基于证据权模型的墨西哥湾天然气水合物矿产资源GIS评价

doi:10.11978/j.issn.1009-5470.2012.05.013

热带海洋学报 ›› 2012, Vol. 31 ›› Issue (5): 88-92.doi: 10.11978/j.issn.1009-5470.2012.05.013cstr: 32234.14.j.issn.1009-5470.2012.05.013

基于证据权模型的墨西哥湾天然气水合物矿产资源GIS评价

王春娟1, 杜德文1, 刘永刚2, 朱志伟1, 闫仕娟1, 杨刚1

1. 国家海洋局第一海洋研究所, 山东青岛 266061; 2. 广州海洋地质调查局, 广东广州 510760

收稿日期:2011-09-01 修回日期:2012-03-19 出版日期:2012-11-01 发布日期:2013-02-06
通讯作者: 杜德文(1966—), 博士, 研究员, 博士生导师, 从事海洋地质、矿产资源评价相关工作。E-mail: dwendu@fio.org.cn
作者简介:王春娟(1981—), 女, 山东省莱西市人, 助理研究员, 从事GIS与天然气水合物方面的研究。
基金资助:
中国大洋协会项目(DY12513R03);国家自然科学基金(41206056, 40876036);国家重点基础研究项目(GZH002030501)

GIS assessment of potential gas hydrate mineral resources in the Gulf of Mexico based on Weights-of-Evidence modeling

WANG Chun-juan1, DU De-wen1, LIU Yong-gang2, ZHU Zhi-wei1, YAN Shi-juan1, YANG Gang1

1. First Institute of Oceanography, State Oceanic Administration, Qingdao 266061, China; 2.Guangzhou Marine Geological Survey, Guangzhou 510760, China

Received:2011-09-01 Revised:2012-03-19 Online:2012-11-01 Published:2013-02-06

摘要/Abstract

摘要： 基于ArcGIS工具, 运用证据权模型, 将墨西哥湾已知天然气水合物矿点作为训练区, 估计水深、构造、地貌、渗漏、陆坡盆地构造、海底温度、地温梯度、有机碳分布等证据图层的控矿证据权系数, 并将系数推广到整个墨西哥湾北坡, 实现对该区天然气水合物资源空间分布的估计。证据权数值说明, 天然气水合物的形成和赋存主要与渗漏、地貌和陆坡盆地构造等因素密切相关, 证据权系数分别是6.6250、2.2726和2.0447; 估计结果表明, 已发现的天然气水合物分布在预测的后验概率区间内, 说明证据权模型在天然气水合物潜在资源预测中具有良好的应用效果; 有利的后验概率区间表明, 墨西哥湾北部陆坡赋存丰富的水合物资源, 在德克萨斯—路易斯安那陆坡至密西西比峡谷一带存在寻找天然气水合物资源的潜力地段。

关键词: 证据权, 天然气水合物, 墨西哥湾, 矿产资源评价, GIS

Abstract: By using the ArcGIS tool and the Weights-of-Evidence-Modeling, the discovered gas hydrate mineral points in the northern Gulf of Mexico are considered as a training area, and estimate the ore-controlling evidence weight coefficients, which include water depth, seabed faults, seabed physiognomy, seep, slope basins, seabed temperature, geothermal gradient, and organic carbon. Then, the coefficients are extended for the whole northern slope in the Gulf of Mexico to estimate the spatial distribution of gas hydrate resources in the area. Evidence weight coefficients show that the hydrate formation and occurrence are closely related to seep, seabed physiognomy and slope basins; and the coefficients are respectively 6.6250, 2.2726 and 2.0447 for seep, seabed physiognomy and slope basins. Prediction results indicate that the discovered gas hydrate mineralization is distributed in the posterior probability sections, which shows the Weights-of-Evidence can be applied to the prediction of gas hydrate resources. Advantaged posterior probabilities show that there are abundant gas hydrate resources in the northern slope Gulf of Mexico, especially in the Texas-Louisiana-Mississippi canyon that is the potential seabed area searching for gas hydrate resources.

Key words: Weights-of-Evidence modeling, gas hydrate, Gulf of Mexico, mineral resource prediction, GIS

中图分类号:

P628

王春娟,杜德文,刘永刚,朱志伟,闫仕娟,杨刚. 基于证据权模型的墨西哥湾天然气水合物矿产资源GIS评价[J]. 热带海洋学报, 2012, 31(5): 88-92.

WANG Chun-juan,DU De-wen,LIU Yong-gang,ZHU Zhi-wei,YAN Shi-juan,YANG Gang. GIS assessment of potential gas hydrate mineral resources in the Gulf of Mexico based on Weights-of-Evidence modeling[J]. Journal of Tropical Oceanography, 2012, 31(5): 88-92.

