东方1-1构造底辟模糊区OBN资料关键处理技术及应用

doi:10.11720/wtyht.2023.0006

摘要
图/表
参考文献
相关文章
Metrics

全文: PDF(13508 KB) HTML
输出: BibTeX | EndNote (RIS)

摘要

东方1-1构造位于南海北部大陆架莺歌海盆地中央泥底辟构造带的北部。该区发现的东方1-1气田是莺歌海盆地发现的第一个整装浅层大气田。该区油气储量资源丰富,然而底辟模糊区成像一直是制约该区油气勘探的主要因素。原有的拖缆地震资料经过多轮次、多公司的重处理,依旧无法有效解决底辟模糊区成像问题。因此在该区进行二次三维OBN地震资料采集,针对该区地质条件以及OBN资料特点,本文提出OBN预处理、多分量联合横波噪声压制、小波域双检合并以及全波形反演(full waveform inversion,FWI)、高精度速度反演等多项关键处理技术,对改善浅层断裂结构及中深层底辟模糊区成像卓有成效,为后续目标评价工作提供可靠的基础资料。

	服务

	把本文推荐给朋友
	加入引用管理器
	E-mail Alert
	RSS
	作者相关文章
	张敏
	邓盾
	李三福
	史文英
	张兴岩
	支玲

关键词 ：东方1-1构造, 底辟模糊区, OBN地震资料, 双检合并, FWI高精度速度建模

Abstract：

The Dongfang 1-1 structure is situated in the northern part of the central mud diapir tectonic belt of the Yinggehai Basin on the northern continental shelf of the South China Sea.The Dongfang 1-1 gas field is the first uncompartmentalized shallow gas field discovered in the Yinggehai Basin.Despite abundant oil and gas reserves in this region, the imaging of the diapir fuzzy zone has been a critical factor restricting oil and gas exploration in this region.The original streamer-based seismic data,through multiple rounds of multi-company reprocessing,still failed to effectively image the diapir fuzzy zone.Therefore,the second acquisition of three-dimensional ocean bottom node(OBN) seismic data was conducted in this region.According to the geological conditions and the characteristics of OBN data in this region,this study proposed several critical processing techniques,including OBN preprocessing,multi-component joint shear-wave noise suppression,wavelet-domain dual-sensor summation,and full-waveform-inversion(FWI) high-precision velocity modeling.These techniques effectively improved the imaging of shallow fault structures and middle and deep diapir fuzzy zones,thus providing reliable fundamental data for the subsequent target evaluation.

Key words： Dongfang 1-1 structure diapir fuzzy zone OBN seismic data dual-sensor summation FWI high-precision velocity modeling

收稿日期: 2023-03-03 修回日期: 2023-09-08 出版日期: 2023-12-20

P631.4

基金资助:中国海洋石油集团有限公司科技项目(CCL2020HNF0043B01)

作者简介: 张敏(1992-),男,汉族,工程师,主要从事海洋地震资料处理工作。Email:598518663@qq.com

引用本文:

张敏, 邓盾, 李三福, 史文英, 张兴岩, 支玲. 东方1-1构造底辟模糊区OBN资料关键处理技术及应用[J]. 物探与化探, 2023, 47(6): 1456-1466.
ZHANG Min, DENG Dun, LI San-Fu, SHI Wen-Ying, ZHANG Xing-Yan, ZHI Ling. Critical processing techniques for ocean bottom node data of the diapir fuzzy zone of the Dongfang 1-1 structure and their application. Geophysical and Geochemical Exploration, 2023, 47(6): 1456-1466.

链接本文:

https://www.wutanyuhuatan.com/CN/10.11720/wtyht.2023.0006 或 https://www.wutanyuhuatan.com/CN/Y2023/V47/I6/1456

Table 1 东方1-1构造二次三维OBN采集参数

Fig.1 节点二次定位质控
a—放缆前后节点定位位置差统计;b—直达波线性校正后

Fig.2 横波噪声特点分析及常规压制方法效果分析
a—z分量共检波点道集;b—z分量共炮点道集;c—十字排列示意;d—十字排列共检波点道集;e—横波噪声压制前共检波点道集;f—横波噪声压制后共检波点道集;g—横波噪声压制前共炮点道集;h—横波噪声压制后共炮点道集

