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Wave characteristics and tectonic-sedimentation evolution of foreland thrust fault of Micang Mountain

Science china Earth Sciences 2008年第S2期51卷 70-77页

作者： li rufeng1,2,3,guo tonglou4,chen guofei1 & zhang gangxiong1 1 state key laboratory of petroleum resource and prospecting,china university of petroleum,beijing 102.4.,china 2 key laboratory for Hydrocarbon Accumulation Mechanism,china university of petroleum,Ministry of Education,beijing 102.4.,china 3 Basin and Reservoir Research Center,china university of petroleum,beijing 102.4.,china 4 SINOPEC Southern E & P Company,chengdu 610041,china state key laboratory of petroleum resource and prospecting China University of Petroleum Beijing 102249 China key laboratory for Hydrocarbon Accumulation Mechanism China University of Petroleum Ministry of Education Beijing 102249 China [

In this paper,the technology of wave process method for sedimentation is first adopted in the research of the foreland thrust fault of Micang Mountain with respect of oil and reservoir’s formation and tectonic and sedimentary evolution. From the fluctuation characteristics,we could make conclusions in the foreland thrust belt of Micang Mountain that,there existed 2 first-order sedimentary cycles (220 Ma),corresponding to Caledonian-Hercynian and Indo-Chinese-Yanshan-Himalayan tectonic cycles respec-tively; there existed 4 second-order sedimentary cycles (10 Ma),corresponding to two sedimentation peak period and two denudation peak periods in research zone; there existed 12 third-order sedimen-tary cycles (35 Ma) and 21 fourth-sedimentary cycles (20 Ma). These 33 cycles in the research zone corresponded to the sedimentation-denudation process in different periods,furthermore,their fluctua-tion characteristics bore the genetic relationship with the development law of source,reservoir and cap rocks: the source rock had the tendency to develop at the turning part between wave crest and wave trough,or at the superposition of wave turning part in different periods,presenting like "X"; most res-ervoir rocks developed at the place of wave peak; the development of cap rock was located in the wave trough on the right of sedimentation-denudation datum line. As a result,through the application of wave process method for sedimentation,we could rediscover the understanding of the tectonic and sedimentary evolution from another prospective,meanwhile,it enables to make prediction about the development rule of source,reservoir and cap rocks,which means a significant importance to the re-search of oil and reservoir’s forming condition.

关键词： foreland thrust belt of Micang Mountain sedimentation wave process wave cycle tectonic and sedimentary evolution forming condition

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Study on attribute characterization for reservoir dynamic monitoring by seismic

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Science china Earth Sciences 2008年第S2期51卷 218-225页

作者： chen XiaoHong1,3,li JingYe2,3 & ZHAO Wei4 1 key Lab of Geophysical Exploration of CNPC,china petroleum university,beijing 102.4.,china 2 Basin & Reservoir Research Center,china petroleum university,beijing 102.4.,china 3 state key laboratory of petroleum resource and prospecting,china university of petroleum,beijing 102.4.,china 4 Research Center of CNOOC,beijing 100027,china 1. key Lab of Geophysical Exploration of CNPC China Petroleum University Beijing 102249 China 3. state key laboratory of petroleum resource and prospecting China University of Petroleum Beijing 102249 China 2. Basin & Reservoir Research Center China Petroleum University Beijing 102249 China 4. Research Center of CNOOC Beijing 100027 China

Study on characterizing reservoir parameters dynamic variations by time-lapse seismic attributes is the theoretical basis for effectively distinguishing reservoir parameters variations and conducting time-lapse seismic interpretation,and it is also a key step for time-lapse seismic application in real oil fields. Based on the rock physical model of unconsolidated sandstone,the different effects of oil saturation and effective pressure variations on seismic P-wave and S-wave velocities are calculated and analyzed. Using numerical simulation on decoupled wave equations,the responses of seismic amplitude with different offsets to reservoir oil saturation variations are analyzed,pre-stack time-lapse seismic attributes differences for oil saturation and effective pressure variations of P-P wave and P-S converted wave are calculated,and time-lapse seismic AVO (Amplitude Versus Offset) response rules of P-P wave and P-S converted wave to effective pressure and oil saturation variations are compared. The theoretical modeling study shows that it is feasible to distinguish different reservoir parameters dynamic variations by pre-stack time-lapse seismic information,including pre-stack time-lapse seismic attributes and AVO information,which has great potential in improving time-lapse seismic interpreta-tion precision. It also shows that the time-lapse seismic response mechanism study on objective oil fields is especially important in establishing effective time-lapse seismic data process and interpreta-tion scheme.

