ncdc logo title
元数据
名   称 A GIS-based grid model for spatial data management and preliminary applications for assessing deep oil-gas resources
科技资源标识 CSTR:11738.14.NCDC.XDA14.PP5592.2024
DOI 10.1088/1755-1315/600/1/012014
数据共享方式 开放下载
摘   要 With the development and maturity of mid-shallow reservoirs, deep reservoirs have
become the main exploration targets recently. Deep oil-gas exploration and evaluation are
facing great challenges of multi-source data utilization. The aim of the exploration is to verify
the resources, location and scale of deep oil and gas, which could be well managed and
calculated by the means of Geographic Information System (GIS). In this paper, a grid
management and calculation method of deep oil and gas resources is proposed based on
ArcGIS 10.5 software, which was preliminarily applied to evaluate the deep oil and gas
resources in Tarim Basin. The hydrocarbon generation intensity is calculated and analyzed
according to distinct source rocks, spatial patterns, and temporal sequence. The results show
that the hydrocarbon generation intensity in the Lower Cambrian strata of Tarim Basin is
considerable in total and concentrated in spatial distribution. The total hydrocarbon generation
intensity in argillaceous source rocks is higher than that in carbonate source rocks. Among the
four types of hydrocarbons including oil, light oil, gas and methane, the generation intensity of
the oil is the highest
学科分类
关键词
作者 Na Li
数据量 1.6 MiB
论文类型: journal
论文网址: http://dx.doi.org/10.1088/1755-1315/600/1/012014
期刊名称: The 1st Virtual Meeting on Deep Oil and Gas. IOP Conf. Series: Earth and Environmental Science
出版时间: 2020-11-01
引用和标注
数据引用
Na Li. A GIS-based grid model for spatial data management and preliminary applications for assessing deep oil-gas resources. 国家冰川冻土沙漠科学数据中心(http://www.ncdc.ac.cn), 2024. https://cstr.cn/CSTR:11738.14.NCDC.XDA14.PP5592.2024.
Na Li. A GIS-based grid model for spatial data management and preliminary applications for assessing deep oil-gas resources. 国家冰川冻土沙漠科学数据中心(http://www.ncdc.ac.cn), 2024. https://www.doi.org/10.1088/1755-1315/600/1/012014.
许可协议
知识共享许可协议   本作品采用 知识共享署名 4.0 国际许可协议进行许可。

项目信息 详情