Fig.3 预处理前后效果分析
a—预处理前直达波线性动校正;b—预处理后直达波线性动校正;c—预处理前叠加剖面;d—预处理后叠加剖面

Fig.4 横波噪声压制原理及预测出的噪声模型
a—远偏移距z分量与x分量左右对比;b—远偏移距x分量与y分量左右对比;c—近偏移距z分量与x分量左右对比;d—近偏移距z分量与y分量左右对比;e—z分量共检波点道集;f—采用本方法预测出的z分量横波噪声模型

Fig.5 横波压制效果分析
a—P分量叠加剖面;b—z分量横波噪声压制前叠加剖面;c—z分量常规方法横波噪声压制后叠加剖面;d—z分量本文方法横波噪声压制后叠加剖面;e—不同方法去噪前后频谱分析曲线;f—不同方法去噪前后信噪比分析曲线

Fig.6 双检合并示意

Fig.7 水陆检仪器响应效果分析
a—水检仪器响应;b—陆检仪器响应;c—水、陆检仪器响应相位谱;d—水检仪器响应频谱;e—陆检仪器响应频谱;f—匹配算子;g—仪器响应校正前水陆检左右对比;h—仪器响应校正后水陆检左右对比

Fig.8 小波域双检合并效果分析
a—双检合并前P分量叠加剖面;b—双检合并后一次波叠加剖面;c—双检合并后检波点鬼波叠加剖面;d—双检合并前P分量cdp道集;e—交叉鬼波化方法一次波cdp道集;f—本文方法一次波cdp道集

Fig.9 水陆检频谱及不同方法双检合并后频谱

Fig.10 FWI速度反演及高精度网格层析反演效果分析
a—初始速度模型;b—主频4.5 Hz折射波FWI;c—主频6 Hz折射波FWI;d—主频8 Hz折射波FWI;e—主频10 Hz折射波FWI;f—主频12 Hz折射波FWI;g—初始速度模型;h—最终速度模型

