基于测井-地震多属性分析的储层预测方法及应用
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摘要
快速准确评价新的油藏并使其投入开发,是油田勘探开发的重要环节,储层预测技术是油藏评价的关键技术。本论文研究的意义在于,跟踪国内外测井与地震属性分析先进技术,探讨储层预测研究方法,建立快速有效的储层预测流程并能很好地应用于实际的油藏评价与预测工作。
本论文的研究思路是,首先通过阅读大量的文献资料,基本掌握国内外同行业技术领域的研究与应用现状以及发展趋势;其次,按照方法学原理,初步形成储层预测方法学技术思路,运用地震多属性分析技术手段,建立合理的储层预测方法流程;同时在研究过程中结合实际工区资料建立合理的解释模型,最后用实际工区数据资料来检验流程的合理性、模型的适应性,并通过实际工区资料的处理使储层预测方法得到进一步优化。
本研究所选择的研究工区是大庆油田西南部王府构造的临江地区,通过实际的测井与地震资料的处理,新的解释模型得到了有效应用,新建立的储层预测方法流程得到了有效检验。本文的创新性研究成果表现在:
(1)首次将预测学、方法学理论引入油气储层预测领域,提出了导致储层预测失利的六大误区,为后续储层预测方法学的进一步研究、应用奠定了基础;
(2)根据方法学原理,提出了以基础资料分析为基础,层序地层学、沉积学、石油地质等理论为指导,定性—定量储层预测技术为手段,岩性、物性、含油气性预测为目的的一整套优化的、多学科协同工作的测井—地震多属性分析储层综合预测方法,即提高预测可信度和精度的“五阶段”储层预测新方法;
(3)针对低孔、低渗复杂油气藏,在常规的测井解释经验模型的基础上,建立了适合复杂沙泥岩油气藏的三孔隙度测井属性解释模型。对于提高储层预测精度和可靠程度,具有重要的作用;
Fast and accurate evaluating the new reservoir and putting it into development is an important segment in oilfield exploration and development, and reservoirprediction technology is a key of reservoir evaluation. The meaning of thisdissertation lies in, tracing the advanced technology in well logging and seismic multi-attribute analysis at home and abroad, investigating the reservoir prediction methods, establishing the fast and effective reservoir prediction technical process andputting it into the reservoir evaluation and prediction work very well.
The study thought of this dissertation is follows, firstly, grasping the present status and developing trend of the study and application of this technology at home and abroad, secondly, in accordance with the methodology theory, forming the reservoir prediction technical thought basically, using seismic multi-attribute technical methods, establish the reasonable reservoir prediction technical process; in the samewhile, set up the rational interpretation model by combining the actual field data during the studying course, finally, verify the rationality of the technical process and the adaptability of the model with the real field data information, and optimize thereservoir prediction method by processing the real field data.
After more than one year’s study, the analysis on a mount of documents about well logging, seismic multi-attribute and reservoir evaluation, etc, have been finished, proposed the primary concept and technical thought of reservoir prediction methodology, determined the critical technology and analysis method of reservoirprediction by combining organically with major discipline such as seismic and well logging: taking core analysis technology as the foundation, carry out the accurate well logging interpretation, determine the primary parameters and geology rules for reservoir study, then, extract the seismic attribution, predict the lithologic characters, petrophysical properties and oil or gas-bearing prediction by using the technologies including linear and nonlinear inversion, frequency division technology, AVOtechnology, multi-attribute analysis. Under the guide of methodology, we haveestablished well logging interpretation models, traced the most innovated seismic attribution analysis technology in the world, and set up the multi-discipline syntheticreservoir prediction technical process on the basis of well logging—seismic multi-attribute analysis.
The target industrial district selected by this study is the Linjiang Area of Wangfu Structure in the southwest of Daqing Oilfield, by practically processing the well logging and seismic data, the new interpretation model was put into effectiveapplication, and the newly established reservoir prediction technical process was verified effectively.
The innovative points of this dissertation are as follows:
1 Introduced the basic concept about the methodology of reservoir prediction;
2 Primarily established technical thought and working process of reservoirprediction method on the basis of well logging--seismic data processing and interpretation, i.e.: a new method of “five stage ”reservoir prediction in which the credible and accuracy of prediction was promoted.
