莺歌海盆地乐东区暗点型气藏形成原因及识别方法
|
摘要
随着南海西部勘探的不断深入,深层的隐蔽型油气藏越来越难以识别,尤其是隐蔽型暗点油气藏,暗点地震响应特征的局限性导致传统烃类检测技术方法遇到瓶颈.本文针对南海高温高压盆地特殊的地质环境,以乐东区中深层高温超压领域为研究靶点,从低速泥岩变化规律出发系统梳理了不同层段砂泥岩岩石物理特征,结合AVO变孔隙度正演模拟,明确乐东区中深层具备形成暗点型油气藏条件;由于暗点型油气藏评价难度大,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有利甜点储层的搜索,有效拓展了暗点型油气藏烃类检测方法,为莺歌海盆地中深层天然气勘探提供有效技术支撑.
Along with the exploration in the west of the South China Sea, the deep of subtle reservoirs are becoming more and more difficult to identify, especially dark spot reservoirs. The limitation of seismic response characteristics of dark spots leads to the bottleneck of traditional hydrocarbon detection methods. In view of the special geological environment of the high temperature and high pressure basin in the South China Sea, this paper focuses on the area of high temperature and overpressure in the middle and deep layer of Ledong area. Starting from low velocity mudstone, the physical characteristics of sandstone and mudstone in different strata are sorted out systematically. Combined with the forward modeling of AVO variation porosity, it is clear that the middle and deep layers in Ledong area have the condition of forming dark spot oil and gas reservoirs. Due to the difficulty of evaluating dark spot oil and gas reservoirs, Fstack attribute is proposed to effectively guide the search of dark spot reservoirs based on the polarity characteristics of prestack. This method can effectively expand the hydrocarbon detection of dark spot oil and gas reservoirs and provide effective technical support for the exploration of natural gas in the middle and deep layers of Yinggehai basin.
Along with the exploration in the west of the South China Sea, the deep of subtle reservoirs are becoming more and more difficult to identify, especially dark spot reservoirs. The limitation of seismic response characteristics of dark spots leads to the bottleneck of traditional hydrocarbon detection methods. In view of the special geological environment of the high temperature and high pressure basin in the South China Sea, this paper focuses on the area of high temperature and overpressure in the middle and deep layer of Ledong area. Starting from low velocity mudstone, the physical characteristics of sandstone and mudstone in different strata are sorted out systematically. Combined with the forward modeling of AVO variation porosity, it is clear that the middle and deep layers in Ledong area have the condition of forming dark spot oil and gas reservoirs. Due to the difficulty of evaluating dark spot oil and gas reservoirs, Fstack attribute is proposed to effectively guide the search of dark spot reservoirs based on the polarity characteristics of prestack. This method can effectively expand the hydrocarbon detection of dark spot oil and gas reservoirs and provide effective technical support for the exploration of natural gas in the middle and deep layers of Yinggehai basin.
引文
Castagna J P. 1996. Offset-Dependent Reflectivity: Theory and Practice of AVO Analysis [J]. Gcssepm Proceedings, 17(1): 59-72.
Castagna J P, Swan H W, Foster D J. 1998. Framework for AVO gradient and intercept interpretation [J]. Geophysics, 63(3): 948-956.
Gao Gang, Li Yuhai, Gui Zhixian, et al. 2015, Abstraction of frequency-dependent AVO attributes based on generalized S transform [J]. Lithologic Reservoirs (in Chinese), 27(4): 84-88+95.
Han Guangming, Zhou Jiaxiong, Pei Jianxiang, et al. 2012, Essence of diapir and its relationship with natural gas accumulation in Yinggehai Basin [J]. Lithologic Reservoirs (in Chinese), 24(5): 27-31.
Li Xuxuan. 2000. Seismic recognition techniques of shallow gas reservoirs in Yinggehai basin [J]. China Offshore Oil and Gas (in Chinese), 14(3): 193-199.
Liu Mingquan, Xiao Wei, Feng Quanxiong, et al. 2016. A new gas-bearing detection method for medium and deep channel sand reservoirs under high temperatures and high pressures in the Yinggehai Basin [J]. Natural Gas Industry (in Chinese), 36(6): 30-35.
Meng Xianjun, Liu Fuping, Wang Yumei, et al. 2010. The phase angle change for seismic reflection coefficient [J]. OIL GEOPHYSICAL PROSPECTING (in Chinese), 45(S1): 121-124.
Pan Renfang, Chen Silu, Zhang Liping, et al. 2013. Semi-quantitative analysis of gas bearing sand by AVO forward modeling [J]. OIL GEOPHYSICAL PROSPECTING (in Chinese), 48 (1): 103-108.