参考文献

[1] 宋海斌, 江为为, 张文生, 等. 天然气水合物的海洋地球物理研究进展[J]. 地球物理学进展, 2002, 17(2): 224-229.
[2] 陈多福, 冯东, CATHLES L M. 海底天然气渗漏系统水合物成藏动力学及其资源评价方法[J]. 大地构造学与成矿学, 2005, 29(2): 278-284.
[3] MILKOV A V, SASSEN R. Thickness of the gas hydrate stability zone, Gulf of Mexico continental slope[J]. Marine and Petroleum Geology, 2000, 17: 981-991.
[4] 李裕伟, 赵精满, 李晨阳. 基于GMS、DSS和GIS的潜在矿产资源评价方法[M]. 北京: 地震出版社, 2007: 234- 246.
[5] SAWATZKY D L, RAINES G L, BONHAM-CARTER G F, et al. Spatial Data Modeller (SDM): ArcMAP 9.2 geoprocessing tools for spatial data modelling using weights of evidence, logistic regression, fuzzy logic and neural networks[EB/OL]. (2009-02-03) [2011-09-01]. http://arcscripts. esri.com/details. asp?dbid=15341
[6] 陈多福, 王茂春, 徐文新, 等. 墨西哥湾西北陆坡天然气水合物资源评价[J]. 海洋地质动态, 2003, 19(12): 14-17.
[7] SASSEN R, LOSH S L, CATHLES Ш L, et al. Massive vein-filling gas hydrate: relation to ongoing gas migration from the deep subsurface in the Gulf of Mexico[J]. Marine and Petroleum Geology, 2001, 18: 551-560.
[8] MILKOV A V, SASSEN R. Preliminary assessment of resources and economic potential of individual gas hydrate accumulations in the Gulf of Mexico continental slope[J]. Mar Petrol Geol, 2003, 20: 111-128.
[9] MILKOV A V, SASSEN R. Estimate of gas hydrate resource, northwestern Gulf of布及特征法依赖于渗漏天然气沉淀为水合物的比例等因素，适合Mexico continental slope[J]. Marine Geology, 2001, (179): 71-83.
[10] SASSEN R, SAMANTHA J, SWEET S T, et al. Thermogenic gas hydrates and hydrocarbon gases in complex chemosynthetic communities, Gulf of Meixco continetal slope[J]. Organic Geochemistry, 1999, 30: 485-497.
[11] 陈多福, 苏正, 冯东, 等. 海底天然气渗漏系统水合物成藏过程及控制因素[J]. 热带海洋学报, 2005, 24(3): 38-46.
[12] SASSEN R, SWEET S T, MILKOV A V, et al. Thermogenic vent gas and gas hydrate in the Gulf of Mexico slope: Is gas hydrate decomposition significant? [J]. Geology, 2001, 29(2): 107-110.
[13] WILLIAM J W, THOMAS D L, CHARLES K P. MARION DUFRESNE调查船北墨西哥湾航次总结[J]. 张明编译. 海洋地质, 2003, 40(1):27-35.
[14] SASSEN R, SWEET S T, MILKOV A V, et al. Geology and geochemistry of gas hydrates, central Gulf of Mexico continental slope[J]. Trans Gulf Coast Assoc Geol Soc, 1999, 49:462-468.
[15] SASSEN R, MILKOV A V, ERCIN O, et al. Gas venting and subsurface charge in the Green Canyon area, Gulf of Mexico continental slope: Evidence of a deep bacterial methane source[J].Organic Geochemistry,2003,34:1455-1464.
[16] MILKOV A V, SASSEN R, NOVIKOVA I, et al. Gas hydrates at minimum stability water depth in the Gulf of Mexico: Significance to geohazard assessment[J]. Trans Gulf Coast Assoc Geol Soc, 2000, 50: 217-224.
[17] MILKOV A V, SASSEN R. Economic geology of offshore gas hydrate accumulations and provinces[J]. Marine Geology, 2002, 19:1-11.
[18] 王春娟, 杜德文, 孟宪伟, 等. 墨西哥湾天然气水合物矿产资源预测模型及其应用[J].海洋学报, 2009, 31(3): 67-71.
[19] BROOKS J M, KENNICUTT M C, FAY R, et al. Thermogenic gas hydrates in the Gulf of Mexico[J]. Science, 1984, 225: 409-411.
[20] MACDONALDI R, WILLIAM W S, MICHAEL B P. Gas hydrate and chemosynthetic biota in mounded bathymetry at mid-slope hydrocarbon seeps: Northern Gulf of Mexico[J]. Marine Geology, 2003, 3316:1-26.

基于证据权模型的墨西哥湾天然气水合物矿产资源GIS评价

GIS assessment of potential gas hydrate mineral resources in the Gulf of Mexico based on Weights-of-Evidence modeling

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