本论文的研究思路是,首先通过阅读大量的文献资料,基本掌握国内外同行业技术领域的研究与应用现状以及发展趋势;其次,按照方法学原理,初步形成储层预测方法学技术思路,运用地震多属性分析技术手段,建立合理的储层预测方法流程;同时在研究过程中结合实际工区资料建立合理的解释模型,最后用实际工区数据资料来检验流程的合理性、模型的适应性,并通过实际工区资料的处理使储层预测方法得到进一步优化。
本研究所选择的研究工区是大庆油田西南部王府构造的临江地区,通过实际的测井与地震资料的处理,新的解释模型得到了有效应用,新建立的储层预测方法流程得到了有效检验。本文的创新性研究成果表现在:
(1)首次将预测学、方法学理论引入油气储层预测领域,提出了导致储层预测失利的六大误区,为后续储层预测方法学的进一步研究、应用奠定了基础;
(2)根据方法学原理,提出了以基础资料分析为基础,层序地层学、沉积学、石油地质等理论为指导,定性—定量储层预测技术为手段,岩性、物性、含油气性预测为目的的一整套优化的、多学科协同工作的测井—地震多属性分析储层综合预测方法,即提高预测可信度和精度的“五阶段”储层预测新方法;
(3)针对低孔、低渗复杂油气藏,在常规的测井解释经验模型的基础上,建立了适合复杂沙泥岩油气藏的三孔隙度测井属性解释模型。对于提高储层预测精度和可靠程度,具有重要的作用;
Fast and accurate evaluating the new reservoir and putting it into development is an important segment in oilfield exploration and development, and reservoirprediction technology is a key of reservoir evaluation. The meaning of thisdissertation lies in, tracing the advanced technology in well logging and seismic multi-attribute analysis at home and abroad, investigating the reservoir prediction methods, establishing the fast and effective reservoir prediction technical process andputting it into the reservoir evaluation and prediction work very well.
The study thought of this dissertation is follows, firstly, grasping the present status and developing trend of the study and application of this technology at home and abroad, secondly, in accordance with the methodology theory, forming the reservoir prediction technical thought basically, using seismic multi-attribute technical methods, establish the reasonable reservoir prediction technical process; in the samewhile, set up the rational interpretation model by combining the actual field data during the studying course, finally, verify the rationality of the technical process and the adaptability of the model with the real field data information, and optimize thereservoir prediction method by processing the real field data.
After more than one year’s study, the analysis on a mount of documents about well logging, seismic multi-attribute and reservoir evaluation, etc, have been finished, proposed the primary concept and technical thought of reservoir prediction methodology, determined the critical technology and analysis method of reservoirprediction by combining organically with major discipline such as seismic and well logging: taking core analysis technology as the foundation, carry out the accurate well logging interpretation, determine the primary parameters and geology rules for reservoir study, then, extract the seismic attribution, predict the lithologic characters, petrophysical properties and oil or gas-bearing prediction by using the technologies including linear and nonlinear inversion, frequency division technology, AVOtechnology, multi-attribute analysis. Under the guide of methodology, we haveestablished well logging interpretation models, traced the most innovated seismic attribution analysis technology in the world, and set up the multi-discipline syntheticreservoir prediction technical process on the basis of well logging—seismic multi-attribute analysis.
The target industrial district selected by this study is the Linjiang Area of Wangfu Structure in the southwest of Daqing Oilfield, by practically processing the well logging and seismic data, the new interpretation model was put into effectiveapplication, and the newly established reservoir prediction technical process was verified effectively.
The innovative points of this dissertation are as follows:
1 Introduced the basic concept about the methodology of reservoir prediction;
2 Primarily established technical thought and working process of reservoirprediction method on the basis of well logging--seismic data processing and interpretation, i.e.: a new method of “five stage ”reservoir prediction in which the credible and accuracy of prediction was promoted.
引文
[1] French, W. S., 2005, Distinguished Achievement Award for Curtis Reservoir Geophysics Consortium: The Leading Edge, 24, no. 02, 198-199.
[2] Pennington, W., 2001, Reservoir geophysics: Geophysics, Soc. of Expl. Geophys., 66, 25-30.
[3] Middleton, M. F., Winkler, D. and Bick, M., 2000, Magnetic signatures produced by fluid flow in porous sediments: 14th Geophysical Conference, Austr. Soc. Expl. Geophys., 31, 413-417.
[4] Johann, P., 1999, Reservoir geophysics in deep and ultradeep water in the Campos Basin: The Leading Edge, 18, no. 7, 819-822.
[5] Dillon, L. D., Bastos, A. D. C., Schwedersky, G. and Sobrinho, A. A., 1998, Dispersion effects and their impact on reservoir geophysics: A Brazilian turbidite field example, 68th Ann. Internat. Mtg: Soc. of Expl. Geophys., 972-975.