关键词： time-lapse seismic dynamic monitoring rock physical model pre-stack attribute Amplitude Versus Offset (AVO)

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Identification of the Quaternary low gas-saturation reservoirs in the Sanhu area of the Qaidam Basin,china

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petroleum Science 2011年第1期8卷 49-54页

作者： li Xiongyan li Hongqi Zhou Jinyu He Xu chen Yihan Yu Hongyan state key laboratory of petroleum resource and prospecting China University of PetroleumBeijing 102249China key laboratory of Earth prospecting and Information Technology China University of PetroleumBeijing 102249China Department of Computer Science and Technology China University of PetroleumBeijing 102249China Exploration and Development Institute Changqing Petroleum CompanyShaanxi 710021China

Low gas-saturation reservoirs are gas bearing intervals whose gas saturation is less than 47%. They are common in the Quaternary of the Sanhu area in the Qaidam *** to the complex genesis mechanisms and special geological characteristics,the logging curves of low gas-saturation reservoirs are characterized by ambiguity and diversity,namely without significant log response characteristics. Therefore,it is particularly difficult to identify the low gas-saturation reservoirs in the study *** addition,the traditional methods such as using the relations among lithology,electrical property,physical property and gas bearing property,as well as their threshold values,can not effectively identify low gas-saturation *** solve this problem,we adopt the decision tree,support vector machine and rough set methods to establish a predictive model of low gas-saturation reservoirs,which is capable of classifying a mass of multi-dimensional and fuzzy *** to the transparency of learning processes and the understandability of learning results,the predictive model was also revised by absorbing the actual reservoir *** applications indicate that the predictive model is effective in identifying low gas-saturation reservoirs in the study area.

关键词： Sanhu area Qaidam Basin low gas-saturation reservoir decision tree support vector machine rough set predictive model identification

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Quantitative studies of hydrocarbon loss of the Silurian bitumen sandstone in the Tarim Basin

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Science china Earth Sciences 2008年第S2期51卷 101-107页

作者： JIANG ZhenXue1,2,PANG XiongQi1,2,liU LuoFu1,2,WANG XianDong3,zhang Jun4 & li HongYi1,2 1 Basin and Reservoir Research Center,china university of petroleum,beijing 102.4.,china 2 state key laboratory of petroleum resource and prospecting,china university of petroleum,beijing 102.4.,china 3 Research Institute of Exploration and Development,Daqing Oilfield Company Ltd,Daqing 163712,china 4 petroleum Exploration and Production Institute of SINOPEC,beijing 100083,china china Univ Petr Basin & Reservoir Res Ctr Beijing 102249 Peoples R China china Univ Petr State Key Lab Petr Resource & Prospecting Beijing 102249 Peoples R China Daqing Oilfield Co Ltd Res Inst Explorat & Dev Daqing 163712 Peoples R China SINOPEC Petr Explorat & Prod Inst Beijing 100083 Peoples R China

The evolution of Tarim Basin experienced several tectonic movements,of which Caledonian movement caused a serious damage to reservoirs of Silurian. The earlier reservoirs size and the later hydrocarbon loss are two key factors to exploration prospect of Silurian. On the basis of net thickness of bituminous sandstone and recovery coefficient of crude oil converting to bitumen,the scale of the hydrocarbon loss of palaeo-accumulation in bitumen sandstone of Silurian was calculated (86.30×108t). The deter-mination of net thickness of bitumen sandstone was completed mainly by several methods,such as physical property demarcation,observing lithology,grains with oil inclusion (GOI) technology,and quantitative grains fluorescence (QGF) technology. The samples of black sandstone and white sand-stone were collected and compared by means of the methods mentioned above. The results showed that there was little hydrocarbon,or none,in the white sandstone. The recovery coefficient was ob-tained by the analyses of plentiful physical parameters of crude oil and bitumen sandstone,based on the hypothesis that nonhydrocarbon compounds and bitumen were invariable in the process of bitu-men forming. The calculated result,which is more scientific and actual,indicates the exploration pros-pect is more promising in Silurian of the Tarim Basin.

