通南巴构造须四段致密砂岩优质储层预测
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摘要
针对川东通南巴构造须家河组四段储层较致密的特点,采用地球物理反演、地震属性分析、含气储层地震响应分析等多种方法相结合的研究思路,首先进行砂体预测,在明确砂体分布特征的基础上开展孔隙度预测,寻找砂体中孔隙度相对高的部分,同时在含气储层地球物理响应模式研究的基础上进行含气储层预测,最后预测了须四段优质储层的平面分布。该方法充分利用各种地质与地球物理信息,从砂体预测→高孔隙度砂体预测→含油气砂体预测,多种储层预测方法相结合逐步深入地寻找优质储层,指出有利勘探目标区,可以为致密碎屑岩油气藏勘探提供有充分地质依据的、行之有效的方案。
Reservoir of the fourth member of Xujiahe Formation of Tongnanba structure is more dense in east Sichuan.Combining methods of such as geophysical inversion,seismic attribute analysis,gas-bearing reservoir seismic response analysis,we make sand body prediction first.Then,on the basis of knowing the distribution of sand body clearly,we make porosity prediction,looking for parts of relatively high porosity of sand body.At the same time,we predict gas-bearing reservoir on the basis of studying geophysical response model of gas-bearing reservoir,and finally,we make predictions about plane distribution of high-quality reservoir of the fourth member of Xujiahe Formation.This method,making use of various geological and geophysical information,and combining many methods of reservoir prediction,from sand body prediction and high porosity sand body prediction to petroleum sand body prediction,works well in looking for high-quality reservoir and pointing out favorable target area of exploration,and thus provides effective scheme for tight clastic rock reservoir exploration.
Reservoir of the fourth member of Xujiahe Formation of Tongnanba structure is more dense in east Sichuan.Combining methods of such as geophysical inversion,seismic attribute analysis,gas-bearing reservoir seismic response analysis,we make sand body prediction first.Then,on the basis of knowing the distribution of sand body clearly,we make porosity prediction,looking for parts of relatively high porosity of sand body.At the same time,we predict gas-bearing reservoir on the basis of studying geophysical response model of gas-bearing reservoir,and finally,we make predictions about plane distribution of high-quality reservoir of the fourth member of Xujiahe Formation.This method,making use of various geological and geophysical information,and combining many methods of reservoir prediction,from sand body prediction and high porosity sand body prediction to petroleum sand body prediction,works well in looking for high-quality reservoir and pointing out favorable target area of exploration,and thus provides effective scheme for tight clastic rock reservoir exploration.
引文
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[13]石玉梅,姚逢昌,曹宏.多波多分量天然气勘探技术的进展[J].勘探地球物理进展,2003,26(3):173–177.Shi Yumei,Yao Fengchang,Cao Hong.Advances in mul-ti–wave exploration for natural gas[J].Progress in Explo-ration Geophysics,2003,26(3):173–177.
[14]憔述蓉,张虹,赵爽.川西DY地区须家河组致密砂岩储层预测技术及应用效果分析[J].石油天然气地质,2008,29(6):774–780.QiaoShurong,ZhangHong,ZhaoShuang.Reservoirpre-dictiontechniquesandtheirapplicationtotightsandstonesof the Xujiahe Formation in DY area,western SichuanBasin[J].Oil&Gas Geology,2008,29(6):774–780.
[15]李显贵,邵吉华,张涛.波阻抗模型正演技术在砂岩储层预测中的应用[J].石油物探,2004,43(6):584–586.Li Xiangui,Shao Jihua,Zhang Tao.Using forwardimpedance modeling to trace the sandstone reservoir[J].Geophysical Prospecting For Petroleum,2004,43(6):584–586.
[16]兰素清,陆明华.多种地球物理方法组合在储层预测中的应用[J].勘探地球物理进展,2002,25(6):43–46.Lan Suqing,Lu Minghua.Application of combined geo-physical technologies in reservoir prediction[J].Progressin Exploration Geophysics,2002,25(6):43–46.
[17]Wyllie M R J,Gegory A R,Gardner L W.Elastic Wavevelocities in heterogeneous and poros media[J].Geo-physics,1956,21(1):41–70.
[18]PickettGR.Acousticcharacterlogsandtheirapplicationsin formation evaluation[J].Journal of Petroleum Techno-logy,1963,15(6):659–667.
[19]Dolberg D M,Helgesen J.Porosity prediction from seis-mic inversion,Lavrans Field,HaltenTerrace,Norway[J].The Leading Edge,2000,19(4):392–399.