[6] Sattlegger, J. and Zien, H., 1998, 3D Standard and Image Ray Map Migration/Modelling as Related to Reservoir Geophysics, 60th Mtg.: Eur. Assn. Geosci. Eng., Session:01-24.
[7] Pennington, W. D., 1997, Seismic petrophysics: An applied science for reservoir geophysics: The Leading Edge, 16, no. 03, 241-244.
[8] Sheriff, R. E. and Fellow, H. W., 1993, The Role of Reservoir Geophysics: Preview, , no. 43, 11-12.
[9] Sheriff, R. E., 1993, The status and advances in reservoir geophysics, 63rd Ann. Internat. Mtg: Soc. of Expl. Geophys., 1209. (* Recent Advances and the Road Ahead)
[10]Withers, R. J., 1992, The value of reservoir geophysics: The Leading Edge, 11, no. 03, 35-39.
[11] A New Contribution to Subsurface Studies by Means of Electrical Measurements in Drill Holes, C. & M. Schlumberger, E.G. Leonardon, AIME, 1933
[12] Electrical Resistivity Log as an Aid in Determining Some Reservoir Characteristics, G.E. Archie, Journal of Petroleum Technology, 1941
[13] Electric Logging, E.R. Stratton, R. D. Ford, Colorado School of Mines, 1949
[14] Natural Potentials in Well Logging, W.D. Mounce, W. M. Rust, Jr. AIME, 1948
[15] Application of Dipmeter Survey, E.F. Stratton, R.G. Hamilton, AIME, 1947
[16] The Microlog -A New Electrical Logging Method for Detailed Determinations of Permeable Beds, H.B. Doll, AIME, 1950
[17] Introduction to Induction Logging and Application to Logging of Wells Drilled With Oil Base Mud, H.G. Doll, AIME, 1949
[18]. Microlaterolog, H.G. Doll, Journal of Petroleum Technology, 1953
[19] Coates,G.,Miller,M.N.,Henderson,G.,1992,“The MRIL in Conoco 33 1:An investigation of a new magnetic resinance imaging log”,32nd SPWLA,
[20] Radioactivity Well Logging -Gamma Ray Measurements, R.E. Fearon, Lane Wells, 1946
[21] Radioactive Well Log Interpretation, J.P. Campbell, A.B. Winter, Lane Wells, 1946
[22] Formation Density Log Application in Liquid-Filled Holes, R.P. Alger, L.L. Ramer, W.R. Hoyle, M.P. Tixier, Journal of Petroleum Technology, 1964
[23] Carbon/Oxygen Log, Dresser Atlas, 1981
[24] Sonic Logging in Consolidated Formations, C.A. Doh, R.P. Alger, SWSC, 1958
[25] Velocity Log Characteristics, A.A. Stripling, Journal of Petroleum Technology, 1958
[26] 吴继余,裂缝形储集层评价,石油工业测井技术科技情报协作组第四次会议论文集,国外测井技术水平调研专辑, 1986
[27]乐友喜博士论文:地震属性提取、分析与应用方法研究,石油勘探开发研究院,2002;
[28]邬长武博士论文:地震属性在塔中16-24 井区奥陶系碳酸盐岩储层预测中的应用,石油大学,2001
[29]庄东海博士论文:地震属性分析与四维地震方法研究及应用,中国地质大学,1999;
[30] 沈平平,宋新民,曹宏,现代油藏描述新方法,石油工业出版社,2003.1
[31] Dorrington, K. and Link, C. A., 2004, Genetic-algorithm/neural-network approach to seismic attribute selection for well-log prediction: Geophysics, Soc. of Expl. Geophys., 69, 212-221.
[32] Wen, R., 2004, 3D Strtigraphic Modeling of Channelized Reservoirs: Methods and Applications in Seismic Attribute Facies Classification: Recorder, 29, no. 3, 38-45.
[33] Phillips, D., Norris, G. and Riese, W., 2004, Application of seismic attribute analysis to anisotropy identification in the Wamsutter Development Area, Wyoming, U.S., 74th Ann. Internat. Mtg.: Soc. of Expl. Geophys., 179-182.
[34] Strecker, U., Smith, M., Uden, R., Carr, M., Taylor, G. and Knapp, S., 2004, Seismic attribute analysis in hydrothermal dolomite, devonian Slave Point Formation, Northeast British Columbia, Canada, 74th Ann. Internat. Mtg.: Soc. of Expl. Geophys., 378-381.
