莺歌海盆地乐东区深层暗点型目标敏感属性优化方法
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摘要
随着莺歌海盆地乐东区勘探的不断深入,深层暗点型岩性油气藏越来越难以识别。以乐东区高温高压领域为研究靶点,从低速泥岩变化规律出发,证实乐东区具备发育暗点储层的基本条件;结合已钻井暗点目标流体替换,建立不同泥岩速度、不同孔隙度下AVO响应特征量版,明确低速泥岩背景下暗点目标为储集物性较好的砂岩储层;由于暗点目标在叠后地震资料评价难度大,借助其叠前道集的极性反转特征,提出新的衍生Fstack属性有效指导目标靶区暗点目标的搜索,并通过已钻井证实该技术方法的有效性,从一定程度上拓展Ⅱ类AVO的雕刻方法,进而为乐东区深层油气勘探及钻探目标优选提供了重要指导。
With the deepening of exploration in Ledong area,it is more and more difficult to identify deep dim spot lithologic reservoirs.This paper takes the high temperature and high pressure field of Ledong area as the research target,starting from the change law of low velocity mudstone,proves that the Ledong area has the basic condition of developing dim spot reservoir.Combined with the fluid replacement of the target in the dim spot,the characteristic version of AVO response under different mudstone velocities and different porosity is established,and the potential favorable target with better physical properties is identified as the dim spot target in the background of low-velocity mudstone.Because it is difficult to evaluate dim spot targets only by post-stack seismic data,a new Fstack attribute is proposed to effectively guide the target search by using the polarity inversion feature of pre-stack seismic gather,and the effectiveness of this technique has been proved by drilling.The carving method of Ⅱ AVO has been extended to a certain extent,which provides important guidance for deep oil and gas exploration and drilling target selection in Ledong area.
With the deepening of exploration in Ledong area,it is more and more difficult to identify deep dim spot lithologic reservoirs.This paper takes the high temperature and high pressure field of Ledong area as the research target,starting from the change law of low velocity mudstone,proves that the Ledong area has the basic condition of developing dim spot reservoir.Combined with the fluid replacement of the target in the dim spot,the characteristic version of AVO response under different mudstone velocities and different porosity is established,and the potential favorable target with better physical properties is identified as the dim spot target in the background of low-velocity mudstone.Because it is difficult to evaluate dim spot targets only by post-stack seismic data,a new Fstack attribute is proposed to effectively guide the target search by using the polarity inversion feature of pre-stack seismic gather,and the effectiveness of this technique has been proved by drilling.The carving method of Ⅱ AVO has been extended to a certain extent,which provides important guidance for deep oil and gas exploration and drilling target selection in Ledong area.
引文
[1]He Jiaxiong,Zhang Wei,Lu Zhenquan,et al.Petroleum system and favorable exploration directions of the main marginal basins in the northern South China Sea[J].Natural Gas Geoscience,2016,27(6):943-959.何家雄,张伟,卢振权,等.南海北部大陆边缘主要盆地含油气系统及油气有利勘探方向[J].天然气地球科学,2016,27(6):943-959.
[2]Guo Xiaoxiao,Xu Xinde,Xiong Xiaofeng,et al.Gas accumulation characteristics and favorable exploration directions in mid-deep strata of the Yinggehai Basin[J].Natural Gas Geoscience,2017,28(12):1864-1872.郭潇潇,徐新德,熊小峰,等.莺歌海盆地中深层天然气成藏特征与有利勘探领域[J].天然气地球科学,2017,28(12):1864-1872.
[3]Xie Yuhong,Zhang Yingzhao,Xu Xinde,et al.Natural gas origin and accumulation model in major and excellent gas fields with high temperature and overpressure in Yinggehai Basin:A case of DF13-2Gasfield[J].China Offshore Oil and Gas,2014,26(2):1-5.谢玉洪,张迎朝,徐新德,等.莺歌海盆地高温超压大型优质气田天然气成因与成藏模式---以东方13-2优质整装大气田为例[J].中国海上油气,2014,26(2):1-5.
[4]Li Xuxuan.Seismic recognition techniques of shallow gas reservoirs in Yinggehai Basin[J].China Offshore Oil and Gas,2000,14(3):193-199.李绪宣.莺歌海盆地浅层天然气藏的地震识别技术研究[J].中国海上油气,2000,14(3):193-199.
[5]Pei Jianxiang,Yu Junfeng,Wang Lifeng,et al.Key challenges and strategies for the success of natural gas exploration in mid-deep strata of the Yinggehai Basin[J].Acta Petrolei Sinica,2011,32(4):573-579.裴健翔,于俊峰,王立锋,等.莺歌海盆地中深层天然气勘探的关键问题及对策[J].石油学报,2011,32(4):573-579.
[6]Ostrander W J.Plane-wave reflection coefficients for gas sands at non-normal angles of incidence[J].Geophysics,1984,49(10):1637-1648.
[7]Smith G C,Gidlow P M.Weighted stacking for rock property estimation and detection of gas[J].Geophysical Prospecting,1987,39(2):915-942.
[8]Fatti J,Smith G,Vail P,et al.Detection of gas in sandstone reservoirs using AVO analysis:A3-D seismic case history using the geostack technique[J].Geophysics,1994,59(9):1362-1376.
[9]Quakenbush M,Shang B,Tuttle C.Poisson impedance[J].The Leading Edge,2006,25(2):128-138.
[10]Zhang Jianxin,Dang Yayun,He Xiaohu,et al.Origin and sedimentary characteristics of canyon channels in LD area of Yinggehai Basin[J].Marine Geology&Quaternary Geology,2015,35(5):29-36.张建新,党亚云,何小胡,等.莺歌海盆地乐东区峡谷水道成因及沉积特征[J].海洋地质与第四纪地质,2015,35(5):29-36.
