorial Statistics of the EU)provide relevant *** this study,we investigate a possibility that artificial light-at-night(ALAN),captured by satellite sensors,can help to identify geographic concentrations of *** this study,we use year-2010 NUTS3 Eurostat data,and combine them with data on ALAN intensities,obtained from the *** Meteorological Satellite Program(US-DMSP)for the years 2000 and *** both ordinary least squares(OLS)and spatial dependency(SD)models,ALAN emerged as a statistically significant predictor(t=8.392–14.608;Ping to explain,along with other predictors,up to 75%of Qis regional *** obtained models and regional data presently available enabled estimates of Qis concentrations for European NUTS3 regions with missing data.

关键词： Quaternary industries(Qis) artificial light-at-night(ALAN) NUTS3 regions Europe

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Urban sprawl and its impact on sustainable urban development:a combination of remote sensing and social media data

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Geo-Spatial information Science 2021年第2期24卷 241-255,I0005页

作者： Zhenfeng Shao Neema S.Sumari aleks.i portnov Fanan Ujoh Walter Musakwa Paulo J.Mandela State Key Laboratory of information Engineering in Surveying Mapping and Remote SensingWuhan UniversityWuhanChina Department of Mathematics Informatics and Computational SciencesSolomon Mahlangu College of Science and EducationSokoine University of AgricultureMorogoroTanzania Department of Land Law and State Registration of Real Estate Moscow State University of Geodesy and Cartography(Miigaik)MoscowRussia Center for Sustainability and Resilient infrastructure and Communities(SaRiC) London South Bank UniversityLondonUK eDepartment of Town and Regional Planning University of JohannesburgGautengSouth Africa Department of Lands and Geoscience Urban Development and Management Services Tanzania LimitedMorogoroTanzania

Urbanization is one of the most impactful human activities across the world today affecting the quality of urban life and its sustainable *** in Africa is occurring at an unprecedented rate and it threatens the attainment of Sustainable Development Goals(SDGs).Urban sprawl has resulted in unsustainable urban development patterns from social,environmental,and economic *** study is among the first examples of research in Africa to combine remote sensing data with social media data to determine urban sprawl from 2011 to 2017 in Morogoro urban municipality,*** Forest(RF)method was applied to accomplish imagery classification and location-based social media(Twitter usage)data were obtained through a Twitter Application Programming interface(APi).Morogoro urban municipality was classified into built-up,vegetation,agriculture,and water land cover classes while the classification results were validated by the generation of 480 random *** the Kernel function,the study measured the location of Twitter users within a 1 km buffer from the center of the *** results indicate that,expansion of the city(built-up land use),which is primarily driven by population expansion,has negative impacts on ecosystem services because pristine grasslands and forests which provide essential ecosystem services such as carbon sequestration and support for biodiversity have been replaced by built-up land *** addition,social media usage data suggest that there is the concentration of Twitter usage within the city center while Twitter usage declines away from the city center with significant spatial and numerical increase in Twitter usage in the study *** outcome of the study suggests that the combination of remote sensing,social sensing,and population data were useful as a proxy/inference for interpreting urban sprawl and status of access to urban services and infrastructure in Morogoro,and Africa city where data for urban plannin

关键词： Urbanization ecosystem services sustainable urban development remote sensing social media data Twitter Morogoro Tanzania

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多尺度空洞卷积的无人机影像目标检测方法

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武汉大学学报（信息科学版） 2020年第6期45卷 895-903页

作者：张瑞倩邵振峰 aleks.i portnov 汪家明武汉大学遥感信息工程学院湖北武汉430079 武汉大学测绘遥感信息工程国家重点实验室湖北武汉430079 莫斯科国立测绘大学俄罗斯莫斯科105064

无人机作为一种新型遥感传感器,越来越多地被应用在医疗、交通、环境监测、灾害预警、动物保护以及军事等领域。由于无人机飞行器飞行高度差异大、采集影像视角可变、飞行速度快,因此无人机影像上的目标具有尺度变化大、分布差异明显、... 详细信息

无人机作为一种新型遥感传感器,越来越多地被应用在医疗、交通、环境监测、灾害预警、动物保护以及军事等领域。由于无人机飞行器飞行高度差异大、采集影像视角可变、飞行速度快,因此无人机影像上的目标具有尺度变化大、分布差异明显、背景复杂、存在大量遮挡等特点,这为无人机影像目标检测带来了一定的困难。针对此,提出一种多尺度空洞卷积的无人机影像目标检测方法,在现有的目标检测算法的基础上,增加多尺度的空洞卷积模块,加大视野感知域,提高网络对无人机影像中的目标分布情况、尺寸差异等特点的学习能力,进一步提升网络对无人机影像中多尺度、复杂背景下的目标的检测精度。实验结果表明,所提出的算法在不增加网络参数的情况下,提升了无人机影像上目标检测的精确度和召回率,具有一定的有效性和鲁棒性。

关键词：多尺度模型空洞卷积无人机影像目标检测

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integrating the geology, seismic attributes, and production of reservoirs to adjust interwell areas: A case from the Mangyshlak Basin of West Kazakhstan

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Applied Geophysics 2021年第3期18卷 420-430,434页

作者： Arslan Zhumabekov Zhen Liu Vasily portnov Xiaodong Wei Xin Chen State Key Laboratory of Petroleum Resource and Prospecting in China University of Petroleum Beijing 102249China Karaganda State Technical University Karaganda100027Kazakhstan BGP inc. China National Petroleum Company CNPCZhuozhou 072751China

Dynamic models of the seismic,geological,and flow characteristics of a reservoir are the main tool used to evaluate the potential of drilling new infill *** geological models are mainly based on borehole data combined with dynamic analyses of production *** are used to determine the redevelopment of and adjustments to new drilling locations;however,such models rarely incorporate seismic ***,it is difficult to control the changes in geological models between wells,which results in the configuration of well positions and predicted results being less than *** improve the development of adjusted areas in terms of their remaining oil contents,we developed a new integrated analysis that combines static sediment modelling,including microfacies analysis(among other reservoir and seismic properties),with production ***,we illustrate this new process by(1)establishing favourable areas for static geological analysis;(2)studying well recompletion potential and the condition of non-producing wells;(3)conducting interwell analyses with seismic and sedimentary data;(4)identifying potential sites constrained by seismic and geological studies,as well as initial oilfield production;(5)providing suggestions in a new well development plan.

关键词： Reservoir geological model sedimentary facies seismic attributes well development remaining oil

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