[35] Liner, C., Li, C.-F., Gersztenkorn, A. and Smythe, J., 2004, SPICE: A new general seismic attribute, 74th Ann. Internat. Mtg.: Soc. of Expl. Geophys., 433-436.
[36] Ciz, R., Siggins, A. F., Dewhurst, D. N., Dodds, K. and Urosevic, M., 2004, Seismic attribute analysis of experimentally recorded waveforms, 74th Ann. Internat. Mtg.: Soc. of Expl. Geophys., 1638-1641.
[37] Barnes, A. E., 2003, Shadded relief seismic attribute: Geophysics, Soc. of Expl. Geophys., 68, 1281-1285.
[38] Barnes, A. E., 2003, Shadded relief seismic attribute: Geophysics, Soc. of Expl. Geophys., 68, 1281-1285.
[39] Rankey, E. C. and Mitchell, J. C., 2003, Impact of horizon uncertainty on seismic attribute analysis.: The Leading Edge, 22, no. 9, 820-828.
[40] Blumentritt, C., Sullivan, C., Marfurt, K. and Murphy, M., 2003, 3D seismic attribute illumination of Paleozoic tectonics, Central Basin Platform, west Texas, 73rd Ann. Internat. Mtg.: Soc. of Expl. Geophys., 1711-1714.
[41]范祯祥,郑仙种,范书蕊等,利用地震.、测井资料联合反演储层物性参数,石油地球物理勘探,1998,33(1):38-53;
[42] 彭传圣,常国贞,试论地震约束反演的不适定性,油气地质与采收率,2002,Vol.9(2):88-90;
[43]赵澄林,储层沉积学,现代油气勘探理论和技术培训教材-3,1998,石油工业出版社
[44]吴元燕徐龙张昌明, 《油气储层地质》, 石油工业出版社, 1996 年10 月第1 版
[45]李业编《预测学》广东-华南理工大学出版社1988 高等学校专科教材
[46]霍俊,《实用预测学》, 科学普及出版社, 1987 年3 月第1 版
[47]刘蔚华, 《方法学原理》, 山东人民出版社, 1989 年11 月第1 版,第19 页
[48]翁文波,《预测论基础》,石油工业出版社, 1984 年5 月第1 版
[49] 姚逢昌,地震反演的应用与限制,见:储层预测技术及应用。北京:石油工业出版社,2000,124~132。
[50]李庆忠,走向精确勘探的道路,石油工业出版社,1993
[51]孙建孟,王永刚主编,地球物理资料综合应用,“九五”中国石油天然气集团公司级重点教材,石油大学出版社,2001
[52]李庆忠. 论地震约束反演的策略. 石油地球物理勘探, 1998, 33 (4) : 423～438
[53] (刘雯林,油气田开发地震技术,北京: 石油工业出版社,1996)
[54] GNT 报告
[55]朱庆荣. 张越迁. 于兴河. 李胜利.,分频解释技术在表征储层中的运用,矿物岩石,2003(3),
[56]毕俊凤. 刘书会. 陈学国. 董立生,分频解释技术在桩106 地区馆上段河道砂体描述中的应用,油气地质与采收率,2005(5)
[57]袁子龙. 杨冰. 王建国. 薄层、薄互层地震反射时间域与频率域正演模拟研究及应,石油物探,1996(3)
[58] 张延章. 廖前进. 范军侠. 赵海宽, 地震微相分析技术在大港滩海探区的应用, 石油勘探与开发,2003(4);
[59]赵力民. 郎晓玲. 金凤鸣. 曹兰柱. 波形分类技术在隐蔽油藏预测中的应用石油勘探与开发,2001(6);
[60]赵力民. 彭苏萍. 郎晓玲. 赵太良. 利用Stratimagic 波形研究冀中探区大王庄地区岩性油藏, 石油学报,2002(4)
[61]李治. 邓国振. 罗凤芝. 地震道波形分类方法在储层预测中的应用——以二连盆地白音查干凹陷为例, 中国海上油气(地质) 2002(5);
[62] 李淑绮,高彦楼,唐振海,吉庆生, 扶杨油层砂体综合预测技术, 大庆石油地质与开发,第21 卷第4 期, 2002 年8 月,11~13
[63] 吴战培. 拟测井处理方法探讨, 石油物探,1995(1)
[64] 罗朝盛. 汪富泉. 用拟测井曲线重建声测井曲线的算法及应用,计算物理,1998(3);
[65] 王西文,大港油区周清庄油田精细储集层预测之波阻抗和拟测井参数反演,石油勘探与开发,2003(3);
[66] 曹正林,赵应成,刘全新,陈广波,勘探阶段岩性油气藏描述与预测技术思路及技术体系,地质勘探,2001 年11 月
[67] 刘金平. 刘云武. 高君. 谢春来,岩性圈闭储层描述技术及应用,石油地球物理勘探,2003(5);
[68] 杨平. 刘云武. 金成志.,岩性圈闭预测方法及应用,大庆石油地质与开发,2003(3);
[69] 吴胜和. 马晓芬. 陈崇河. 测井约束反演在高分辨率层序地层学中的应用,地层学杂志,2001(2);
