潘保芝，女，山东齐河人，1962年11月5日生，汉族，吉林大学地球探测科学与技术学院教授，博士生导师，应用地球物理国家级实验教学中心主任，兼任吉林大学岩石物理实验室主任。”唐敖庆学者”英才教授，吉林省教学名师，长春市师德先进个人，宝钢优秀教师奖，吉林省教书育人楷模称号。中国地质学会金锤奖；吉林省有突出贡献的中青年科技工作者；国土资源部百名跨世纪人才；吉林省拔尖创新人才，吉林大学学报（地球科学版）编委。。1983年毕业于长春地质学院勘探地球物理专业，86年获硕士学位，02年获得吉林大学工学学位。1995年英国莱斯特大学高级访问学者；2001－2002年在加拿大西安大略大学访问学者；2014年 美国斯坦福大学高级研究学者。钻研团队创始人和现任Leader，累计培养博士27人，硕士64人。目前是国家级特色专业“勘查技术与工程”的负责人，国家级精品课《钻井地球物理勘探》的负责人，“应用地球物理”国家级优秀教学团队的领头人。

      主讲的本科课程有“钻井地球物理勘探”、“测井数据处理与综合解释”、“水文与工程测井”和“科技英语”。共发表文章341篇，其中SCI 57篇，EI 35篇，核心269篇，专利7项，出版教材3本，著作（专著）2本。从教三十多年来，一直承担《钻井地球物理勘探》、《测井数据处理与综合解释》等专业课程主讲，是国家级精品课程《钻井地区物理勘探》的负责人。参编了由地质出版社出版的教材《钻井地区物理勘探》、《地球物理测井数据处理与综合解释》，并编写了校内讲义和开发实验课程与实验项目。所参与的“应用地球物理教学体系建设创新与实践”获吉林省教学成果一等奖。所负责建设的《钻井地球物理勘探》网络课程获吉林省教育技术成果一等奖。

       先后主持或参加国家重点攻关项目、国家自然科学基金“八五”、“九五”重大项目、面上项目、国家油气专项、国家重大科技专项、国际合作科研项目等50余项，有9项科研成果获得省部级科技奖励。在“八五”期间，主持了国家重点攻关项目中的课题《新疆塔里木盆地北部砂泥岩薄交互储测井解释方法研究》。通过近5年的攻关，建立了一个完整的砂泥岩薄互层测井评价软件系统。提高了解释的精度，纵向分辨率提高1－4倍，该项成果 “总体上达到国际先进水平”，该项成果获部科技成果二等奖，为第一获奖人。在“九五”期间，主持国家自然基金重大项目的子课题《复杂油气储层测井数据处理与解释的理论和方法研究》，通过多年来对火成岩储层评价方法进行了深入研究,提高了评价孔隙度精度。针对火成岩孔隙结构特点，开发了火成岩测井处理软件系统－SIMPLE。经在大庆实际应用、效果很好，2001年获大庆油田“大庆油田可持续发展油储地球物理奉献者”表彰。

       近年在火山岩油气藏以及低阻、低孔低渗油气藏的测井评价方面进行了深入的研究，并为长庆油田、冀东油田、吉林油田、大庆油田以及中石化东北、西北以及华东油气公司提供了技术支持，取得了一定的应用成果。

一、完成项目情况：

 二、发表SCI情况：

[1]基于岩石物理参数转换模型的页岩气含气量评价新方法研究

[2]基于岩石物理转换模型的苏里格致密砂岩储层测井评价与产能预测

[3] BFA-CM最优化测井解释方法

[4]CEC比值法在凝灰质砂岩储层测井评价中的应用——以海-塔盆地X凹陷凝灰质砂岩储层为例

[5]Microseismic Source Location Using Deep Reinforcement Learning

[6]Microseismic Source Location Estimation Using Reverse Double-Difference Time Imaging

[7]Study on reservoir characteristics and evaluation methods of altered igneous reservoirs in Songliao Basin, China.

[8]A study on water saturation predictions in igneous reservoirs based on the relationship between the transverse relaxation time and the resistivity index

[9]An experimental study on the complex resistivity of fractured rock under different saturation conditions

[10]Study on the C0–Cw relationship of clay-bearing sandstones based on digital cores

[11]A comprehensive analysis of the pyrolysis effects on oil shale pore structures at multiscale using different measurement methods.

[12]Effects of Clay Minerals and Pore-Water Conductivity on Saturation Exponent of Clay- Bearing Sandstones Based on Digital Rock

[13]Depth Prediction of Karstic-Fault Reservoirs Based on Wellbore Temperature Measurements and Numerical Simulations.

[14]Experiment and analysis for the influence of saturating method on saturation exponent n

[15]Calculation of heavy oil viscosity in high water cut stage.

[16]Geophysical survey of geothermal energy potential in the Liaoji Belt, northeastern China.

[17]The temperature distribution model and its application to reservoir depth prediction in fault-karst carbonate reservoirs

[18]A New Method to Identify Reservoirs in Tight Sandstones Based on the New Model of Transverse Relaxation Time and Relative Permeability

[19]A process neural network model for calculation of heavy oil viscosity in high water cut stage.

[20]Association between prevalence rate of dementia with Lewy bodies and sleep characteristics in Chinese old adults

[21]A new model to predict the relative permeability of wetting phase for tight sandstones

[22]Research on the physical properties of supercritical CO2 and the log evaluation of CO2-bearing volcanic reservoirs(Article)

[23]A study of the application potential of I-Kr models based on the influencing effects of shaly sandstone reservoirs

[24]Research on the calculation method of shale and tuff content: Taking tuffaceous reservoirs of X depression in the Hailar-Tamtsag Basin as an example(Article)

[25]Experimental Study on the Saturation Model of Volcanic Rock Based on Fluid Distribution

[26]Evaluating fractures in rocks from geothermal reservoirs using resistivity at different frequencies.

[27]Probability distribution method based on the triple porosity model to identify the fluid properties of the volcanic reservoir in the Wangfu fault depression by well log

[28]Evaluation of volcanic reservoirs with the "QAPM mineral model" using a genetic algorithm

[29]Location of the tectonic boundary between the Paleoproterozoic Jiao–Liao–Ji Belt and the Archean Longgang Block in the Lianshanguan area, northeastern China.

[30]Three-dimensional structural modeling and deformation analysis of Archean magnetite quartzite from the Anshan–Benxi area, northeastern China

[31]A research on the relationship between resistivity index and relative permeability at different measurement conditions based on the pore structure

[32]Experiments on acoustic measurement of fractured rocks and application of acoustic logging data to evaluation of fractures

[33]BFA-CM optimization log interpretation method

[34]Application of the CEC ratio method in evaluation of tuffaceous sandstone reservoirs: an example in the X depression of Hailar-Tamtsag basin

[35]Does the Liaoji granite represent basement in the Jiao–Liao–Ji Belt?

[36]Application of fullbore formation microimager logging in the evaluation of anisotropic resistivity in a thin interbed reservoir

[37]Research on the methods of splitting and prediction point by point in tight sandstone gas reservoir productivity(Article)

[38]Numerical simulation of wellbore and formation temperature fields in carbonate formations during drilling and shut-in in the presence of lost circulation

• [1] 1999.9 -- 2002.12

  吉林大学       勘查技术

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