关键词： Tarim Basin Silurian bitumen sandstone hydrocarbon loss quantitative research recovery coefficient

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Purposeless repeated acquisition time-lapse seismic data processing

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petroleum Science 2008年第1期5卷 31-36页

作者： li Jingye chen Xiaohong Zhao Wei zhang Yunpeng key laboratory for Hydrocarbon Accumulation Mechanism Ministry of Education China University of PetroleumBeijing 102249 China Basin ＆ Reservoir Research Center China University of Petroleum Beijing 102249 China School of resource and Information China University of Petroleum Beijing 102249 China Research Center of CNOOC Beijing 100027 China

In china, most oil fields are continental sedimentation with strong heterogeneity, which on one side makes the reservoir prospecting and development more difficult, but on the other side provides more space for searching residual oil in matured fields. Time-lapse seismic reservoir monitoring technique is one of most important techniques to define residual oil distribution. According to the demand for and development of time-lapse seismic reservoir monitoring in china, purposeless repeated acquisition time-lapse seismic data processing was studied. The four key steps in purposeless repeated acquisition time-lapse seismic data processing, including amplitude-preserved processing with relative consistency, rebinning, match filtering and difference calculation, were analyzed by combining theory and real seismic data processing. Meanwhile, quality control during real time-lapse seismic processing was emphasized.

关键词： Time-lapse seismic purposeless repeated acquisition rebinning match filtering amplitude-preserved processing

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Hydrocarbon accumulation in network and its application in the continental rift basin

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Science china Earth Sciences 2008年第S2期51卷 88-100页

作者： PANG XiongQi1,2,chen DongXia1,zhang ShanWen3,HAO Fang1,liU Zheng1,liU keyu3,SONG guoQi4,WANG YongShi4,LUO XiaoRong5 & WU XiaoChun61 state key laboratory of petroleum resource and prospecting,Chinese university of petroleum,beijing 102.4.,china 2 Basin and Reservoir Center,Chinese university of petroleum,beijing 102.4.,china 3 SINOPEC Shengli Oilfield,Dongying 257051,china 4 CSIRO petroleum,P. O. Box 1130,Bentley,WA 6102,Australia 5 Institute of Geology and Geophysics,Chinese Academy of Science,beijing 100029,china 6 china National petroleum Corporation,beijing 100724,china Chinese Univ Petr State Key Lab Petr Resource & Prospecting Beijing 102249 Peoples R China Chinese Univ Petr Basin & Reservoir Ctr Beijing 102249 Peoples R China SINOPEC Shengli Oilfield Dongying 257051 Peoples R China CSIRO Petr Bentley WA 6102 Australia Chinese Acad Sci Inst Geol & Geophys Beijing 100029 Peoples R China china Natl Petr Corp Beijing 100724 Peoples R China

The concept of hydrocarbon accumulation in network was presented on basis of the overall analysis of the formation and evolution characteristics of the continental faulted basin and of the systemic re-search on the major controlling factors on the hydrocarbon accumulation. The hydrocarbon accumu-lation in network can be defined as hydrocarbon accumulation in a three-dimensional network system which is constituted by the hydrocarbon migration passages under multiple dynamics,following the hydrocarbon generation from source rocks. The research shows that the hydrocarbon accumulation in network is composed of four elements,i.e.,hydrocarbon source (source rock kitchen),hydrocarbon accumulation terminal (trap),network pathway connecting source and terminal (transporting system),and network potential driving hydrocarbon migration in the network pathway (migration dynamics). Compared with other networks,hydrocarbon accumulation in network has three basic characteristics: the irreversible geological process of material and information flow in the network; the loss of material and information in the flow process in the network; the multiple dynamics in the flow process. Interac-tion of all the elements in the geological process can be called hydrocarbon accumulation in network. There are three basic models for hydrocarbon accumulation in network,that is,hydrocarbon accumu-lation in the network source area,hydrocarbon accumulation in the network pathway,and hydrocarbon accumulation in the network terminal. The key in the application of the hydrocarbon accumulation models in network in practice is to confirm the major accumulation stage and the function range of the four elements controlling the hydrocarbon firstly,to predict the profitable accumulation region by su-perposition of the favorable areas confirmed by four elements consequently,and to evaluate the oil-bearing property of the trap as well as confirm drilling targets. This paper takes the Dongying De-pression in the

关键词： continental rift basin hydrocarbon accumulation theory hydrocarbon network hydrocarbon accumulation in network Bohai Bay Basin

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Formation mechanisms of heavy oils in the liaohe Western Depression,Bohai Gulf Basin

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Science china Earth Sciences 2008年第S2期51卷 156-169页

作者： li SuMei1,2,PANG XiongQi1,2,liU keyu3,GAO XianZhi1,2,li XiaoGuang4,chen ZhenYan4 & liU BaoHong41 state key laboratory of petroleum resource and prospecting,china university of Petroleam,beijing 102.4.,china 2 Basin and Reservoir Research Center,china university of petroleum,beijing 102.4.,china 3 CSIRO petroleum,P.O. Box 1130,Bentley WA 6102,Australia 4 liaohe Oilfield Co. Ltd,Petrochina,Panjin 124010,china 1. state key laboratory of petroleum resource and prospecting China University of Petroleam Beijing 102249 China2. Basin and Reservoir Research Center China University of Petroleum Beijing 102249 China3. CSIRO Petroleum P.O. Box 1130 Bentley WA 6102 Australia4. Liaohe Oilfield Co. Ltd PetroChina Panjin 124010 China