[70] 李阳,高喜龙,刘占军,多井测井约束地震反演技术在埋岛油田的应用,中国海上油气(地质),第12 卷第1 期,1998 年。
[71] 黄地龙. 杨龙. 人机联作沉积相解释系统程序设计探讨,成都理工学院学报, 1995 年04 期
[72〕李舟波等译,《测井解释原理与应用》,石油工业出版社,1991 年。
[73]洪有密,测井原理与综合解释,石油大学出版社,1999.12
[74] 李春生. 王梅. 杨丽萍. 赵兴坤. 郭玲玲.,基于Agent 的测井曲线Intranet 网上操纵系统,大庆石油学院学报2002 年01 期
[75] 卢新卫. 金章东. 前馈神经网络的岩性识别方法,石油与天然气地质1999 年01 期;
[76] Hampson, D.P., Schuelke, J.S. and Quirein, J.A., 2001, Use of multiattribute transforms to predict log properties from seismic data: Geophysics, Soc. of Expl. Geophys., 66, 220-236.
[77] Masters, T., 1994, Signal and image processing with neural networks: John Wiley & Sons, Inc.
[78] Masters, T., 1995, Advanced algorithms for neural networks: John Wiley & Sons, Inc.
[79] Draper, N.R. and Smith, H., 1966, Applied regression analysis: John Wiley & Sons, Inc. Kalkomey, C.T., 1997, Potential risks when using seismic attributes as predictors of reservoir properties: The Leading Edge, Vol. 16, No. 9, 247-251.
[80] Draper, N.R. and Smith, H., 1966, Applied regression analysis: John Wiley & Sons, Inc. Kalkomey, C.T., 1997, Potential risks when using seismic attributes as predictors of reservoir properties: The Leading Edge, Vol. 16, No. 9, 247-251.
[81]陈信平,1999,AVO 漫谈,海上油气地质;
[82]黄绪德。地震勘探直接找油气在国外的最新发展。勘探地球进展。2004 年6 月,第27 卷第3 期:218~227
[83]黄绪德,油气预测与油气藏描述—地震直接找油气,江苏科学技术出版社,2003;
[84]陆基孟,地震勘探原理[M] . 北京:石油大学出版社,1996
[85]辛可锋、李振春、王永刚、屠世杰、马在田,地层等效吸收系数反演,石油大学资源系,东营257061,江苏油田计算站,南京210046。
[86]贝智敏、张纪、叶远生,吸收系数技术在东海储层预测中的应用,上海海洋石油局规划设计研究院上海(内部研究报告)
[87]邓央,王慷.新的AVO 分析处理软件包.石油地球物理勘探,1995,30(增刊2):126^-131
[88]刘雯林.油气田开发地震技术[M].北京:石油工业出版社,1995.
[89] Alvarez, G. and Larner, K., 2004, Relative performance of moveout-based multiple-suppression methods for amplitude variation with offset (AVO) analysis and common midpoint (CMP) stacking: Geophysics, Soc. of Expl. Geophys., 69, 275-285
[90] Russell, B., Hedlin, K., Hilterman, F. and Lines, L. R., 2003, Fluid-property discrimination with AVO: A Biot-Gassmann perspective: Geophysics, Soc. of Expl. Geophys., 68, 29-39.
[91]Li, Y., Downton, J. and Xu, Y., 2004, AVO Modeling in Seismic Processing and Interpretation. Part III: Applications: Recorder, 29, no. 2, 42-48.
[2] Pennington, W., 2001, Reservoir geophysics: Geophysics, Soc. of Expl. Geophys., 66, 25-30.
[3] Middleton, M. F., Winkler, D. and Bick, M., 2000, Magnetic signatures produced by fluid flow in porous sediments: 14th Geophysical Conference, Austr. Soc. Expl. Geophys., 31, 413-417.