Fig.11 新老资料成像剖面效果分析
a—拖缆老资料叠前深度偏移成像剖面;b—OBN新资料叠前深度偏移成像剖面

Fig.12 新老资料成像剖面及方差体属性效果分析
a—拖缆老资料1 300 m方差体切片;b—OBN新资料1 300 m方差体切片

[1]	谢培勇. 海上浅层大气田——DF1-1气田[J]. 天然气工业, 1999, 19(1):43-46.
[1]	Xie P Y. Marine shallow giant gas field:DF1-1 gas field[J]. Natural Gas Industry, 1999, 19(1):43-46.
[2]	刘爱群, 范彩伟, 蔡军, 等. 高温高压盆地东方区黄流组三维压力建模技术[J]. 物探与化探, 2016, 40(2):423-428.
[2]	Liu A Q, Fan C W, Cai J, et al. The three-dimensional pressure modeling technology for Huangliu Formation of Dongfang area in the HTHP basin[J]. Geophysical and Geochemical Exploration, 2016, 40(2):423-428.
[3]	岳绍飞, 张辉, 王庆帅, 等. 莺歌海盆地东方A气田莺歌海组二段沉积新认识:海底扇浊积席状砂[J]. 海相油气地质, 2017, 22(4):11-18.
[3]	Yue S F, Zhang H, Wang Q S, et al. Turbidite sand:A new view on sedimentary facies of Pliocene Zhujiang member-2 in DF-A gas field,Yinggehai Basin[J]. Marine Origin Petroleum, 2017, 22(4):11-18.
[4]	刘铁树, 王俊兰. 莺歌海盆地演化及天然气分布[J]. 中国海上油气地质, 1994, 8(6):394-400.
[4]	Liu T S, Wang J L. Basin evolution and natural gas distribution in Yinggehai Basin[J]. China offshore Oil and Gas(Geology), 1994, 8(6):394-400.
[5]	于俊峰, 刘全稳, 王立锋, 等. 莺歌海盆地东方13气田气水分布模式[J]. 海相油气地质, 2020, 25(2):132-140.
[5]	Yu J F, Liu Q W, Wang L F, et al. Gas-water distribution models of Dongfang 13 gas field Yinggehai Basin[J]. Marine Origin Petroleum Geology, 2020, 25(2):132-140.
[6]	熊小峰, 徐新德, 甘军, 等. 莺歌海盆地中央底辟带天然气差异分布与运聚成藏特征莺歌海盆地东方13气田气水分布模式[J]. 海洋地质前沿, 2017, 33(7):24-31.
[6]	Xiong X F, Xu X D, Gan J, et al. Differentiated gas distribution,migration and accumulation in the central diapir belt of the Yinggehai basin[J]. Marine Geology Frontiers, 2017, 33(7):24-31.
[7]	李斌, 冯奇坤, 张异彪, 等. 海上OBC-OBN技术发展与关键问题[J]. 物探与化探, 2019, 43(6):1277-1284.
[7]	Li B, Feng Q K, Zhang Y B, et al. Summary of development and key issues of offshore OBC-OBN technology[J]. Geophysical and Geochemical Exploration, 2019, 43(6):1277-1284.
[8]	Rodriguez-Suarez C, Stewart R R, Margravé G F. Where does S-wave energy on OBC recordings come from?[C]// SEG Technical Program Expanded Abstracts 2000,Society of Exploration Geophysicists, 2000:1170-1173.
[9]	Paffenholz J, Shurtleff R, Hays D, et al. Shear wave noise on OBS V_z data part I evidence from field data[C]// Vienna:68^th EAGE Conference and Exhibition incorporating SPE EUROPEC 2006,European Association of Geoscientists & Engineers, 2006:625-630.
[10]	周家雄, 马光克, 隋波, 等. 基于Curvelet域多分量阈值控制的OBC垂直分量横波噪声压制方法[J]. 中国海上油气, 2020, 32(3):51-58.
[10]	Zhou J X, Ma G K, Sui B, et al. Shear wave noise suppression method on OBC vertical component based on multi-component threshold control in Curvelet domain[J]. China Offshore Oil and Gas, 2020, 32(3):51-58.
[11]	史文英, 方中于, 李列, 等. 海底电缆陆检噪音衰减方法及其在乌石地区的应用[J]. 世界地质, 2015, 34(2):516-523.
[11]	Shi W Y, Fang Z Y, Li L, et al. Geophone noise and attenuation of ocean bottom cable and its application in Wushi area[J]. Global Geology, 2015, 34(2):516-523.
[12]	范宝仓, 陈文贵, 王海昆, 等. 海底电缆Z分量横波噪音特征分析及衰减方法[J]. 中国海上油气, 2017, 29(3):31-39.
[12]	Fan B C, Chen W G, Wang H K, et al. Characteristic analysis and attenuation of OBC geophone Z component sheear wave noise[J]. China Offshore Oil and Gas, 2017, 29(3):31-39.
[13]	Yang X M, Wang Y C, et al. A processing workflow for ocean bottom cable dual-sensor acquisition data:A case of 3D seismic data in Bohai Bay[J]. Open Journal of Geology, 2019, 9(1):67-74. doi: 10.4236/ojg.2019.91006
[14]	Hugonnet P, Boelle J L, Herrmann P, et al. PZ Summation of 3D WAZ OBS Receiver Gathers[C]// Vienna:73^rd EAGE Conference and Exhibition incorporating SPE EUROPEC 2011,European Association of Geoscientists & Engineers, 2011:23-26.
[15]	Richard B, ea al. Hydrophone-Geophone deghosting of OBC data in the τ-p domain[J]. EAGE 60^th Conference & Exhibition Leipzig Germany, 1998, 4(2):208-209.