Pei Jianxiang, Pan Guangchao, Zhu Peiyuan, et al. 2016. Identification of low velocity mudstone in the mid-deep overpressure zone, Yinggehai Basin [J]. OIL GEOPHYSICAL PROSPECTING (in Chinese), 51(2): 361-370.
Pei Jianxiang, Yu Junfeng, Wang Lifeng, et al. 2011. Key challenges and strategies for the success of natural gas exploration in mid-deep strata of the Yinggehai Basin [J]. ACTA PETROLEI SINICA (in Chinese), 32(4): 573-579.
Smith G C, Gidlow P M. 1987. Weighted stacking for rock property estimation and detection of gas [J]. Geophysical procspecting, 35(9): 993-1014.
Wang Daxing, Yu Bo, Gao Junmei. 2001. AVO analysis for gas-reservoir with high-impedance sand [J]. OIL GEOPHYSICAL PROSPECTING, 36(3): 301-307.
Wang Xiujiao, Huang Jiaqiang, Jiang Ren, et al. 2017. AVO response of different types of gas-bearing sandstone and error analysis of approximate formulas [J]. Lithologic Reservoirs (in Chinese), 29(5): 120-126.
Wang xueJin. 1989. Lithology inversion using the polarity reversal of AVO curve [J]. OIL GEOPHYSICAL PROSPECTING (in Chinese), 24(6): 682-685.
Wang Zhenfeng, Pei Jianxiang, Hao Defeng, et al. 2015. 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(in Chinese),27(4):13-21.
Xie Yuhong, Zhang Yingzhao, Xu Xinde, et al. 2014. Natural gas origin and accumulation model in major and excellent gas fields with high temperature and overpressure in Yinggehai basin: a case of DF13-2 gasfield[J].China Offshore Oil and Gas(in Chinese),26(2):1-5.
Zhang Jianxin, Dang Yayun, He Xiaohu, et al. 2015. Origin and sedimentary characteristics of canyon channels in LD area of Yinggehai basin [J]. Marine Geology & Quaternary Geology (in Chinese), 35(5): 29-36.
高刚, 李玉海, 桂志先, 等. 2015. 基于广义S变换频散AVO属性提取方法研究[J]. 岩性油气藏, 27(4): 84-88+95.
韩光明, 周家雄, 裴健翔, 等. 2012. 莺歌海盆地底辟本质及其与天然气成藏关系[J]. 岩性油气藏, 24(5): 27-31.
李绪宣. 2000. 莺歌海盆地浅层气藏的地震识别技术研究[J]. 中国海上油气, 14(3): 193-199.
刘明全, 肖为, 冯全雄, 等. 2016. 莺歌海盆地中深层高温高压河道砂岩储层含气性检测新方法[J]. 天然气工业, 36(6): 30-35.
孟宪军, 刘福平, 王玉梅, 等. 2010. 地震反射系数的相角变化[J]. 石油地球物理勘探, 45(S1): 121-124.
潘仁芳, 陈思路, 张利萍, 等. 2013. 含气砂岩AVO正演的半定量分析[J]. 石油地球物理勘探, 48(1): 103-108.
裴健翔, 潘光超, 朱沛苑, 等. 2016. 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, 51(2): 361-370.
裴健翔, 于俊峰, 王立锋, 等. 2011. 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, 32(4): 573-579.
王秀姣, 黄家强, 姜仁, 等. 2017. 不同含气砂岩的AVO响应类型及其近似式误差分析[J]. 岩性油气藏, 29(5): 120-126.
王雪金. 1989. 利用AVO曲线极性反转反演岩性[J]. 石油地球物理勘探, 24(6): 682-685.
王振峰, 裴健翔, 郝德峰, 等. 2015. 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, 27(4): 13-21.
谢玉洪, 张迎朝, 徐新德, 等. 2014. 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, 26(2): 1-5.
张建新, 党亚云, 何小胡, 等. 2015. 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, 35(5): 29-36.
Castagna J P, Swan H W, Foster D J. 1998. Framework for AVO gradient and intercept interpretation [J]. Geophysics, 63(3): 948-956.
Gao Gang, Li Yuhai, Gui Zhixian, et al. 2015, Abstraction of frequency-dependent AVO attributes based on generalized S transform [J]. Lithologic Reservoirs (in Chinese), 27(4): 84-88+95.
Han Guangming, Zhou Jiaxiong, Pei Jianxiang, et al. 2012, Essence of diapir and its relationship with natural gas accumulation in Yinggehai Basin [J]. Lithologic Reservoirs (in Chinese), 24(5): 27-31.
Li Xuxuan. 2000. Seismic recognition techniques of shallow gas reservoirs in Yinggehai basin [J]. China Offshore Oil and Gas (in Chinese), 14(3): 193-199.