[20]马永生,郭旭升,凡睿.川东北普光气田飞仙关组鲕滩储集层预测[J].石油勘探与开发,2005,32(4):60–64.Ma Yongsheng,Guo Xusheng,Fan Rui.Reservoir pre-diction of Feixianguan Formation in Puguang Gas Field,Northeast Sichuan Province[J].Progress in ExplorationGeophysics,2005,32(4):60–64.
[21]Hampson D P,Schuelke J S,Quirein J A.Use of multiat-tribute transforms to predict Log properties from seismicdata[J].Geophysics,2001,66(1):220–236.
[22]Cooke D,Ball V,Muryanto T.What is the best seis-mic attribute for quantitative seismic reservoir character-ization?[A]//Annual Meeting Abstracts,Society of Ex-ploration Geophysicists[C].Tulsa:Society of ExplorationGeophysicists,1999:1588–1591.
[23]Brown A R.Seismic attributes and their classification[J].The Leading Edge,1996,15(10):1090.
[24]王长城.川东T构造须家河组储层地震响应及形成机制[J].西南石油大学学报:自然科学版,2010,32(6):29–32.Wang Changcheng.Geophysical response characteristicsof the gas-bearing reservoir in xujiahe formation eastern,Sichuan Area[J].Journal of Southwest Petroleum Univer-sity:Science&TechnologyEdition,2010,32(6):29–32.
[2]李勇根,徐胜峰.地震岩石物理和正演模拟技术在致密砂岩储层预测中的应用研究[J].石油天然气学报(江汉石油学院学报),2008,30(6):61–65.Li Yonggen,Xu Shengfeng.Application of seismic rockphysics and forward simulation in predicting tight sand-stone reservoirs[J].Journal of Oil and Gas Technology,2008,30(6):61–65.
[3]何晓菊,郭亚斌.鄂尔多斯盆地苏里格庙地区上古生界砂岩储层预测技术和效果[J].石油地球物理勘探,2002,37(增刊):9–13.HeXiaoju,GuoYabin.Reservoirpredictiontechniqueandeffect of sandstone about upper Paleozoic,in Sulige area,Ordos[J].Oil Geophysical Prospecting,2002,37(S1):9–13.
[4]张静,王彦春,赵凡,等.多参数联合反演预测致密含气砂岩[J].天然气地球科学,2008,19(6):864–869.Zhang Jing,Wang Yanchun,Zhao Fan,et al.Multi-parameters joint inversion technology predicts gas-bearing tight sandstone[J].Natural Gas Geoscience,2008,19(6):864–869.
[5]王怀忠,梁宝芹,刘卫林,等.多信息多参数反演技术在板南地区的应用[J].新疆地质,2004,22(2):200–202.Wang Huaizhong,Liang Baoqin,Liu Weilin,et al.Appli-cation of the multi-information and multi-parameters in-version technology in bannan area[J].Xinjiang Geology,2004,22(2):200–202.
[6]刘全新,高建虎,董雪华.储层预测中的非线性反演方法[J].岩性油气藏,2007,19(1):81–85.Liu Quanxin,Gao Jianhu,Dong Xuehua.Nonlinear in-version of the reservoir prediction-example of seimpar in-version[J].Lithologic Reservoirs,2007,19(1):81–85.
[7]尚新民,李红梅,韩文功,等.基于岩石物理与地震正演的AVO分析方法[J].天然气工业,2008,28(2):64–66.Shang Xinmin,Li Hongmei,Han Wengong,et al.AVOanalysis technology based on petrophysics and seismicforwardmodeling[J].NaturalGasIndustry,2008,28(2):64–66.
[8]黄中玉,赵金洲.纵波和转换波AVO联合反演技术[J].石油物探,2004,43(4):319–322.HuangZhongyu,ZhaoJinzhou.SimultaneousP-waveandS-wave AVO inversion[J].Geophysical Prospecting forPetroleum,2004,43(4):319–322.
[9]杨新菊,马建德.AVO正演模型研究及引用[J].海洋石油,2006,26(3):14–19.Yang Xinju,Ma Jiande.AVO forward model study[J].Offshore Oil,2006,26(3):14–19.