[16]	朱金强, 张明强, 焦叙明, 等. 海上宽方位地震资料多次波压制技术研究与应用[J]. 工程地球物理学报, 2022, 19(3):368-375.
[16]	Zhu J Q, Zhang M Q, Jiao X M, et al. Research and application of multiple suppression techniques for marine wide-azimuth data[J]. Chinese Journal of Engineering Geophysics, 2022, 19(3):368-375.
[17]	周滨, 龚旭东, 高梦晗, 等. 海底电缆交叉鬼波化双检合并技术改进及应用[J]. 中国海上油气, 2015, 27(1):49-52,67.
[17]	Zhou B, Gong X D, Gao M H, et al. An improvement of the dual-sensor summation technique for corss-ghosting from OBC and its application[J]. China Offshore Oil and Gas, 2015, 27(1):49-52,67.
[18]	苗永康. 叠前地震全波形反演实际应用的关键影响因素[J]. 物探与化探, 2016, 40(5):947-954.
[18]	Miao Y K. Key factors affecting the practical application of prestack seismic waveform inversion[J]. Geophysical and Geochemical Exploration, 2016, 40(5):947-954.
[19]	国运东. 基于组合震源编码的多尺度全波形反演方法[J]. 物探与化探, 2022, 46(3):729-736.
[19]	Guo Y D. Multi-scale full waveform inversion method using combined source encoding[J]. Geophysical and Geochemical Exploration, 2022, 46(3):729-736.
[20]	王庆, 张建中, 黄忠来. 时间域地震全波形反演方法进展[J]. 地球物理学进展, 2015, 30(6):2797-2806.
[20]	Wang Q, Zhang J Z, Huang Z L. Progress in the time-domain full waveform inversion[J]. Progress in Geophysics, 2015, 30(6):2797-2806.
[21]	周斯琛, 李振春, 张敏, 等. 基于截断牛顿法的频率域全波形反演方法[J]. 物探与化探, 2017, 41(1):147-152.
[21]	Zhou S C, Li Z C, Zhang M, et al. Full waveform inversion in frequency domain using the truncated Newton method[J]. Geophysical and Geochemical Exploration, 2017, 41(1):147-152.
[22]	李黎, 沈水荣, 吴意明, 等. 全波形反演与断控层析反演联合速度建模——以南海东部A油田为例[J]. 中国海上油气, 2020, 32(5):107-113.
[22]	Li L, Shen S R, Wu Y M, et al. Velocity modeling combining full waveform inversion with fault controlled tomographic inversion:A case study of A oilfield in the eastern South China Sea[J]. China Offshore Oil and Gas, 2020, 32(5):107-113.
[23]	王忠成, 周华伟, 童思友, 等. 深水海底节点二次定位方法[J]. 石油地球物理勘探, 2020, 55(2):242-247,227.
[23]	Wang Z C, Zhou H W, Tong S Y, et al. Secondary positioning of deep ocean bottom nodes[J]. Oil Geophysical Prospecting, 2020, 55(2):242-247,227.
[24]	邓元军, 杨志国, 张建峰, 等. 新的声波二次定位技术在海底电缆地震勘探的应用[J]. 地球物理学进展, 2013, 28(5):2718-2724.
[24]	Deng Y J, Yang Z G, Zhang J F, et al. A new acoustic secondary positioning in the OBC seismic prospecting[J]. Progress in Geophysics, 2013, 28(5):2718-2724.
[25]	胡雨, 谢凯, 阮宁君, 等. 基于三维曲波变换的弱信号恢复方法研究[J]. 计算机工程与应用, 2016, 52(18):199-202.
[25]	Hu Y, Xie K, Ruan N J, et al. Method of weak signal recovery based on 3D curvelet transform[J]. Computer Engineering and Applications, 2016, 52(18):199-202.
[26]	张之涵, 孙成禹, 姚永强, 等. 三维曲波变换在地震资料去噪处理中的应用研究[J]. 石油物探, 2014, 53(4):421-430. doi: 10.3969/j.issn.1000-1441.2014.04.007
[26]	Zhang Z H, Sun C Y, Yao Y Q, et al. Research on the application of 3D curvelet transform to seismic data denoising[J]. Geophysical Prospecting for Petroleum, 2014, 53(4):421-430. doi: 10.3969/j.issn.1000-1441.2014.04.007
[27]	曹静杰, 杨志权, 杨勇, 等. 一种基于曲波变换的自适应地震随机噪声消除方法[J]. 石油物探, 2018, 57(1):72-78,121. doi: 10.3969/j.issn.1000-1441.2018.01.010
[27]	Cao J J, Yang Z Q, Yang Y, et al. An adaptive seismic random noise elimination method based on Curvelet transform[J]. Geophysical Prospecting for Petroleum, 2018, 57(1):72-78,121. doi: 10.3969/j.issn.1000-1441.2018.01.010
[28]	汪金菊, 李青, 徐小红, 等. 基于分数阶小波域GSM模型的地震信号随机噪声压制方法[J]. 地球物理学报, 2018, 61(7):2989-2997. doi: 10.6038/cjg2018K0444
[28]	Wang J J, Li Q, Xu X H, et al. Random noise attenuation method of seismic signal based on the fractional order wavelet domain GSM model[J]. Chinese Journal of Geophysics, 2018, 61(7):2989-2997.
[29]	张健男, 但志伟, 孙雷鸣, 等. 全波形反演技术在深海地震成像中的研究及应用[J]. 海洋工程装备与技术, 2019, 6(s1):250-254.
[29]	Zhang J N, Dan Z W, Sun L M, et al. Research and application of full waveform inversion of the deep sea seismic imaging[J]. Ocean Engineering Equipment and Technology, 2019, 6(s1):250-254.

