岩性识别,lithology identification英语短句,例句大全

岩性识别,lithology identification
1)lithology identification岩性识别
1.Well-Log lithology identification is a very important basis tasks in petroleum exploration and the correct lithology identification may supply a decision criterion for oil exploration and exploitation.测井岩性识别是石油勘探中十分重要的基础工作,准确的岩性识别结果可以为勘探和开发提供可靠的依据。
2.To finding the suitable well logging parameter set can use lithology identification through collecting the different well logging parameter set and contrasting the lithology identification results based on one against all support vector machines(SVM) and collected parameter set from well logging.对测井曲线提取的不同参数值,进行支持向量机(support vector machines,SVM)岩性识别对比,找出适合于岩性识别的测井参数集。
3.In view of the technical problems of powdered cuttings lithology identification with air drilling in Puguang area,the paper introduced the researched results from the aspects of cuttings acquisition and processing,digital images acquisi- tion,micro-image analysis,lithology identification etc.针对普光地区空气钻井粉末状岩屑岩性识别的技术难题,从岩屑的采集处理、数字图像的采集、显微图像分析、岩性识别等方面介绍了研究成果。

英文短句/例句

1.Study on Lithologic Identification and Fracture Evaluation of Igneous Rock Reservoirs;火成岩储层岩性识别及裂缝评价研究
2.The Technology Research on Volcanite Lithology Log Identification Method火山岩的成像测井岩性识别技术研究
3.Bayes Discriminant Analysis Method in Lithology RecognitionBayes判别分析方法在岩性识别中的应用
4.APPLICATION OF SEVERAL LOGGING METHODS IN IGNEOUS ROCK LITHOLOGY IDENTIFICATION多种测井方法在火成岩岩性识别中的应用
5.Study on lithologic identification of glutenite reservoir of the south actic region,Biyang sag泌阳凹陷南部陡坡带砂砾岩储层岩性识别研究
6.THE IDENTIFICATION METHOD OF IGNEOUS ROCK LITHOLOGY IN 69 AREA OF JUNGGAR BASIN准噶尔盆地六九区火成岩岩性识别方法研究
7.Application of self-organization maps network in identifying the lithology of igneous rock自组织神经网络在火成岩岩性识别中的应用
8.Lithologic Identification Based on Fuzzy Support Vector Machines基于模糊支持向量机方法的岩性识别
9.Lithology and Lithofacies Classification of Carboniferous Volcanic Rock Reservoir at Block-6 to Block-9 in Karamay Oil Field, Junggar Basin克拉玛依六区——九区石炭系火山岩油藏岩性识别与岩相划分
10.THE APPLICATION OF ARTIFICIAL NEURAL NETWORK IN LITHOLOGY AUTO-IDENTIFICATION FROM COAL WELL LOGS神经网络模型在测井岩性识别中的应用
11.Multi-classifier Combination and Its Appliance in the Lithology Identify;多分类器的组合及其在岩性识别上的应用
12.APPLICATION OF SAR REMOTE SENSING DATA TO LITHOLOGICAL IDENTIFICATION AND ROCK CLASSIFICATIONSAR遥感数据用于岩性识别与分类的研究
13.Research on Two Lithology Identification Methods Based on Neural Network基于神经网络的两种岩性识别方法的研究
14.Feature Analysis and Lithology Identification of Low Permeability Reservoir in Youquanzi Oilfield油泉子油田低渗透储层特征分析及岩性识别
15.DISTINGUISHING OF VOLCANICS LITHOLOGY IN JIAMUHE FORMATION OF PERMIAN SYSTEM,5-8 DISTRICTS,KARAMAY OILFIELD克拉玛依油田5—8区二叠系佳木河组火成岩岩性识别
16.The Logging Research for Pyroclastic Rock Identification;火山碎屑岩岩性的测井识别方法研究
17.Lithology Identification of Igneous Rock Using FMI Texture AnalysisFMI图像纹理统计方法识别火成岩岩性
18.Study on Fluid Identification of Carbonate in Tahe Field;塔河油田碳酸盐岩流体性质识别研究