Liu Mingquan, Xiao Wei, Feng Quanxiong, et al. 2016. A new gas-bearing detection method for medium and deep channel sand reservoirs under high temperatures and high pressures in the Yinggehai Basin [J]. Natural Gas Industry (in Chinese), 36(6): 30-35.
Meng Xianjun, Liu Fuping, Wang Yumei, et al. 2010. The phase angle change for seismic reflection coefficient [J]. OIL GEOPHYSICAL PROSPECTING (in Chinese), 45(S1): 121-124.
Pan Renfang, Chen Silu, Zhang Liping, et al. 2013. Semi-quantitative analysis of gas bearing sand by AVO forward modeling [J]. OIL GEOPHYSICAL PROSPECTING (in Chinese), 48 (1): 103-108.
Pei Jianxiang, Pan Guangchao, Zhu Peiyuan, et al. 2016. Identification of low velocity mudstone in the mid-deep overpressure zone, Yinggehai Basin [J]. OIL GEOPHYSICAL PROSPECTING (in Chinese), 51(2): 361-370.
Pei Jianxiang, Yu Junfeng, Wang Lifeng, et al. 2011. Key challenges and strategies for the success of natural gas exploration in mid-deep strata of the Yinggehai Basin [J]. ACTA PETROLEI SINICA (in Chinese), 32(4): 573-579.
Smith G C, Gidlow P M. 1987. Weighted stacking for rock property estimation and detection of gas [J]. Geophysical procspecting, 35(9): 993-1014.
Wang Daxing, Yu Bo, Gao Junmei. 2001. AVO analysis for gas-reservoir with high-impedance sand [J]. OIL GEOPHYSICAL PROSPECTING, 36(3): 301-307.
Wang Xiujiao, Huang Jiaqiang, Jiang Ren, et al. 2017. AVO response of different types of gas-bearing sandstone and error analysis of approximate formulas [J]. Lithologic Reservoirs (in Chinese), 29(5): 120-126.
Wang xueJin. 1989. Lithology inversion using the polarity reversal of AVO curve [J]. OIL GEOPHYSICAL PROSPECTING (in Chinese), 24(6): 682-685.
Wang Zhenfeng, Pei Jianxiang, Hao Defeng, et al. 2015. 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(in Chinese),27(4):13-21.
Xie Yuhong, Zhang Yingzhao, Xu Xinde, et al. 2014. Natural gas origin and accumulation model in major and excellent gas fields with high temperature and overpressure in Yinggehai basin: a case of DF13-2 gasfield[J].China Offshore Oil and Gas(in Chinese),26(2):1-5.
Zhang Jianxin, Dang Yayun, He Xiaohu, et al. 2015. Origin and sedimentary characteristics of canyon channels in LD area of Yinggehai basin [J]. Marine Geology & Quaternary Geology (in Chinese), 35(5): 29-36.
高刚, 李玉海, 桂志先, 等. 2015. 基于广义S变换频散AVO属性提取方法研究[J]. 岩性油气藏, 27(4): 84-88+95.
韩光明, 周家雄, 裴健翔, 等. 2012. 莺歌海盆地底辟本质及其与天然气成藏关系[J]. 岩性油气藏, 24(5): 27-31.
李绪宣. 2000. 莺歌海盆地浅层气藏的地震识别技术研究[J]. 中国海上油气, 14(3): 193-199.
刘明全, 肖为, 冯全雄, 等. 2016. 莺歌海盆地中深层高温高压河道砂岩储层含气性检测新方法[J]. 天然气工业, 36(6): 30-35.
孟宪军, 刘福平, 王玉梅, 等. 2010. 地震反射系数的相角变化[J]. 石油地球物理勘探, 45(S1): 121-124.
潘仁芳, 陈思路, 张利萍, 等. 2013. 含气砂岩AVO正演的半定量分析[J]. 石油地球物理勘探, 48(1): 103-108.
裴健翔, 潘光超, 朱沛苑, 等. 2016. 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, 51(2): 361-370.
裴健翔, 于俊峰, 王立锋, 等. 2011. 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, 32(4): 573-579.
王秀姣, 黄家强, 姜仁, 等. 2017. 不同含气砂岩的AVO响应类型及其近似式误差分析[J]. 岩性油气藏, 29(5): 120-126.
王雪金. 1989. 利用AVO曲线极性反转反演岩性[J]. 石油地球物理勘探, 24(6): 682-685.
王振峰, 裴健翔, 郝德峰, 等. 2015. 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, 27(4): 13-21.
谢玉洪, 张迎朝, 徐新德, 等. 2014. 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, 26(2): 1-5.
张建新, 党亚云, 何小胡, 等. 2015. 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, 35(5): 29-36.