空间数据挖掘在海域天然气水合物资源评价中的应用
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摘要
海域天然气水合物早期勘探阶段多使用地震调查方法,利用BSR和速度异常等指标圈定水合物矿体进行资源评价、优选预测勘探目标。阐明了空间数据挖掘技术在天然气水合物早期勘探评价阶段的应用,并通过珠江口盆地东部海域多道地震速度分析中所获速度异常信息,应用核密度估计方法,定量地划分了2个天然气水合物有利分布区(面积分别为18km2和70km2),进而为后期天然气水合物试采生产提供了重要依据及基础数据。
In the early stage of gas hydrates exploration,seismic through identification of BSR and abnormal seismic velocity is the common method for resource potential assessment.In this article,we will introduce the method of spatial data mining into the evaluation of gas hydrates resource.Upon the kernel density estimation made for seismic velocity data,we quantitatively defined two potential gas hydrates provinces,which are 18 km2 and 70 km2 in areas respectively in the east of Pearl River Mouth Basin,the South China Sea.The results are proved significant for further investigation or production test of gas hydrates in this area.
In the early stage of gas hydrates exploration,seismic through identification of BSR and abnormal seismic velocity is the common method for resource potential assessment.In this article,we will introduce the method of spatial data mining into the evaluation of gas hydrates resource.Upon the kernel density estimation made for seismic velocity data,we quantitatively defined two potential gas hydrates provinces,which are 18 km2 and 70 km2 in areas respectively in the east of Pearl River Mouth Basin,the South China Sea.The results are proved significant for further investigation or production test of gas hydrates in this area.
引文
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[14]梁劲,王明君,陆敬安,等.南海北部神狐海域含天然气水合物沉积层的速度特征[J].天然气工业,2013,33(7):29-35.
[15] Crutchley G J,Maslen G,Pecher I A,et al.High-resolution seismic velocity analysis as a tool for exploring gas hydrate systems:An example from New Zealand’s southern Hikurangi margin[J].Interpretation,2016,4(1):SA1-SA12.
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[17] Gramacki A.Nonparametric Kernel Density Estimation and Its Computational Aspects[M].Switzerland:Springer International Publishing AG,2018:25-48.
[18] Zhang G X,Yang S X,Zhang M,et al.GMGS2Expedition investigates rick and complex gas hydrate environment in the South China Sea[J].Fire in the Ice,2014,14(1):1-5.
[2]尚久靖,吴庐山,梁金强,等.南海东北陆坡海底微地貌特征及其天然气渗漏模式[J].海洋地质前沿,2013,29(12):37-44.
[3]刘伯然,宋海斌,关永贤,等.南海东北部陆坡冷泉系统的浅地层剖面特征与分析[J].地球物理学报,2015,58(1):247-256.
[4]陈林,宋海斌.海底天然气渗漏的地球物理特征及识别方法[J].地球物理学进展,2005,20(4):1067-1073.
[5] Schnurle P,Liu C S,Hsiuan T H,et al.Characteristics of gas hydrate and free gas offshore Southwestern Taiwan from a combined MCS/OBS data analysis[J].Marine Geophysical Researches,2004,25(1/2):157-180.
[6]张光学,徐华宁,刘学伟,等.海底高频地震仪在南海北部天然气水合物探测中的应用[J].海洋地质与第四纪地质,2015,35(1):185-192.
[7] Weitemeyer K,Constable S,Key K.Marine EM techniques for gas-hydrate detection and hazard mitigation[J].Geophysics,2006,25(5):629-632.
[8] Weitemeyer K,Constable S.Mapping shallow geology and gas hydrate with marine CSEM surveys[J].First Break,2010,28(6):97-102.
[9] Haacke R R,Westbrook G K,Hyndman R D.Gas hydrate,fluid flow and free gas:Formation of the bottomsimulating reflector[J].Earth and Planetary Science Letters,2007,261(3/4):407-420.
[10] Chand S,Minshull T A,Gei D,et al.Elastic velocity models for gas-hydrate-bearing sediments—a comparison[J].Geophysical Journal International,2004,159(2):573-590.
[11] Hu G W,Ye Y G,Zhang J,et al.Acoustic properties of gas hydrate-bearing consolidated sediments and experimental testing of elastic velocity models[J].Journal of Geophysical Research:Solid Earth,2010,115(B2):102-113.
[12] He T,Spence G D,Wood W T,et al.Imaging a hydraterelated cold vent offshore Vancouver Island from deeptowed multichannel seismic data[J].Geophysics,2009,74(2):B23-B36.
[13] Hornbach M,Holbrook W,Gorman A,et al.Direct seismic detection of methane hydrate on the Blake Ridge[J].Geophysics,2003,68(1):92-100.
[14]梁劲,王明君,陆敬安,等.南海北部神狐海域含天然气水合物沉积层的速度特征[J].天然气工业,2013,33(7):29-35.
[15] Crutchley G J,Maslen G,Pecher I A,et al.High-resolution seismic velocity analysis as a tool for exploring gas hydrate systems:An example from New Zealand’s southern Hikurangi margin[J].Interpretation,2016,4(1):SA1-SA12.
[16]李德仁,王树良,李德毅.空间数据挖掘理论与应用[M].北京:科学出版社,2013:15-17.
[17] Gramacki A.Nonparametric Kernel Density Estimation and Its Computational Aspects[M].Switzerland:Springer International Publishing AG,2018:25-48.
[18] Zhang G X,Yang S X,Zhang M,et al.GMGS2Expedition investigates rick and complex gas hydrate environment in the South China Sea[J].Fire in the Ice,2014,14(1):1-5.
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