[10]张宏,佘晓宇,马永强.鄂西渝东石柱复向斜上三叠统须家河组储层预测[J].石油地球物理勘探,2008,44(1):115–120.Zhang Hong,She Xiaoyu,Ma Yongqiang.Upper Tri-assic Xujiahe Formation reservoir prediction on Shizhusynclinorium in the area of western Hubei and East-ern Chongqing[J].Oil Geophysical Prospecting,2008,44(1):115–120.
[11]孙国祥.地震储层预测技术在J22井区的应用[J].江汉石油职工大学学报,2006,19(2):12–15.Sun Guoxiang.Application of earthquake reservoir fore-castingtechnologyinJ22wellarea[J].JournalofJianghanPetroleumUniversity ofStaff and Workers,2006,19(2):12–15.
[12]叶泰然,付顺,吕其彪,等.多波地震联合反演预测相对优质储层以川西深层致密碎屑砂岩为例[J].石油天然气地质,2008,30(3):357–362.Ye Tairan,Fu Shun,LüQibiao,et al.Application ofmultiwave joint inversion to the prediction of relativelyhigh quality reservoirs an example from the predic-tion of deep tight clastic sandstone reservoirs in the west-ern Sichuan Basin[J].Oil&Gas Geology,2008,30(3):357–362.
[13]石玉梅,姚逢昌,曹宏.多波多分量天然气勘探技术的进展[J].勘探地球物理进展,2003,26(3):173–177.Shi Yumei,Yao Fengchang,Cao Hong.Advances in mul-ti–wave exploration for natural gas[J].Progress in Explo-ration Geophysics,2003,26(3):173–177.
[14]憔述蓉,张虹,赵爽.川西DY地区须家河组致密砂岩储层预测技术及应用效果分析[J].石油天然气地质,2008,29(6):774–780.QiaoShurong,ZhangHong,ZhaoShuang.Reservoirpre-dictiontechniquesandtheirapplicationtotightsandstonesof the Xujiahe Formation in DY area,western SichuanBasin[J].Oil&Gas Geology,2008,29(6):774–780.
[15]李显贵,邵吉华,张涛.波阻抗模型正演技术在砂岩储层预测中的应用[J].石油物探,2004,43(6):584–586.Li Xiangui,Shao Jihua,Zhang Tao.Using forwardimpedance modeling to trace the sandstone reservoir[J].Geophysical Prospecting For Petroleum,2004,43(6):584–586.
[16]兰素清,陆明华.多种地球物理方法组合在储层预测中的应用[J].勘探地球物理进展,2002,25(6):43–46.Lan Suqing,Lu Minghua.Application of combined geo-physical technologies in reservoir prediction[J].Progressin Exploration Geophysics,2002,25(6):43–46.
[17]Wyllie M R J,Gegory A R,Gardner L W.Elastic Wavevelocities in heterogeneous and poros media[J].Geo-physics,1956,21(1):41–70.
[18]PickettGR.Acousticcharacterlogsandtheirapplicationsin formation evaluation[J].Journal of Petroleum Techno-logy,1963,15(6):659–667.
[19]Dolberg D M,Helgesen J.Porosity prediction from seis-mic inversion,Lavrans Field,HaltenTerrace,Norway[J].The Leading Edge,2000,19(4):392–399.
[20]马永生,郭旭升,凡睿.川东北普光气田飞仙关组鲕滩储集层预测[J].石油勘探与开发,2005,32(4):60–64.Ma Yongsheng,Guo Xusheng,Fan Rui.Reservoir pre-diction of Feixianguan Formation in Puguang Gas Field,Northeast Sichuan Province[J].Progress in ExplorationGeophysics,2005,32(4):60–64.
[21]Hampson D P,Schuelke J S,Quirein J A.Use of multiat-tribute transforms to predict Log properties from seismicdata[J].Geophysics,2001,66(1):220–236.
[22]Cooke D,Ball V,Muryanto T.What is the best seis-mic attribute for quantitative seismic reservoir character-ization?[A]//Annual Meeting Abstracts,Society of Ex-ploration Geophysicists[C].Tulsa:Society of ExplorationGeophysicists,1999:1588–1591.
[23]Brown A R.Seismic attributes and their classification[J].The Leading Edge,1996,15(10):1090.
[24]王长城.川东T构造须家河组储层地震响应及形成机制[J].西南石油大学学报:自然科学版,2010,32(6):29–32.Wang Changcheng.Geophysical response characteristicsof the gas-bearing reservoir in xujiahe formation eastern,Sichuan Area[J].Journal of Southwest Petroleum Univer-sity:Science&TechnologyEdition,2010,32(6):29–32.
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