[11]Wang Zhenfeng,Pei Jianxiang,Hao Defeng,et al.Development conditions,sedimentary characteristics of Miocene large gravity flow reservoirs and the favorable gas exploration directions in Ying-Qiong Basin[J].China Offshore Oil and Gas,2015,27(4):13-21.王振峰,裴健翔,郝德峰,等.莺-琼盆地中新统大型重力流储集体发育条件、沉积特征及天然气勘探有利方向[J].中国海上油气,2015,27(4):13-21.
[12]Pei Jianxiang,Pan Guangchao,Zhu Peiyuan,et al.Identification of low velocity mudstone in the mid-deep overpressure zone,Yinggehai Basin[J].Oil Geophysical Prospecting,2016,51(2):361-370.裴健翔,潘光超,朱沛苑,等.莺歌海盆地超压带低速泥岩陷阱的甄别及对勘探的启示[J].石油地球物理勘探,2016,51(2):361-370.
[13]Pan Renfang,Chen Silu,Zhang Liping,et al.Semi-quantitative analysis of gas bearing sand by AVO forward modeling[J].Oil Geophysical Prospecting,2013,48(1):103-108.潘仁芳,陈思路,张利萍,等.含气砂岩AVO正演的半定量分析[J].石油地球物理勘探,2013,48(1):103-108.
[14]Rutherford S R,Williams R H.Amplitude-versus-offset variations in gas sands[J].Geophysics,1989,54(6):680-688.
[2]Guo Xiaoxiao,Xu Xinde,Xiong Xiaofeng,et al.Gas accumulation characteristics and favorable exploration directions in mid-deep strata of the Yinggehai Basin[J].Natural Gas Geoscience,2017,28(12):1864-1872.郭潇潇,徐新德,熊小峰,等.莺歌海盆地中深层天然气成藏特征与有利勘探领域[J].天然气地球科学,2017,28(12):1864-1872.
[3]Xie Yuhong,Zhang Yingzhao,Xu Xinde,et al.Natural gas origin and accumulation model in major and excellent gas fields with high temperature and overpressure in Yinggehai Basin:A case of DF13-2Gasfield[J].China Offshore Oil and Gas,2014,26(2):1-5.谢玉洪,张迎朝,徐新德,等.莺歌海盆地高温超压大型优质气田天然气成因与成藏模式---以东方13-2优质整装大气田为例[J].中国海上油气,2014,26(2):1-5.
[4]Li Xuxuan.Seismic recognition techniques of shallow gas reservoirs in Yinggehai Basin[J].China Offshore Oil and Gas,2000,14(3):193-199.李绪宣.莺歌海盆地浅层天然气藏的地震识别技术研究[J].中国海上油气,2000,14(3):193-199.
[5]Pei Jianxiang,Yu Junfeng,Wang Lifeng,et al.Key challenges and strategies for the success of natural gas exploration in mid-deep strata of the Yinggehai Basin[J].Acta Petrolei Sinica,2011,32(4):573-579.裴健翔,于俊峰,王立锋,等.莺歌海盆地中深层天然气勘探的关键问题及对策[J].石油学报,2011,32(4):573-579.
[6]Ostrander W J.Plane-wave reflection coefficients for gas sands at non-normal angles of incidence[J].Geophysics,1984,49(10):1637-1648.
[7]Smith G C,Gidlow P M.Weighted stacking for rock property estimation and detection of gas[J].Geophysical Prospecting,1987,39(2):915-942.
[8]Fatti J,Smith G,Vail P,et al.Detection of gas in sandstone reservoirs using AVO analysis:A3-D seismic case history using the geostack technique[J].Geophysics,1994,59(9):1362-1376.
[9]Quakenbush M,Shang B,Tuttle C.Poisson impedance[J].The Leading Edge,2006,25(2):128-138.
[10]Zhang Jianxin,Dang Yayun,He Xiaohu,et al.Origin and sedimentary characteristics of canyon channels in LD area of Yinggehai Basin[J].Marine Geology&Quaternary Geology,2015,35(5):29-36.张建新,党亚云,何小胡,等.莺歌海盆地乐东区峡谷水道成因及沉积特征[J].海洋地质与第四纪地质,2015,35(5):29-36.
[11]Wang Zhenfeng,Pei Jianxiang,Hao Defeng,et al.Development conditions,sedimentary characteristics of Miocene large gravity flow reservoirs and the favorable gas exploration directions in Ying-Qiong Basin[J].China Offshore Oil and Gas,2015,27(4):13-21.王振峰,裴健翔,郝德峰,等.莺-琼盆地中新统大型重力流储集体发育条件、沉积特征及天然气勘探有利方向[J].中国海上油气,2015,27(4):13-21.
[12]Pei Jianxiang,Pan Guangchao,Zhu Peiyuan,et al.Identification of low velocity mudstone in the mid-deep overpressure zone,Yinggehai Basin[J].Oil Geophysical Prospecting,2016,51(2):361-370.裴健翔,潘光超,朱沛苑,等.莺歌海盆地超压带低速泥岩陷阱的甄别及对勘探的启示[J].石油地球物理勘探,2016,51(2):361-370.
[13]Pan Renfang,Chen Silu,Zhang Liping,et al.Semi-quantitative analysis of gas bearing sand by AVO forward modeling[J].Oil Geophysical Prospecting,2013,48(1):103-108.潘仁芳,陈思路,张利萍,等.含气砂岩AVO正演的半定量分析[J].石油地球物理勘探,2013,48(1):103-108.
[14]Rutherford S R,Williams R H.Amplitude-versus-offset variations in gas sands[J].Geophysics,1989,54(6):680-688.