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[1]汪永华,蔚远江*,吴珍珍,等.基于ArcGIS空间图形插值法的致密气资源评价——以俄罗斯蒂曼—伯朝拉盆地为例[J].地球科学与环境学报,2023,45(05):1246-1256.[doi:10.19814/j.jese.2023.04026]
 WANG Yong-hua,YU Yuan-jiang*,WU Zhen-zhen,et al.Tight Gas Resource Evaluation Based on ArcGIS Spatial Graph Interpolation Method—A Case Study of Timan-Pechora Basin in Russia[J].Journal of Earth Sciences and Environment,2023,45(05):1246-1256.[doi:10.19814/j.jese.2023.04026]
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基于ArcGIS空间图形插值法的致密气资源评价——以俄罗斯蒂曼—伯朝拉盆地为例(PDF)
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《地球科学与环境学报》[ISSN:1672-6561/CN:61-1423/P]

卷:
第45卷
期数:
2023年第05期
页码:
1246-1256
栏目:
庆贺汤中立院士从事地质工作七十周年专辑
出版日期:
2023-09-15

文章信息/Info

Title:
Tight Gas Resource Evaluation Based on ArcGIS Spatial Graph Interpolation Method—A Case Study of Timan-Pechora Basin in Russia
文章编号:
1672-6561(2023)05-1246-11
作者:
汪永华1蔚远江12*吴珍珍1张 倩1王红军1马 锋1刘祚冬1张新顺1
(1. 中国石油勘探开发研究院,北京 100083; 2. 国家能源页岩气研发(实验)中心,北京 100083)
Author(s):
WANG Yong-hua1 YU Yuan-jiang12* WU Zhen-zhen1 ZHANG Qian1 WANG Hong-jun1 MA Feng1 LIU Zuo-dong1 ZHANG Xin-shun1
(1. Research Institute of Petroleum Exploration and Development, PetroChina, Beijing 100083, China; 2. National Energy Shale Gas R&D(Experiment)Center, Beijing 100083, China)
关键词:
致密气 资源评价 ArcGIS空间图形插值法 图形关键参数 数据参数 插值方法 插值运算 俄罗斯
Keywords:
tight gas resource evaluation ArcGIS spatial graph interpolation method graphics key parameter data parameter interpolation method interpolation operation Russia
分类号:
TE19; P618.13
DOI:
10.19814/j.jese.2023.04026
文献标志码:
A
摘要:
致密气呈大面积连续聚集分布、储层非均质性强、资源丰度差异较大,传统的体积法资源评价无法表征关键参数和资源的非均质性、资源丰度平面分布差异性。基于全球非常规油气勘探开发基础数据和商业数据库、ArcGIS软件数据管理与空间叠加分析功能,建立了ArcGIS空间图形插值法及其评价致密气资源的七步操作技术流程。该流程具体包括:将评价区关键图形和数据参数转换为ArcGIS空间矢量数据,根据地质属性相似性划定评价区和评价单元,在区域上进行网格化,优选普通克里金插值法,以网格为单元对每个参数进行空间插值运算和赋值,将关键参数网格图进行空间叠加、网格资源量计算与积分求和,最终得出评价区的总地质资源量、总可采资源量及其丰度和相关图件。将该方法应用于俄罗斯蒂曼—伯朝拉盆地资源评价,结果表明:二叠系致密气总可采资源潜力为3 400×108 m3; “甜点区”主要分布于评价区北部、南部和东部的隆起带和山前坳陷带; 北部—东部山前坳陷带成藏组合有利,地台区二叠系埋深较浅,北极的海域部分勘探程度最低,预测最有潜力,是开辟北极资源战略基地的重要据点。
Abstract:
Tight gas exhibits a large area of continuous accumulation distribution, strong reservoir heterogeneity, and significant differences in resource abundance. Traditional volumetric resource evaluation cannot characterize key parameters and resource heterogeneity, as well as differences in resource abundance plane distribution. Based on the basic exploration and development data of global unconventional oil and gas of PetroChina, the global commercial database of oil and gas basins, and the data management and spatial overlay analysis functions provided by ArcGIS software, ArcGIS spatial graph interpolation method(ArcGIS SGIM)and its seven-step technical process for evaluating tight gas resources were established. The process converts the key graphics and data parameters of the evaluation area into ArcGIS spatial vector data, delineate the evaluation area and evaluation units based on the similarity of geological attributes, and grid on the area. The common Kriging interpolation method is preferred to carry out spatial interpolation and assignment on each parameter using the grid as a unit, stack the key parameter grid map in space, calculate and integrate the grid resources. Finally, the geological resource amount, recoverable resource amount, abundance and map of the whole evaluation area are obtained. This method is applied to evaluate the tight gas resource of Timan-Pechora Basin in Russia. The results show that the total recoverable resource potential of Permian is 3 400×108 m3. The “sweet-spot areas” are mainly distributed in the uplift zone and piedmont depression zone in the north, south and east of the evaluation area. The northern and eastern piedmont depression zones have favorable reservoir formation combinations, shallow burial depth of Permian in the platform area, and the lowest exploration degree in some parts of Arctic sea. It is predicted to have the most potential and is an important stronghold for opening a strategic base for Arctic resources.

