摘要
准噶尔盆地腹部石南62井区成藏条件良好,多井、多层系已获重大油气发现,但该区油藏类型多样、成藏模式复杂,需依托高品质地震资料并利用创新解释技术精准预测油藏和落实圈闭。基于2016年采集的"两宽一高"地震资料,运用GeoEast解释系统拥有的特色断裂识别技术和多信息融合解释技术精细刻画区内微小断裂;运用GeoStrata层序地层解释技术划分目标层段地层层序并疏理生储盖组合关系;运用特征曲线储层反演技术有效识别砂岩分布范围。以上特色解释技术的应用充分发挥了"两宽一高"地震资料的优势,解决了研究区的地质难点,为该区目标的识别与评价提供了有力依据。
Although the Well SN62 Area located in the hinterland of Junggar Basin has favorable accumulation conditions with discoveries in multi-beds,reservoir prediction remains a difficult task due to various reservoir types and complex accumulation models. To salve the problem, a broadband, wideazimuth,and high-density(BWH) 3 D seismic survey was carried out in 2016. After the data processing, we conduct reservoir identification with special interpretation tools provided by GeoEast. Minor fault characteristics are depicted with multi-attribute fusion. Sequence stratigraphic divisions and source reservoir cap assemblages are clarified with GeoStrata. The sand distribution is identified with the characteristic curve inversion. With the advantages of BWH 3 D seismic data, our interpretation approach solves geological difficulties, which provides favorable targets for the future hydrocarbon exploration deployment.
出处
《石油地球物理勘探》
EI
CSCD
北大核心
2017年第A01期84-91,共8页
Oil Geophysical Prospecting
基金
国家重大科技专项"岩性地层油气藏成藏规律
关键技术及目标评价"(2017ZX05001)的课题"准噶尔盆地岩性地层油气藏分布规律与目标评价"
中国石油与天然气股份公司重大科技专项"新疆和吐哈油田勘探开发关键技术研究与应用"(2017E-0411)的课题"宽频高密度地震勘探关键技术研究与应用"联合资助
关键词
GeoEast解释系统
微小断裂识别
层序地层解释
神经网络反演
准噶尔盆地腹部
两宽一高
GeoEast interpretation sub-system
minor fault identification
sequence stratigraphic interpretation
neural network inversion
hinterland of Junggar Basin
broadband
wide-azimuth
and high-density(BWH) 3D seismic