The liaohe Oilfield in the liaohe Western Depression of the Bohai Gulf Basin is the third-largest oil producing province and the largest heavy oil producing oilfield in china. A total of 65 oil samples,35 rock samples and 36 reservoir sandstone samples were collected and analyzed utilizing conventional geochemical and biogeochemical approaches to unravel the mechanisms of the formation of the heavy oils. Investigation of the oils with the lowest maturity compared with the oils in the Gaosheng and Niuxintuo oilfields indicates no apparent relation between the maturity and physical properties of the heavy oils. It is suggested that the heavy oil with primary origin is not likely the main mechanism re-sponsible for the majority of the heavy oils in the liaohe Western Slope. The absence and/or depletion of n-alkanes etc.,with relatively low molecular weight and the occurrence of 25-norhopane series in the heavy oils as well as the relatively high acidity of the oils all suggest that the majority of the heavy oils once experienced secondary alteration. The fingerprints of the total scanning fluorescence (TSF) of the inner adsorbed hydrocarbons on the reservoir grains and the included hydrocarbons in fluid inclusions are similar to that of the normal oils in the area but are different from the outer adsorbed and reser-voired free oils at present,further indicating that most of the heavy oils are secondary in origin. Analyses of bacteria (microbes) in 7 oil samples indicate that anaerobic and hyperthermophilic Ar-chaeoglobus sp. are the dominant microbes relevant to oil biodegradation,which coincides with the shallow commercial gas reservoirs containing anaerobic bacteria derived gas in the Gaosheng and Leijia teotonic belts. The biodegradation most likely occurs at the water/oil interface,where the forma-tion water is essential for microbe removal and nutrient transportation. We think that biodegradation,water washing and oxidization are interrelated and are the main mech

关键词： heavy oil liaohe Western Depression biodegradation water washing formation mechanism

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Synchronous estimation of DTM and fractional vegetation cover in forested area from airborne liDAR height and intensity data

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Science china(Technological Sciences) 2008年第S2期51卷 176-187页

作者： BAO YunFei1,2,CAO ChunXiang1,zhang Hao1,chen ErXue3,HE QiSheng1,2,HUANG HuaBing1,li ZengYuan3,li XiaoWen1,4 & GONG Peng1 1 state key laboratory of Remote Sensing Science,jointly sponsored by the Institute for Remote Sensing Applications of Chinese Academy of Sciences and beijing Normal university,beijing 100101,china 2 Graduate university of the Chinese Academy of Sciences,beijing 100049,china 3 Institute of Forest resource Information Technique,the Chinese Academy of Forestry,beijing 100091,china 4 Research Center for Remote Sensing and GIS,Department of Geography and beijing key laboratory for Remote Sensing of Environment and Digital Sites,beijing Normal university,beijing 100875,china state key laboratory of Remote Sensing Science jointly sponsored by the Institute for Remote Sensing Applications of Chinese Academy of Sciences and Beijing Normal University Beijing 100101 China Graduate university of the Chinese Academy of Sciences Beijing 100049 China Institute of Forest resource Information Technique the Chinese Academy of Forestry Beijing 100091 China Research Center for Remote Sensing and GIS Department of Geography and Beijing Key Laboratory for Remote Sensing of Environment and Digital Sites Beijing Normal University Beijing 100875 China

We proposed a method to separate ground points and vegetation points from discrete return,small footprint airborne laser scanner data,called skewness change *** method,which makes use of intensity of laser scanner data,is especially applicable in steep,and forested *** does not take slope of forested area into account,while other algorithms consider the change of slope in steep forested *** ground points and vegetation points can be used to estimate digital terrain model(DTM) and fractional vegetation cover,respectively.A few vegetation points which were classified into the ground points were removed as noise before the generation of *** method was tested in a test area of 10000 square meters.A liteMapper -5600 laser system was used and a flight was carried out over a ground of 700―800 *** this tested area,a total number of 1546 field measurement ground points were measured with a total station TOPCON GTS-602 and TOPCON GTS -7002 for validation of DTM and the mean error value is -18.5 cm and the RMSE(root mean square error) is ±20.9 cm.A data trap sizes of 4m in diameter from airborne laser scanner data was selected to compute vegetation fraction *** of fractional vegetation cover was carried out using 15 hemispherical photographs,which are georeferenced to centimeter accuracy by differential *** gap fraction was computed over a range of zenith angles 10° using the gap light analyzer(GLA) from each hemispherical *** R2 for the regression of fractional vegetation cover from these ALS data and the respective field measurements is *** this study presents a method for synchronous estimation of DTM and fractional vegetation cover in forested area from airborne liDAR height and intensity data.

