松辽盆地南部营城组火山岩裂缝的叠前地震识别
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摘要
根据盆缘露头、盆内岩心和成像测井分析松辽盆地南部营城组火山岩裂缝特征,利用正演结果优选裂缝叠前地震识别方法。营城组火山岩节理以垂直和高角度节理为主,约占80%,低角度节理和水平裂缝约占20%;按走向有3组,分别是北西-南东、近南北和北东-南西向。构造缝表现为高电导率(暗色)、连续、较规则的正弦-余弦曲线,也可呈暗色近垂直-水平线状,并交织成网状。成岩缝在FMI图像上可表现为高导和高阻2种类型,多数为黑色不规则中低角度正弦-余弦曲线,连续性差。通过正演发现振幅方位椭圆长轴方向近似地代表了裂缝走向,短轴方向近似地代表了裂缝法向,且含气时的椭圆扁率较含水时大。据此利用叠前地震振幅属性识别裂缝走向,其结果与成像测井解释结果具有一致性,可为火山岩勘探开发提供依据。
This paper analyses the characteristics of the volcanic fractures of Yingcheng Formation in the south of Songliao Basin by using the outcrops,cores and FMI data.It optimizes the recognition method of the pre-stack seism by forward model.The vertical and high-angle joints account for about 80% of the total volcanic rock joints of Yingcheng Formation,while the horizontal and low-angle joints account for about 20%.There are 3 sets of joints in the outcrop.Their strikes are NW-NE,nearly S-N and NE-SW.The structural fractures show as continuous high conductivity sinusoidal curves of the FMI image.And the lithological fractures also show high conductivity or high resistance sinusoidal curves on the FMI image with irregularity and relatively lower continuity.The seismic forward simulation indicates that the direction of the long axis of the seismic reflection amplitude ellipse approximately represents the strike of the fractures while the direction of the minor axis approximately represents the normal direction of the fractures,besides,the ellipticity of the ellipse with gas is larger than that with water.Based on the above,the strike of the fractures is recognized by using the pre-stack seismic attribute.The interpreted results are consistent with the results interpreted by imaging logging.The results can provide the basis for the volcanic rock exploration and development.
This paper analyses the characteristics of the volcanic fractures of Yingcheng Formation in the south of Songliao Basin by using the outcrops,cores and FMI data.It optimizes the recognition method of the pre-stack seism by forward model.The vertical and high-angle joints account for about 80% of the total volcanic rock joints of Yingcheng Formation,while the horizontal and low-angle joints account for about 20%.There are 3 sets of joints in the outcrop.Their strikes are NW-NE,nearly S-N and NE-SW.The structural fractures show as continuous high conductivity sinusoidal curves of the FMI image.And the lithological fractures also show high conductivity or high resistance sinusoidal curves on the FMI image with irregularity and relatively lower continuity.The seismic forward simulation indicates that the direction of the long axis of the seismic reflection amplitude ellipse approximately represents the strike of the fractures while the direction of the minor axis approximately represents the normal direction of the fractures,besides,the ellipticity of the ellipse with gas is larger than that with water.Based on the above,the strike of the fractures is recognized by using the pre-stack seismic attribute.The interpreted results are consistent with the results interpreted by imaging logging.The results can provide the basis for the volcanic rock exploration and development.
引文
[1]冯志强,刘嘉麒,王璞珺,等.油气勘探新领域———松辽盆地大型火山岩气田发现的启示[J].地球物理学报,2011,54(2):269-279.
[2]刘嘉麒,孟凡超,崔岩,等.试论火山岩油气藏成藏机理[J].岩石学报,2010,26(1):1-13.
[3]刘万洙,王璞珺,门广田,等.松辽盆地北部深层火山岩储层特征[J].石油与天然气地质,2003,24(1):28-31.
[4]徐宏节.松辽盆地长岭断陷火山岩储层特征[J].成都理工大学学报:自然科学版,2010,37(4):432-437.
[5]白雪峰.松辽盆地营城组火山岩储层裂缝特征[J].世界地质,2009,28(3):318-325.
[6]孙先达,索丽敏,张民志,等.激光共聚焦扫描显微检测技术在大庆探区储层分析研究中的新进展[J].岩石学报,2005,21(5):1479-1488.
[7]绪磊,齐井顺,罗明高,等.测井多参数识别火山岩裂缝[J].天然气勘探与开发,2009,32(1):21-25.
