叠前地震多属性反演在南堡油田火成岩研究中的应用
|
摘要
南堡油田中、浅层火成岩发育,分布特征复杂,岩相、厚度变化快,影响了油气成藏规模,同时也制约了对油藏的整体认识。钻井揭示,火成岩以玄武岩和凝灰岩为主。在地震剖面上,玄武岩与馆陶组底界砂砾岩的特征接近;在常规波阻抗反演剖面上,凝灰岩与沉积岩的波阻抗值范围相近。为此,首先通过测井数据综合分析,利用录井岩性与测井敏感曲线构建出能反映岩性差异的伪岩性曲线;然后利用叠前AVO处理,得到梯度(G)、截距(P)和泊松比(σ)等属性数据体,并提取了振幅、频率、相位等多种地震属性;最后以伪岩性曲线为目标曲线,优选敏感性高的一组地震属性作为反演参数,利用概率神经网络反演技术对南堡油田火成岩进行了识别和描述,结果与地质认识基本相符。
Igneous rock develops in shallow and middle layers in Nanpu oilfield.The igneous rock is characterized by complex distribution and fast alternation of lithofacies and thickness,which affects the hydrocarbon accumulation scale and its recognition as a whole. Drilling formation indicates that the igneous rock is mainly of basalt and tuff.On seismic profiles, the characteristics of basalt are simi- lar to that of glutinite at the bottom of Guantao formation.In con- ventional wave impedance inversion profile,the impedance value of tuff is similar to that of sedimentary rock.Therefore,the integrat- ed analysis of logging data was carried out firstly and the pseudo-li- thology curve was established through logging lithology and sensi- tive curve,which can reflect the difference of lithology.Then,the pre-stack AVO processing was used to obtain attribute data vol- ume,including gradient(G),intercept(P).and Poisson ratio(σ) to extract seismic attributes including amplitude,frequency and phase.Finally,taking the pseudo-lithology curve as the target one,the seismic attributes with high sensitivity was optimized as inversion parameters,PNN inversion technology based on neural network was used to identify and describe the igneous rock in Nan- pu oilfield.The result coincides with the geological recognitions.
Igneous rock develops in shallow and middle layers in Nanpu oilfield.The igneous rock is characterized by complex distribution and fast alternation of lithofacies and thickness,which affects the hydrocarbon accumulation scale and its recognition as a whole. Drilling formation indicates that the igneous rock is mainly of basalt and tuff.On seismic profiles, the characteristics of basalt are simi- lar to that of glutinite at the bottom of Guantao formation.In con- ventional wave impedance inversion profile,the impedance value of tuff is similar to that of sedimentary rock.Therefore,the integrat- ed analysis of logging data was carried out firstly and the pseudo-li- thology curve was established through logging lithology and sensi- tive curve,which can reflect the difference of lithology.Then,the pre-stack AVO processing was used to obtain attribute data vol- ume,including gradient(G),intercept(P).and Poisson ratio(σ) to extract seismic attributes including amplitude,frequency and phase.Finally,taking the pseudo-lithology curve as the target one,the seismic attributes with high sensitivity was optimized as inversion parameters,PNN inversion technology based on neural network was used to identify and describe the igneous rock in Nan- pu oilfield.The result coincides with the geological recognitions.
引文
1周海民，谢占安，董月霞，等．断陷盆地精细地震勘探实践[M]．北京：石油工业出版社，2007．278～292
2许风光，邓少贵，范宜仁，等．火成岩储层测井评价进展综述[J]．勘探地球物理进展，2006，29(4)：239～243
3邓玉胜，王蕴，朱桂生，等．松辽盆地南部长岭断陷火成岩特征及其对油气藏的控制[J]．中国石油勘探，2003，8(3)：31～37
4冯翠菊，王敬岩，冯庆付．利用测井资料识别火成岩岩性的方法[J]．大庆石油学院学报，2004，28(4)：9～11
5王玉学，韩大匡，刘文玲，等．相干体技术在火山岩预测中的应用[J]．石油物探，2006，45(2)：192～195
6王炳章，徐雷鸣，王世星．塔中围斜碎屑岩储层火成岩侵入体预测[J]．石油物探，2006，45(6)：602～606
7丁秀春．测井响应在火成岩储层研究中的应用[J]．特种油气藏，2003，10(1)：69～72
8 Shuey R T.A simplification of the Zoeppritz equations [J].Geophysics,1985,50(4):609～614
9崔凤林，勾永峰，蔡朝辉．用于火成岩预测的地震属性提取及有效性分析方法研究[J]．石油物探，2005，44 (6)：598～600
10冉启全，周雪峰，胡永乐，等．基于神经网络的多属性火成岩岩性反演技术[J]．西安石油学院学报，2006，28 (1)：5～17
11邹长春，严成信，李学文．神经网络在枣北地区火成岩储层测井解释中的应用[J]．石油地球物理勘探，1997，32(增刊2)：27～33
12张延玲，杨长春，贾曙光．地震属性技术的研究和应用[J]．地球物理学进展，2005，20(4)：1129～1133
2许风光，邓少贵，范宜仁，等．火成岩储层测井评价进展综述[J]．勘探地球物理进展，2006，29(4)：239～243
3邓玉胜，王蕴，朱桂生，等．松辽盆地南部长岭断陷火成岩特征及其对油气藏的控制[J]．中国石油勘探，2003，8(3)：31～37
4冯翠菊，王敬岩，冯庆付．利用测井资料识别火成岩岩性的方法[J]．大庆石油学院学报，2004，28(4)：9～11
5王玉学，韩大匡，刘文玲，等．相干体技术在火山岩预测中的应用[J]．石油物探，2006，45(2)：192～195
6王炳章，徐雷鸣，王世星．塔中围斜碎屑岩储层火成岩侵入体预测[J]．石油物探，2006，45(6)：602～606
7丁秀春．测井响应在火成岩储层研究中的应用[J]．特种油气藏，2003，10(1)：69～72
8 Shuey R T.A simplification of the Zoeppritz equations [J].Geophysics,1985,50(4):609～614
9崔凤林，勾永峰，蔡朝辉．用于火成岩预测的地震属性提取及有效性分析方法研究[J]．石油物探，2005，44 (6)：598～600
10冉启全，周雪峰，胡永乐，等．基于神经网络的多属性火成岩岩性反演技术[J]．西安石油学院学报，2006，28 (1)：5～17
11邹长春，严成信，李学文．神经网络在枣北地区火成岩储层测井解释中的应用[J]．石油地球物理勘探，1997，32(增刊2)：27～33
12张延玲，杨长春，贾曙光．地震属性技术的研究和应用[J]．地球物理学进展，2005，20(4)：1129～1133
版权所有：© 2023 中国地质图书馆 中国地质调查局地学文献中心