相关短句/例句

lithologic identification岩性识别
1.A lithologic identification method of igneous rocks and its application:a case of the igneous reservoir in Block Zao-35;火成岩岩性识别方法及其应用研究——以大港枣园油田枣35块火成岩油藏为例
2.Aiming at the fuzzy character that exists in complex lithologic identification,the problems of lithologic identification are researched by cross plot and fuzzy clustering algorithm.针对复杂岩性识别中存在的模糊性,应用交会图和模糊聚类方法对复杂岩性储层的岩性识别问题进行了研究。
3.Because the effect of lithology is far in excess of fluid,lithologic identification is espe- cially important in the area.徐深气田储层主要以火山岩为主,而火山岩储层岩性复杂多变,其岩性的影响远远超过流体的影响,因此岩性识别对该地区显得尤为重要。
3)lithology recognition岩性识别
1.Lithology recognition takes main important role in gas and oil development.岩性识别在油气勘探开发中占据重要的位置。
2.It is pointed out that slice of seismic information should be optimized and used reasonably and accurately in terms of different seismicgeology condition with the purpose that it will bring into play in the aspects of structural interpretation, lithology recognition, reservoir prediction and so on.提出应根据不同地震地质条件 ,合理、准确地优选和利用地震信息切片 ,使其在构造解释、岩性识别及储层预测等方面发挥应有的作
3.Based on the 325 rock samples of slice analysis and whole rock analysis from Xujiaweizi area,Songliao basin,the correct rates of the lithology recognition were 79.针对火山岩储层岩性识别难的问题,提出一种将主成分分析和SOM神经网络相结合对测井资料进行处理的岩性识别方法。
4)lithological discrimination岩性识别
1.On the basis of analyzing the speciality of the limestone reservoir which is micrite muscovite quality, the lithological discrimination method and reservoir dividing standards of it are established with combination of oil well and core a-nalysis data.本文在对泥晶白云质灰岩储层的特殊性进行分析的基础上,结合测井和岩心分析资料,建立了泥晶白云质灰岩储层岩性识别方法和储层划分标准,并结合试油资料,总结了该类储层流体性质的识别方法和解释标准,在实际生产应用中取得了较好的效果。
2.This system, which is developed on the basis of FORWARD platform and can be run in Sun workstation and microcomputers, is made up of the 3D horizontal well description and reservoir spread subsystem, the environmental correction subsystem lithological discrimination subsystem and interpretation subsystem.本系统由水平井三维描述及油藏展布子系统、水平井环境校正子系统、水平井岩性识别子系统、水平井解释子系统构成,基于FORWARD平台开发并能在Sun工作站和微机上运行,使用Visual C++/Matlabe/Fortran为编程工具混编而成,较为先进的人机交互式界面系统,将上述子系统融为一体,突出了本系统界面友好、自动化程度高、可用性强的特点。
3.Based on it,this paper introduces the evaluation research and applications from lithological discrimination,reservoir identification and reservoir parameter determination.在此基础上,本文从火山岩岩性识别、储层识别、储层参数确定等方面开展了测井评价研究与应用,总结出适合地区特点、可操作性强的火山岩储层测井评价方法,效果显著。
5)lithologic recognition岩性识别
1.The study has been carried out for application of BP neural networks technique to lithologic recognition in logging interpretation of volcanic rocks in view of the speciality of volcanic reservoir (complexity.针对火山岩储层的特殊性(复杂性、离散性和随机性),应用BP神经网络技术对火山岩测井解释中岩性识别问题进行了研究。
2.By applying the algorithms to some examples and practical lithologic recognition, the results show that the algorithms are effective.针对ＢＰ网络存在易陷入局部极小和收敛速度慢的问题，本文根据遗传算法的特长，在网络学习算法中使用遗传算法，克服了上述弊端，在岩性识别的样本学习中，取得了较好的结果。
6)identify of cuttings character岩屑岩性识别