火山岩储层识别描述技术探讨——以松南长岭断陷腰英台地区为例
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摘要
松南盆地长岭断陷营城组广泛发育火山岩,形成了爆发相和喷溢相叠合的有利相带,发育了空隙和裂缝双重介质的火山岩储集体,是该区的主要储集层。本文针对火山岩这一特殊岩性体埋藏深、岩性复杂、成层性差、平面分布规律复杂等特点,利用地球物理资料,从火山机构物理模型出发,综合应用多学科多技术手段对火山岩储层发育进行预测和描述。并以松南长岭断陷腰英台地区的火山岩为例,主要从火山口、火山岩体识别入手,利用沿层地震属性技术以及波形分类技术,从宏观上定性预测储层的分布,利用多井测井约束反演对储层展布特征进行定量预测,最终达到识别和预测火山岩储层,建立更准确的火山岩储层地质模型,从而达到指导油气勘探部署的目的。
The Yingcheng formation in Changling fault depression,Songnan basin,hosts extensively-distribution of volcanic,forming a favorable facies zone of explosive facies overlapping effusive facies with fissures and porosity being as volcanic reservoir.This paper,based on the characters of deeply-buried,complicated,poor bedding,and involute planar distribution rules,uses geophysical data and its physical model to forecast and describe the development of volcanic reservoir.This paper,based on a case study on Yaoyingtai volcanic reservoir,Changling fault-depression,adopts seismic and waveform classification technology from recognition of crator and volcanic bodies to qualitatively predict the distribution of reservoir,and to quantitatively predict the attitude of reservoir by using logging constraints,which has been proven to recognize and predict volcanic reservoir and to establish a more accurate volcanic reservoir model.
The Yingcheng formation in Changling fault depression,Songnan basin,hosts extensively-distribution of volcanic,forming a favorable facies zone of explosive facies overlapping effusive facies with fissures and porosity being as volcanic reservoir.This paper,based on the characters of deeply-buried,complicated,poor bedding,and involute planar distribution rules,uses geophysical data and its physical model to forecast and describe the development of volcanic reservoir.This paper,based on a case study on Yaoyingtai volcanic reservoir,Changling fault-depression,adopts seismic and waveform classification technology from recognition of crator and volcanic bodies to qualitatively predict the distribution of reservoir,and to quantitatively predict the attitude of reservoir by using logging constraints,which has been proven to recognize and predict volcanic reservoir and to establish a more accurate volcanic reservoir model.
引文
[1]陈建文,王德发,张晓东.松辽盆地徐家围子断陷营城组火山岩相和火山机构分析[J].地学前缘,2000,7(4):371-379
[2]唐华风,王璞?,姜传金,等.松辽盆地白垩系营城组隐伏火山机构物理模型和地震识别[J].地球物理学进展,2007,22(2):530-536
[3]黄薇,印长海,刘晓,等.徐深气田芳深9区块火山岩储层预测方法[J].天然气工业,2006,26(6):14-18
[4]卲正奎,孟宪禄,王璞?.松辽盆地火山岩地震反射特征及其分布规律[J].长春科技大学学报,1999,29(1):33-36
[5]黄玉龙,王璞?,冯志强,等.松辽盆地改造残留的古火山机构与现代火山机构的类比分析[J].吉林大学学报:地球科学版,2007,37(1):65-72
[6]唐华风,王璞?,姜传金,等.松辽盆地火山岩相地震特征及其与控陷断裂的关系[J].吉林大学学报:地球科学版,2007,37(1):73-78
[7]王璞?,陈树民,刘万洙,等.松辽盆地火山岩相与火山岩储层的关系[J].石油与天然气地质,2003,24(1):18-27
[8]王璞?,迟元林,刘万洙,等.松辽盆地火山岩相:类型、特征和储层意义[J].吉林大学学报:地球科学版,2003,33(4):449-456
[9]王璞?,刘万洙,程日辉,等.松辽盆地北部火山岩储层预测和评价[R].大庆:大庆油田有限责任公司勘探开发研究院,2003
[10]唐华风,王璞?,姜传金,等.波形分类方法在松辽盆地火山岩相识别中的应用[J].石油地球物理勘探,2007,42(4):440-444
[2]唐华风,王璞?,姜传金,等.松辽盆地白垩系营城组隐伏火山机构物理模型和地震识别[J].地球物理学进展,2007,22(2):530-536
[3]黄薇,印长海,刘晓,等.徐深气田芳深9区块火山岩储层预测方法[J].天然气工业,2006,26(6):14-18
[4]卲正奎,孟宪禄,王璞?.松辽盆地火山岩地震反射特征及其分布规律[J].长春科技大学学报,1999,29(1):33-36
[5]黄玉龙,王璞?,冯志强,等.松辽盆地改造残留的古火山机构与现代火山机构的类比分析[J].吉林大学学报:地球科学版,2007,37(1):65-72
[6]唐华风,王璞?,姜传金,等.松辽盆地火山岩相地震特征及其与控陷断裂的关系[J].吉林大学学报:地球科学版,2007,37(1):73-78
[7]王璞?,陈树民,刘万洙,等.松辽盆地火山岩相与火山岩储层的关系[J].石油与天然气地质,2003,24(1):18-27
[8]王璞?,迟元林,刘万洙,等.松辽盆地火山岩相:类型、特征和储层意义[J].吉林大学学报:地球科学版,2003,33(4):449-456
[9]王璞?,刘万洙,程日辉,等.松辽盆地北部火山岩储层预测和评价[R].大庆:大庆油田有限责任公司勘探开发研究院,2003
[10]唐华风,王璞?,姜传金,等.波形分类方法在松辽盆地火山岩相识别中的应用[J].石油地球物理勘探,2007,42(4):440-444
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