关键词： liDAR intensity skewness synchronous DTM fractional vegetation cover

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Better use of experience from other reservoirs for accurate production forecasting by learn-to-learn method

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petroleum Science 2024年第1期21卷 716-728页

作者： Hao-chen Wang Kai zhang Nancy chen Wen-Sheng Zhou chen liu Ji-Fu Wang li-Ming zhang Zhi-Gang Yu Shi-Ti Cui Mei-Chun Yang china university of petroleum(East china) 66 Changjiang West RoadQingdao West Coast New AreaQingdao266580ShandongChina university of Calgary 2500 University Dr NWCalgaryT2N 1N4AlbertaCanada Qingdao university of Technology Qingdao266071ShandongChina state key laboratory of Offshore Oil Exploitation Beijing100028China CNOOC Research Institute Ltd. Beijing100028China CNPC Tarim Oilfield Branch Company Korla841000XinjiangChina National Engineering laboratory for Exploration and Development of Low-Permeability Oil and Gas Fields Xi'an710000ShaanxiChina Sinopec Matrix Co. LTDQingdao266000ShandongChina

To assess whether a development strategy will be profitable enough,production forecasting is a crucial and difficult step in the *** development history of other reservoirs in the same class tends to be studied to make predictions ***,the permeability field,well patterns,and development regime must all be similar for two reservoirs to be considered in the same *** results in very few available experiences from other reservoirs even though there is a lot of historical information on numerous reservoirs because it is difficult to find such similar *** paper proposes a learn-to-learn method,which can better utilize a vast amount of historical data from various ***,the proposed method first learns how to learn samples before directly learning rules in ***,by utilizing gradients from networks with independent parameters and copied structure in each class of reservoirs,the proposed network obtains the optimal shared initial parameters which are regarded as transferable information across different *** on that,the network is able to predict future production indices for the target reservoir by only training with very limited samples collected from reservoirs in the same *** cases further demonstrate its superiority in accuracy to other widely-used network methods.

关键词： Production forecasting Multiple patterns Few-shot learning Transfer learning

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A novel live attenuated vaccine candidate protects chickens against subtype B avian metapneumovirus

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Journal of Integrative Agriculture 2024年第5期23卷 1658-1670页

作者： lingzhai Meng Mengmeng Yu Suyan Wang Yuntong chen Yuanling Bao Peng liu Xiaoyan Feng Tana He Ru guo Tao zhang Mingxue Hu Changjun liu Xiaole Qi Kai li li Gao Yanping zhang Hongyu Cui Yulong Gao Avian Immunosuppressive Diseases Division State Key Laboratory for Animal Disease Control and PreventionHarbin Veterinary Research InstituteChineseAcademy of Agricultural SciencesHarbin150069China Avian ImmunosuppressiveDiseases DivisionStateKey LaboratoryforAnimal Disease Cont National Poultry laboratory Animal resource Center Harbin 150069China

Avian metapneumovirus(aMPV) is a highly contagious pathogen that causes acute upper respiratory tract diseases in chickens and turkeys, resulting in serious economic losses. Subtype B aMPV has recently become the dominant epidemic strain in china. We developed an attenuated aMPV subtype B strain by serial passaging in Vero cells and evaluated its safety and efficacy as a vaccine candidate. The safety test showed that after the 30th passage, the LN16-A strain was fully attenuated, as clinical signs of infection and histological lesions were absent after *** LN16-A strain did not revert to a virulent strain after five serial passages in chickens. The genomic sequence of LN16-A differed from that of the parent wild-type LN16(wtLN16) strain and had nine amino acid mutations. In chickens, a single immunization with LN16-A induced robust humoral and cellular immune responses, including the abundant production of neutralizing antibodies, CD4^(+) T lymphocytes, and the Th1(IFN-γ) and Th2(IL-4 and IL-6)cytokines. We also confirmed that LN16-A provided 100% protection against subtype B aMPV and significantly reduced viral shedding and turbinate inflammation. Our findings suggest that the LN16-A strain is a promising live attenuated vaccine candidate that can prevent infection with subtype B aMPV.

关键词： avian metapneumovirus attenuated protection vaccine candidate chickens

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