A unified effective medium modeling framework for quantitative characterization of hydrate reservoirs

doi:10.1190/GEO2021-0349.1

IOCAS-IR > 海洋地质与环境重点实验室

	A unified effective medium modeling framework for quantitative characterization of hydrate reservoirs
	Pan, Haojie 1; Li, Hongbing 2; Wang, Xiujuan 3; Cai, Jianchao 4; Qian, Jin 5,6; Howard, James Jennings 7; Gao, Qiang 2
	2022-09-01
发表期刊	GEOPHYSICS
ISSN	0016-8033
卷号	87 期号:5 页码:MR219-MR234
通讯作者	Pan, Haojie(panhaojie88@163.com) ; Li, Hongbing(hbingli@petrochina.com.cn)
摘要	Quantitative characterization of hydrate reservoirs is essential for evaluating hydrate resources and monitoring environmental hazards. Rock-physics models provide the theoretical basis for linking the hydrate saturation and distribution to the elastic properties. However, many of the existing models ignore the coupled effect of hydrate saturation and complex morphologies on the elastic behaviors and thereby fail to accurately describe hydrate reservoirs. To address these problems, the authors have proposed a unified effective medium modeling framework honoring multiple hydrate morphologies. In this framework, the manners in which the different types of hydrates interact with the sediment grains are characterized by different effective medium models. In addition to the hydrate saturation, the modeling results also reveal the effects of the cement factor, friction coefficient, incidence angle, lithology, and hydrate morphology on the elastic properties of the hydrate reservoirs. Then, five experimental data sets for synthetic methane and tetrahydrofuran hydrates formed under different conditions are used to validate the feasibility of the unified rock-physics modeling scheme. The good agreement between the theoretical predictions and laboratory data indicates that this method can effectively determine the hydrate occurrence mechanisms from the acoustic responses in different hydrate formation environments. On the basis of the constructed elastic rock-physics templates, multiple hydrate morphologies are determined with cluster analysis and then used for constraining the modeling scheme. Finally, the proposed modeling method is tested using sonic logs from Ignik Sikumi, North Slope of Alaska, and Hole U1518B, the northern Hikurangi margin, offshore New Zealand. The hydrate saturations estimated from the velocities are consistent with the interpretations based on resistivity and nuclear magnetic resonance logs, as well as chloride measurements, confirming the applicability and feasibility of our unified theoretical modeling framework.
DOI	10.1190/GEO2021-0349.1
收录类别	SCI
语种	英语
资助项目	National Natural Science Foundation of China[42104121] ; National Natural Science Foundation of China[41976077] ; National Key Research & Development Program of China[2019YFC0605504] ; Basic Research and Strategic Reserve Technology Funds for Affiliated Institutions of China National Petroleum Corporation[2018D500811]
WOS研究方向	Geochemistry & Geophysics
WOS类目	Geochemistry & Geophysics
WOS记录号	WOS:000882980700012
出版者	SOC EXPLORATION GEOPHYSICISTS
引用统计	被引频次：5[WOS] [WOS记录] [WOS相关记录]
文献类型	期刊论文
条目标识符	http://ir.qdio.ac.cn/handle/337002/180390
专题	海洋地质与环境重点实验室
通讯作者	Pan, Haojie; Li, Hongbing
作者单位	1.Yangtze Univ, Coll Geophys & Petr Resources, Wuhan, Peoples R China 2.Petrochina, Res Inst Petr Explorat & Dept, Dept Geophys, Beijing, Peoples R China 3.Ocean Univ China, MOE & Coll Marine Geosci, Frontiers Sci Ctr Deep Ocean Multispheres & Earth, Key Lab Submarine Geosci & Prospecting Techn, Qingdao, Peoples R China 4.China Univ Petr, State Key Lab Petr Resources & Prospecting, Beijing, Peoples R China 5.Chinese Acad Sci, Inst Oceanol, Ctr Ocean Mega Sci, Qingdao, Peoples R China 6.Chinese Acad Sci, Inst Oceanol, Key Lab Marine Geol & Environm, Qingdao, Peoples R China 7.Univ Tulsa, Dept Geosci, Tulsa, OK USA
推荐引用方式 GB/T 7714	Pan, Haojie,Li, Hongbing,Wang, Xiujuan,et al. A unified effective medium modeling framework for quantitative characterization of hydrate reservoirs[J]. GEOPHYSICS,2022,87(5):MR219-MR234.
APA	Pan, Haojie.,Li, Hongbing.,Wang, Xiujuan.,Cai, Jianchao.,Qian, Jin.,...&Gao, Qiang.(2022).A unified effective medium modeling framework for quantitative characterization of hydrate reservoirs.GEOPHYSICS,87(5),MR219-MR234.
MLA	Pan, Haojie,et al."A unified effective medium modeling framework for quantitative characterization of hydrate reservoirs".GEOPHYSICS 87.5(2022):MR219-MR234.