[1]	史全党, 孔令业, 吴超, 丁艳雪, 刘泽民, 于雪, 王江. 基于小波边缘分析与井—震联合建模的波阻抗反演技术在陆梁隆起带储层预测中的应用[J]. 物探与化探, 2023, 47(6): 1425-1432.
[2]	付宇, 艾寒冰, 姚振岸, 梅竹虚, 苏可嘉. 基于正余弦算法的瑞利波频散曲线反演[J]. 物探与化探, 2023, 47(6): 1467-1478.
[3]	薛野, 杨帆, 赵苏城, 蓝加达. 彭水地区残留向斜常压页岩气地震采集实践[J]. 物探与化探, 2023, 47(6): 1490-1499.
[4]	王康, 刘彩云, 熊杰, 王永昌, 胡焕发, 康佳帅. 基于全卷积残差收缩网络的地震波阻抗反演[J]. 物探与化探, 2023, 47(6): 1538-1546.
[5]	沈东义, 袁秋霞, 张洁, 李会弟. 多类型地震数据自动化处理成图软件的研究与实现[J]. 物探与化探, 2023, 47(6): 1555-1562.
[6]	吴玉. 基于可逆叠加变换的地滚波压制技术[J]. 物探与化探, 2023, 47(6): 1573-1579.
[7]	赵泽茜, 成丽芳, 范殿佐. 时变分频反褶积在提高薄砂体预测精度方面的应用[J]. 物探与化探, 2023, 47(6): 1588-1594.
[8]	陈人杰, 徐乐意, 刘灵, 朱焕, 易浩, 姜曼. 基于协克里金技术的陆相地层反演低频模型构建方法[J]. 物探与化探, 2023, 47(6): 1595-1601.
[9]	何胜, 王万平, 董高峰, 南秀加, 魏丰丰, 白勇勇. 等值反磁通瞬变电磁法在城市地质调查中的应用[J]. 物探与化探, 2023, 47(5): 1379-1386.
[10]	吴嵩, 宁晓斌, 杨庭伟, 姜洪亮, 卢超波, 苏煜堤. 基于神经网络的探地雷达数据去噪[J]. 物探与化探, 2023, 47(5): 1298-1306.
[11]	周慧, 孙成禹, 刘英昌, 蔡瑞乾. 基于DC-UNet卷积神经网络的强噪声压制方法[J]. 物探与化探, 2023, 47(5): 1288-1297.
[12]	李栋, 朱博华. 基于上覆地层频率约束的匹配追踪强反射层分离方法[J]. 物探与化探, 2023, 47(5): 1261-1272.
[13]	项诸宝, 张大洲, 朱德兵, 李明智, 熊章强. 不同骨料混凝土模型中瑞利波传播特性研究[J]. 物探与化探, 2023, 47(5): 1226-1235.
[14]	张利振, 孙成禹, 王志农, 李世中, 焦峻峰, 颜廷容. 面波信息约束的初至波走时层析反演方法[J]. 物探与化探, 2023, 47(5): 1198-1205.
[15]	黄彦庆. 川东北元坝地区致密砂岩多产状裂缝刻画[J]. 物探与化探, 2023, 47(5): 1189-1197.

Viewed

Full text

Abstract

Cited

Shared

Discussed