参考文献/References:

[1] 孙龙德,邹才能,贾爱林,等.中国致密油气发展特征与方向[J].石油勘探与开发,2019,46(6):1015-1026.
SUN Long-de,ZOU Cai-neng,JIA Ai-lin,et al.Deve-lopment Characteristics and Orientation of Tight Oil and Gas in China[J].Petroleum Exploration and Development,2019,46(6):1015-1026.
[2] 贾爱林,位云生,郭 智,等.中国致密砂岩气开发现状与前景展望[J].天然气工业,2022,42(1):83-92.
JIA Ai-lin,WEI Yun-sheng,GUO Zhi,et al.Development Status and Prospect of Tight Sandstone Gas in China[J].Natural Gas Industry,2022,42(1):83-92.
[3] 张道伟,杨 雨.四川盆地陆相致密砂岩气勘探潜力与发展方向[J].天然气工业,2022,42(1):1-11.
ZHANG Dao-wei,YANG Yu.Exploration Potential and Development Direction of Continental Tight Sand-stone Gas in the Sichuan Basin[J].Natural Gas Indu-stry,2022,42(1):1-11.
[4] 邴振阳.盆地级致密砂岩气资源评价方法研究:以北美地区为例[D].大庆:东北石油大学,2018.
BING Zhen-yang.Research on Evaluation Method of Basin-scale Tight Gas Sands Resources:Illustrated by the Case of North America[D].Daqing:Northeast Petroleum University,2018.
[5] 郭秋麟,周长迁,陈宁生,等.非常规油气资源评价方法研究[J].岩性油气藏,2011,23(4):12-19.
GUO Qiu-lin,ZHOU Chang-qian,CHEN Ning-sheng,et al.Evaluation Methods for Unconventional Hydrocarbon Resources[J].Lithologic Reservoirs,2011,23(4):12-19.
[6] 王社教,李 峰,郭秋麟,等.致密油资源评价方法及关键参数研究[J].天然气地球科学,2016,27(9):1576-1582.
WANG She-jiao,LI Feng,GUO Qiu-lin,et al.Tight Oil Resource Assessment Methods and Key Parameters[J].Natural Gas Geoscience,2016,27(9):1576-1582.
[7] 王红军,马 锋.全球非常规油气资源评价[M].北京:石油工业出版社,2017.
WANG Hong-jun,MA Feng.Evaluation of Global Unconventional Oil and Gas Resources[M].Beijing:Petroleum Industry Press,2017.
[8] 刘祚冬,王红军,马 锋,等.基于空间网格插值的重油油藏资源量计算方法:以扎格罗斯白垩系重油层资源评价为例[J].吉林大学学报(地球科学版),2017,47(6):1668-1677.
LIU Zuo-dong,WANG Hong-jun,MA Feng,et al.Resource Assessment of Heavy Oil Potential Based on Spatial Grid Interpotention Method:A Case Study of Cretaceous Heavy-oil Deposits in Zagros Fold Belt[J].Journal of Jilin University(Earth Science Edition),2017,47(6):1668-1677.
[9] 冯立杰,姚 兵.ArcGIS空间分析模块在规划选址中的应用[J].江西测绘,2023(1):36-38,64.
FENG Li-jie,YAO Bing.Application of ArcGIS Spatial Analysis Module in Site Selection Planning[J].Jiangxi Surveying and Mapping,2023(1):36-38,64.
[10] 邹林志,任光明,杨曦璃.基于ArcGIS 空间插值分析的三维地质可视化[J].世界有色金属,2020(19):195-196.
ZOU Lin-zhi,REN Guang-ming,YANG Xi-li.Resear-ch of 3D Geological Visualization Method Based on ArcGIS Space Interpolation Analysis[J].World Nonferrous Metals,2020(19):195-196.