[4] Johann, P., 1999, Reservoir geophysics in deep and ultradeep water in the Campos Basin: The Leading Edge, 18, no. 7, 819-822.
[5] Dillon, L. D., Bastos, A. D. C., Schwedersky, G. and Sobrinho, A. A., 1998, Dispersion effects and their impact on reservoir geophysics: A Brazilian turbidite field example, 68th Ann. Internat. Mtg: Soc. of Expl. Geophys., 972-975.
[6] Sattlegger, J. and Zien, H., 1998, 3D Standard and Image Ray Map Migration/Modelling as Related to Reservoir Geophysics, 60th Mtg.: Eur. Assn. Geosci. Eng., Session:01-24.
[7] Pennington, W. D., 1997, Seismic petrophysics: An applied science for reservoir geophysics: The Leading Edge, 16, no. 03, 241-244.
[8] Sheriff, R. E. and Fellow, H. W., 1993, The Role of Reservoir Geophysics: Preview, , no. 43, 11-12.
[9] Sheriff, R. E., 1993, The status and advances in reservoir geophysics, 63rd Ann. Internat. Mtg: Soc. of Expl. Geophys., 1209. (* Recent Advances and the Road Ahead)
[10]Withers, R. J., 1992, The value of reservoir geophysics: The Leading Edge, 11, no. 03, 35-39.
[11] A New Contribution to Subsurface Studies by Means of Electrical Measurements in Drill Holes, C. & M. Schlumberger, E.G. Leonardon, AIME, 1933
[12] Electrical Resistivity Log as an Aid in Determining Some Reservoir Characteristics, G.E. Archie, Journal of Petroleum Technology, 1941
[13] Electric Logging, E.R. Stratton, R. D. Ford, Colorado School of Mines, 1949
[14] Natural Potentials in Well Logging, W.D. Mounce, W. M. Rust, Jr. AIME, 1948
[15] Application of Dipmeter Survey, E.F. Stratton, R.G. Hamilton, AIME, 1947
[16] The Microlog -A New Electrical Logging Method for Detailed Determinations of Permeable Beds, H.B. Doll, AIME, 1950
[17] Introduction to Induction Logging and Application to Logging of Wells Drilled With Oil Base Mud, H.G. Doll, AIME, 1949
[18]. Microlaterolog, H.G. Doll, Journal of Petroleum Technology, 1953
[19] Coates,G.,Miller,M.N.,Henderson,G.,1992,“The MRIL in Conoco 33 1:An investigation of a new magnetic resinance imaging log”,32nd SPWLA,
[20] Radioactivity Well Logging -Gamma Ray Measurements, R.E. Fearon, Lane Wells, 1946
[21] Radioactive Well Log Interpretation, J.P. Campbell, A.B. Winter, Lane Wells, 1946
[22] Formation Density Log Application in Liquid-Filled Holes, R.P. Alger, L.L. Ramer, W.R. Hoyle, M.P. Tixier, Journal of Petroleum Technology, 1964
[23] Carbon/Oxygen Log, Dresser Atlas, 1981
[24] Sonic Logging in Consolidated Formations, C.A. Doh, R.P. Alger, SWSC, 1958
[25] Velocity Log Characteristics, A.A. Stripling, Journal of Petroleum Technology, 1958
[26] 吴继余,裂缝形储集层评价,石油工业测井技术科技情报协作组第四次会议论文集,国外测井技术水平调研专辑, 1986
[27]乐友喜博士论文:地震属性提取、分析与应用方法研究,石油勘探开发研究院,2002;
[28]邬长武博士论文:地震属性在塔中16-24 井区奥陶系碳酸盐岩储层预测中的应用,石油大学,2001
[29]庄东海博士论文:地震属性分析与四维地震方法研究及应用,中国地质大学,1999;
[30] 沈平平,宋新民,曹宏,现代油藏描述新方法,石油工业出版社,2003.1
[31] Dorrington, K. and Link, C. A., 2004, Genetic-algorithm/neural-network approach to seismic attribute selection for well-log prediction: Geophysics, Soc. of Expl. Geophys., 69, 212-221.
[32] Wen, R., 2004, 3D Strtigraphic Modeling of Channelized Reservoirs: Methods and Applications in Seismic Attribute Facies Classification: Recorder, 29, no. 3, 38-45.
[33] Phillips, D., Norris, G. and Riese, W., 2004, Application of seismic attribute analysis to anisotropy identification in the Wamsutter Development Area, Wyoming, U.S., 74th Ann. Internat. Mtg.: Soc. of Expl. Geophys., 179-182.
