[1]刘志敏.FCZ地区滩坝砂储层表征技术[J].复杂油气藏,2022,15(02):17-24.[doi:10.16181/j.cnki.fzyqc.2022.02.004]
 LIU Zhimin.Characterization technology of beach-bar sand reservoirs in FCZ area[J].Complex Hydrocarbon Reservoirs,2022,15(02):17-24.[doi:10.16181/j.cnki.fzyqc.2022.02.004]
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FCZ地区滩坝砂储层表征技术()
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《复杂油气藏》[ISSN:1674-4667/CN:31-2019/TQ]

卷:
15卷
期数:
2022年02期
页码:
17-24
栏目:
油气勘探
出版日期:
2022-06-25

文章信息/Info

Title:
Characterization technology of beach-bar sand reservoirs in FCZ area
作者:
刘志敏
中国石化江苏油田分公司勘探开发研究院,扬州 225009
Author(s):
LIU Zhimin
Exploration and Development Research Institute of Jiangsu Oilfield Company,SINOPEC,Yangzhou 225009,China
关键词:
隐蔽油藏砂层组深度学习地震属性融合联合反演
Keywords:
subtle oil reservoirsand groupdeep learningseismic attribute fusionjoint inversion
分类号:
P631
DOI:
10.16181/j.cnki.fzyqc.2022.02.004
文献标志码:
A
摘要:
FCZ地区阜三段(E1 f3)为三角洲前缘—滨浅湖沉积体系,主要发育滩坝型砂体,单层薄且横向变化快,导致滩坝砂体预测难度大,制约了滩坝型隐蔽油气藏勘探进度。通过细分砂层组开展沉积特征研究;利用近似古地貌恢复技术,明确特殊地质体有利发育区;综合运用频谱延拓与导向滤波处理技术,提升地震资料分辨率。基于地震属性深度学习与质控,优化砂体定性描述技术,融合敏感属性表征两套反射砂层组的平面展布特征。综合运用波形结构差异性与曲线重构声波阻抗开展联合反演,预测两套反射砂层组厚度。综合构造背景、油源输导、侧向封挡等条件,优选圈闭并提交有利目标,指导实际生产工作。
Abstract:
The third member of the Funing Formation (E1 f3) in the FCZ area belongs to a delta front-shore shallow lake sedimentary system,and mainly develops beach-bar type sand bodies. However,thin reservoir thickness and fast lateral change make beach-bar sand bodies prediction difficult and restrict the exploration progress of beach-bar type hidden oil and gas reservoirs. Research on sedimentary characteristics was carried out by subdividing sand layers;favorable development areas for special geological bodies were identified by using approximate paleogeomorphological restoration technology. Interpretive processing technologies such as spectrum extension,steering filtering,and igneous rock de-intensity were comprehensively used to improve the resolution of seismic data. Based on deep learning and quality control of seismic attributes,the qualitative description technology of sand bodies was optimized,and the plane distribution characteristics of two sets of reflective sand groups were characterized by integrating sensitive attributes. The waveform structure differences and curve-reconstructed acoustic impedance were combined to carry out a joint inversion to predict the thickness of the two sets of reflective sand formations. Based on the structural background,oil source transportation,lateral sealing,and other conditions,the traps were optimized,and favorable targets were submitted to guide the actual production work.

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备注/Memo

备注/Memo:
收稿日期:2022-02-19;改回日期:2022-05-11。
作者简介:刘志敏(1990—),助理研究员,主要从事地球物理构造解释与储层预测工作。 E-mail:liuzhimin.jsyt@sinopec.com。
基金项目:中国石化集团公司科技攻关项目“苏北盆地阜宁组岩性油藏成藏条件与目标评价”(P20060)。
更新日期/Last Update: 2022-06-25