[8]邓攀,陈孟晋,高哲荣,等.火山岩储层构造裂缝的测井识别及解释[J].石油学报,2002,23(6):32-36.
[9]王建国,何顺利,刘红岐,等.火山岩储层裂缝的测井识别方法研究[J].西南石油大学学报:自然科学版,2008,30(6):27-30.
[10]冯斌,田波,韩德辉,等.成像测井技术在胜利油田桩海地区微裂缝构造分析中的应用[J].浙江大学学报:工学版,2003,37(2):254-258.
[11]陈钢花,吴文圣,王中文,等.利用地层微电阻率成像测井识别裂缝[J].测井技术,1999,23(4):279-281.
[12]柯式镇.井壁电成像测井全三维数值模拟与裂缝评价模型[J].中国科学D辑:地球科学,2008,38(S1):150-153.
[13]田立新,周东红,明君,等.窄方位角地震资料在裂缝储层预测中的应用[J].成都理工大学学报:自然科学版,2010,37(5):550-553.
[14]罗省贤,李录明.基于横波分裂的地层裂缝预测方法与应用[J].成都理工大学学报:自然科学版,2003,30(1):52-59.
[15]张虹,沈忠民.超致密裂缝性储层地震预测方法研究———以川西新场气田须二气藏勘探为例[J].成都理工大学学报:自然科学版,2008,35(2):149-158.
[16]孙炜,王彦春,李梅,等.利用叠前地震数据预测火山岩储层裂缝[J].物探与化探,2010,34(2):229-232.
[17]贺振华,李亚林,张帆,等.定向裂缝对地震波速度和振幅影响的比较———实验结果分析[J].物探化探计算技术,2001,23(1):1-5.
[2]刘嘉麒,孟凡超,崔岩,等.试论火山岩油气藏成藏机理[J].岩石学报,2010,26(1):1-13.
[3]刘万洙,王璞珺,门广田,等.松辽盆地北部深层火山岩储层特征[J].石油与天然气地质,2003,24(1):28-31.
[4]徐宏节.松辽盆地长岭断陷火山岩储层特征[J].成都理工大学学报:自然科学版,2010,37(4):432-437.
[5]白雪峰.松辽盆地营城组火山岩储层裂缝特征[J].世界地质,2009,28(3):318-325.
[6]孙先达,索丽敏,张民志,等.激光共聚焦扫描显微检测技术在大庆探区储层分析研究中的新进展[J].岩石学报,2005,21(5):1479-1488.
[7]绪磊,齐井顺,罗明高,等.测井多参数识别火山岩裂缝[J].天然气勘探与开发,2009,32(1):21-25.
[8]邓攀,陈孟晋,高哲荣,等.火山岩储层构造裂缝的测井识别及解释[J].石油学报,2002,23(6):32-36.
[9]王建国,何顺利,刘红岐,等.火山岩储层裂缝的测井识别方法研究[J].西南石油大学学报:自然科学版,2008,30(6):27-30.
[10]冯斌,田波,韩德辉,等.成像测井技术在胜利油田桩海地区微裂缝构造分析中的应用[J].浙江大学学报:工学版,2003,37(2):254-258.
[11]陈钢花,吴文圣,王中文,等.利用地层微电阻率成像测井识别裂缝[J].测井技术,1999,23(4):279-281.
[12]柯式镇.井壁电成像测井全三维数值模拟与裂缝评价模型[J].中国科学D辑:地球科学,2008,38(S1):150-153.
[13]田立新,周东红,明君,等.窄方位角地震资料在裂缝储层预测中的应用[J].成都理工大学学报:自然科学版,2010,37(5):550-553.
[14]罗省贤,李录明.基于横波分裂的地层裂缝预测方法与应用[J].成都理工大学学报:自然科学版,2003,30(1):52-59.
[15]张虹,沈忠民.超致密裂缝性储层地震预测方法研究———以川西新场气田须二气藏勘探为例[J].成都理工大学学报:自然科学版,2008,35(2):149-158.
[16]孙炜,王彦春,李梅,等.利用叠前地震数据预测火山岩储层裂缝[J].物探与化探,2010,34(2):229-232.
[17]贺振华,李亚林,张帆,等.定向裂缝对地震波速度和振幅影响的比较———实验结果分析[J].物探化探计算技术,2001,23(1):1-5.
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