[34] Strecker, U., Smith, M., Uden, R., Carr, M., Taylor, G. and Knapp, S., 2004, Seismic attribute analysis in hydrothermal dolomite, devonian Slave Point Formation, Northeast British Columbia, Canada, 74th Ann. Internat. Mtg.: Soc. of Expl. Geophys., 378-381.
[35] Liner, C., Li, C.-F., Gersztenkorn, A. and Smythe, J., 2004, SPICE: A new general seismic attribute, 74th Ann. Internat. Mtg.: Soc. of Expl. Geophys., 433-436.
[36] Ciz, R., Siggins, A. F., Dewhurst, D. N., Dodds, K. and Urosevic, M., 2004, Seismic attribute analysis of experimentally recorded waveforms, 74th Ann. Internat. Mtg.: Soc. of Expl. Geophys., 1638-1641.
[37] Barnes, A. E., 2003, Shadded relief seismic attribute: Geophysics, Soc. of Expl. Geophys., 68, 1281-1285.
[38] Barnes, A. E., 2003, Shadded relief seismic attribute: Geophysics, Soc. of Expl. Geophys., 68, 1281-1285.
[39] Rankey, E. C. and Mitchell, J. C., 2003, Impact of horizon uncertainty on seismic attribute analysis.: The Leading Edge, 22, no. 9, 820-828.
[40] Blumentritt, C., Sullivan, C., Marfurt, K. and Murphy, M., 2003, 3D seismic attribute illumination of Paleozoic tectonics, Central Basin Platform, west Texas, 73rd Ann. Internat. Mtg.: Soc. of Expl. Geophys., 1711-1714.
[41]范祯祥,郑仙种,范书蕊等,利用地震.、测井资料联合反演储层物性参数,石油地球物理勘探,1998,33(1):38-53;
[42] 彭传圣,常国贞,试论地震约束反演的不适定性,油气地质与采收率,2002,Vol.9(2):88-90;
[43]赵澄林,储层沉积学,现代油气勘探理论和技术培训教材-3,1998,石油工业出版社
[44]吴元燕徐龙张昌明, 《油气储层地质》, 石油工业出版社, 1996 年10 月第1 版
[45]李业编《预测学》广东-华南理工大学出版社1988 高等学校专科教材
[46]霍俊,《实用预测学》, 科学普及出版社, 1987 年3 月第1 版
[47]刘蔚华, 《方法学原理》, 山东人民出版社, 1989 年11 月第1 版,第19 页
[48]翁文波,《预测论基础》,石油工业出版社, 1984 年5 月第1 版
[49] 姚逢昌,地震反演的应用与限制,见:储层预测技术及应用。北京:石油工业出版社,2000,124~132。
[50]李庆忠,走向精确勘探的道路,石油工业出版社,1993
[51]孙建孟,王永刚主编,地球物理资料综合应用,“九五”中国石油天然气集团公司级重点教材,石油大学出版社,2001
[52]李庆忠. 论地震约束反演的策略. 石油地球物理勘探, 1998, 33 (4) : 423～438
[53] (刘雯林,油气田开发地震技术,北京: 石油工业出版社,1996)
[54] GNT 报告
[55]朱庆荣. 张越迁. 于兴河. 李胜利.,分频解释技术在表征储层中的运用,矿物岩石,2003(3),
[56]毕俊凤. 刘书会. 陈学国. 董立生,分频解释技术在桩106 地区馆上段河道砂体描述中的应用,油气地质与采收率,2005(5)
[57]袁子龙. 杨冰. 王建国. 薄层、薄互层地震反射时间域与频率域正演模拟研究及应,石油物探,1996(3)
[58] 张延章. 廖前进. 范军侠. 赵海宽, 地震微相分析技术在大港滩海探区的应用, 石油勘探与开发,2003(4);
[59]赵力民. 郎晓玲. 金凤鸣. 曹兰柱. 波形分类技术在隐蔽油藏预测中的应用石油勘探与开发,2001(6);
[60]赵力民. 彭苏萍. 郎晓玲. 赵太良. 利用Stratimagic 波形研究冀中探区大王庄地区岩性油藏, 石油学报,2002(4)
[61]李治. 邓国振. 罗凤芝. 地震道波形分类方法在储层预测中的应用——以二连盆地白音查干凹陷为例, 中国海上油气(地质) 2002(5);
[62] 李淑绮,高彦楼,唐振海,吉庆生, 扶杨油层砂体综合预测技术, 大庆石油地质与开发,第21 卷第4 期, 2002 年8 月,11~13
[63] 吴战培. 拟测井处理方法探讨, 石油物探,1995(1)
[64] 罗朝盛. 汪富泉. 用拟测井曲线重建声测井曲线的算法及应用,计算物理,1998(3);