[11] 王艳萍,李新庆,赵 慧,等.基于ArcGIS的宁夏降水空间插值方法对比分析[J].长江信息通信,2023,36(2):125-127.
WANG Yan-ping,LI Xin-qing,ZHAO Hui,et al.An Analysis Study on Spatial Interpolation Methods of Precipitation in Ningxia[J].Changjiang Information & Communications,2023,36(2):125-127.
[12] 马贵仁,屈忠义,王丽萍,等.基于ArcGIS空间插值的河套灌区土壤水盐运移规律与地下水动态研究[J].水土保持学报,2021,35(4):208-216.
MA Gui-ren,QU Zhong-yi,WANG Li-ping,et al.Research on Soil Water and Salt Movement and Groundwater Dynamics in Hetao Irrigation District Based on ArcGIS Spatial Interpolation[J].Journal of Soil and Water Conservation,2021,35(4):208-216.
[13] 李 斌,江信达,杨立平,等.ArcGIS 空间数据库技术在煤田地质勘探施工管理中的应用[J].矿产勘查,2022,13(9):1342-1350.
LI Bin,JIANG Xin-da,YANG Li-ping,et al.Application of ArcGIS Spatial Database Technology in Mana-gement of Coal Geological Exploration Construction[J].Mineral Exploration,2022,13(9):1342-1350.
[14] 汪永华,蔚远江,温志新,等.基于ArcGIS软件的油气资源与盆地评价工业制图技术与应用[J].地球科学与环境学报,2022,44(4):675-684.
WANG Yong-hua,YU Yuan-jiang,WEN Zhi-xin,et al.Industrial Mapping Technology and Application of Oil & Gas Resources and Basin Evaluation Based on ArcGIS Software[J].Journal of Earth Sciences and Environment,2022,44(4):675-684.
[15] 梁英波,赵 喆,张光亚,等.俄罗斯主要含油气盆地油气成藏组合及资源潜力[J].地学前缘,2014,21(3):38-46.
LIANG Ying-bo,ZHAO Zhe,ZHANG Guang-ya,et al.Resource Potentials of Main Plays in the Petrolife-rous Basins in Russia[J].Earth Science Frontiers,2014,21(3):38-46.
[16] 杨士伟,史丹妮.俄罗斯季曼—伯朝拉盆地碳酸盐岩油气藏特征分析:以Trebs和Titov油气田为例[J].石油实验地质,2016,38(3):354-365.
YANG Shi-wei,SHI Dan-ni.Characteristics of Carbo-nate Reservoirs in the Timan-Pechora Basin in Russia:The Trebs and Titov Oil Fields as Examples[J].Petroleum Geology & Experiment,2016,38(3):354-365.
[17] 李培培,杨松岭,刘志国,等.季曼—伯朝拉盆地油气地质特征及勘探潜力分析[J].科学技术与工程,2019,19(10):68-75.
LI Pei-pei,YANG Song-ling,LIU Zhi-guo,et al.Petroleum Geology Features and Exploration Potential Analysis in Timan-Pechora Basin[J].Science Techno-logy and Engineering,2019,19(10):68-75.
[18] C&C Reservoirs.Field Evaluation Report[R].Houston:C&C Reservoirs,2002.
[19] 胡永乐,史卜庆,范子菲,等.世界油气勘探开发与合作形势图集[M].北京:石油工业出版社,2020.
HU Yong-le,SHI Pu-qing,FAN Zi-fei,et al.Atlas of World Oil and Gas Exploration Development and Cooperation[M].Beijing:Petroleum Industry Press,2020.
[20] IHS Energy.Basin Monitor,Timan-Pechora Basin,Russia[R].New York:IHS Energy,2018.
[21] SCHENK C J,BIRD K J,CHARPENTIER R R,et al.Assessment of Undiscovered Oil and Gas Resource of the Timan-Pechora Basin Province, Russia 2008[R].Reston:USGS,2008.