[65] 王西文,大港油区周清庄油田精细储集层预测之波阻抗和拟测井参数反演,石油勘探与开发,2003(3);
[66] 曹正林,赵应成,刘全新,陈广波,勘探阶段岩性油气藏描述与预测技术思路及技术体系,地质勘探,2001 年11 月
[67] 刘金平. 刘云武. 高君. 谢春来,岩性圈闭储层描述技术及应用,石油地球物理勘探,2003(5);
[68] 杨平. 刘云武. 金成志.,岩性圈闭预测方法及应用,大庆石油地质与开发,2003(3);
[69] 吴胜和. 马晓芬. 陈崇河. 测井约束反演在高分辨率层序地层学中的应用,地层学杂志,2001(2);
[70] 李阳,高喜龙,刘占军,多井测井约束地震反演技术在埋岛油田的应用,中国海上油气(地质),第12 卷第1 期,1998 年。
[71] 黄地龙. 杨龙. 人机联作沉积相解释系统程序设计探讨,成都理工学院学报, 1995 年04 期
[72〕李舟波等译,《测井解释原理与应用》,石油工业出版社,1991 年。
[73]洪有密,测井原理与综合解释,石油大学出版社,1999.12
[74] 李春生. 王梅. 杨丽萍. 赵兴坤. 郭玲玲.,基于Agent 的测井曲线Intranet 网上操纵系统,大庆石油学院学报2002 年01 期
[75] 卢新卫. 金章东. 前馈神经网络的岩性识别方法,石油与天然气地质1999 年01 期;
[76] Hampson, D.P., Schuelke, J.S. and Quirein, J.A., 2001, Use of multiattribute transforms to predict log properties from seismic data: Geophysics, Soc. of Expl. Geophys., 66, 220-236.
[77] Masters, T., 1994, Signal and image processing with neural networks: John Wiley & Sons, Inc.
[78] Masters, T., 1995, Advanced algorithms for neural networks: John Wiley & Sons, Inc.
[79] Draper, N.R. and Smith, H., 1966, Applied regression analysis: John Wiley & Sons, Inc. Kalkomey, C.T., 1997, Potential risks when using seismic attributes as predictors of reservoir properties: The Leading Edge, Vol. 16, No. 9, 247-251.
[80] Draper, N.R. and Smith, H., 1966, Applied regression analysis: John Wiley & Sons, Inc. Kalkomey, C.T., 1997, Potential risks when using seismic attributes as predictors of reservoir properties: The Leading Edge, Vol. 16, No. 9, 247-251.
[81]陈信平,1999,AVO 漫谈,海上油气地质;
[82]黄绪德。地震勘探直接找油气在国外的最新发展。勘探地球进展。2004 年6 月,第27 卷第3 期:218~227
[83]黄绪德,油气预测与油气藏描述—地震直接找油气,江苏科学技术出版社,2003;
[84]陆基孟,地震勘探原理[M] . 北京:石油大学出版社,1996
[85]辛可锋、李振春、王永刚、屠世杰、马在田,地层等效吸收系数反演,石油大学资源系,东营257061,江苏油田计算站,南京210046。
[86]贝智敏、张纪、叶远生,吸收系数技术在东海储层预测中的应用,上海海洋石油局规划设计研究院上海(内部研究报告)
[87]邓央,王慷.新的AVO 分析处理软件包.石油地球物理勘探,1995,30(增刊2):126^-131
[88]刘雯林.油气田开发地震技术[M].北京:石油工业出版社,1995.
[89] Alvarez, G. and Larner, K., 2004, Relative performance of moveout-based multiple-suppression methods for amplitude variation with offset (AVO) analysis and common midpoint (CMP) stacking: Geophysics, Soc. of Expl. Geophys., 69, 275-285
[90] Russell, B., Hedlin, K., Hilterman, F. and Lines, L. R., 2003, Fluid-property discrimination with AVO: A Biot-Gassmann perspective: Geophysics, Soc. of Expl. Geophys., 68, 29-39.
[91]Li, Y., Downton, J. and Xu, Y., 2004, AVO Modeling in Seismic Processing and Interpretation. Part III: Applications: Recorder, 29, no. 2, 42-48.