[22] 肖艳桐,张瑞雪,吴 攀,等.土壤重金属分析常用空间插值法研究进展[J].环境科学与技术,2019,42(3):198-205.
XIAO Yan-tong,ZHANG Rui-xue,WU Pan,et al.Review on Common Spatial Interpolation Methods for Soil Heavy Metal Analysis[J].Environmental Scien-ce & Technology,2019,42(3):198-205.
[23] 张海平,周星星,代 文,等.空间插值方法的适用性分析初探[J].地理与地理信息科学,2017,33(6):14-18,105.
ZHANG Hai-ping,ZHOU Xing-xing,DAI Wen,et al.A Preliminary on Applicability Analysis of Spatial Interpolation Method[J].Geography and Geo-information Science,2017,33(6):14-18,105.
[24] 段志鹏,林进清,利 锋,等.基于GIS的近海沉积物痕量元素空间分布特征插值方法选择[J].海洋环境科学,2014,33(2):262-268.
DUAN Zhi-peng,LIN Jin-qing,LI Feng,et al.Research on the Space Distribution Features of Trace Metal in the Offshore Sediments Based on GIS[J].Marine Environmental Science,2014,33(2):262-268.
[25] 胡超魁,李 爱,李 楠,等.辽东湾沉积物石油类GIS空间插值研究[J].海洋技术学报,2019,38(6):62-67.
HU Chao-kui,LI Ai,LI Nan,et al.Study on GIS Spatial Interpolation of Petroleum GIS in Sediments of Liaodong Bay[J].Journal of Ocean Technology,2019,38(6):62-67.
[26] 王朋岩,邴振阳.全球致密砂岩气资源分布特征与规律[J].中国锰业,2017,35(6):23-29.
WANG Peng-yan,BING Zhen-yang.Distribution Cha-racteristics and Regularities of Tight Sandstone Gas Resources in the World[J].China's Manganese Industry,2017,35(6):23-29.
[27] 贺正军,王兆明,范兴燕,等.俄罗斯北极油气勘探形势与未来合作展望[J].中国石油勘探,2022,27(6):54-62.
HE Zheng-jun,WANG Zhao-ming,FAN Xing-yan,et al.Petroleum Exploration Situation and Cooperation Prospects in Russian Arctic[J].China Petroleum Exploration,2022,27(6):54-62.
[28] 窦立荣,温志新,王建君,等.2021 年世界油气勘探形势分析与思考[J].石油勘探与开发,2022,49(5):1033-1044.
DOU Li-rong,WEN Zhi-xing,WANG Jian-jun,et al.Analysis of the World Oil and Gas Exploration Situation in 2021[J].Petroleum Exploration and Development,2022,49(5):1033-1044.
[29] HOOD K C,YUREWICZ D A,STEFEN K J.Assessing Continuous Resources:Building the Bridge Between Static and Dynamic Analyses[J].Bulletin of Canadian Petroleum Geology,2012,60(3):112-133.

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备注/Memo

备注/Memo:
收稿日期:2023-04-18; 修回日期:2023-06-12投稿网址:http:∥jese.chd.edu.cn/
基金项目:国家科技重大专项项目(2017ZX05035-004); 中国石油天然气集团公司基础性前瞻性项目(2021DJ3101,2021DJ1801,2022DJ8001)
作者简介:汪永华(1970-),女,湖北蕲春人,工程师,E-mail:wangyh2008@petrochina.com.cn。
*通讯作者:蔚远江(1965-),男,重庆市人,中国石油勘探开发研究院高级工程师,工学博士,博士后,E-mail:yuyuj@petrochina.com.cn。
更新日期/Last Update: 2023-10-15