Combination of sonic wave velocity, density and electrical resistivity for joint estimation of gas-hydrate reservoir parameters and their uncertainties

IF 9 1区 地球科学 Q1 ENERGY & FUELS
Xin Zhang, Qingping Li, Lixia Li, Qi Fan, Jianhua Geng
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引用次数: 0

Abstract

Gas-hydrate saturation and porosity are the most crucial reservoir parameters for gas-hydrate resource assessment. Numerous academics have put forward elastic and electrical petrophysical models for calculating the saturation and porosity of gas-hydrate. However, owing to the limitations of a single petrophysical model, the estimation of gas-hydrate saturation and porosity using single elastic or electrical measurement data appears to be inconsistent and uncertain. In this study, the sonic wave velocity, density and resistivity well log data are combined with a Bayesian linear inversion method for the simultaneous estimation of gas-hydrate saturation and porosity. The sonic wave velocity, density and resistivity data of the Shenhu area in the South China Sea are used to estimate the gas-hydrate saturation and porosity. To validate the accuracy of this method, the estimation results are compared with the saturation obtained from pore water chemistry and porosity obtained from density logs. The well log data examples show that the joint estimation method not only provides a rapid estimation of the gas-hydrate reservoir parameters but also improves the accuracy of results and determines their uncertainty. Document Type: Original article Cited as: Zhang, X., Li, Q., Li, L., Fan, Q., Geng, J. Combination of sonic wave velocity, density and electrical resistivity for joint estimation of gas-hydrate reservoir parameters and their uncertainties. Advances in Geo-Energy Research, 2023, 10(2): 133-140. https://doi.org/10.46690/ager.2023.11.07
结合声速、密度和电阻率联合估计天然气水合物储层参数及其不确定度
天然气水合物饱和度和孔隙度是天然气水合物资源评价中最重要的储层参数。许多学者提出了计算天然气水合物饱和度和孔隙度的弹性和电性岩石物理模型。然而,由于单一岩石物理模型的局限性,使用单一的弹性或电测量数据估计天然气水合物饱和度和孔隙度似乎不一致和不确定。本研究将声波速度、密度和电阻率测井资料结合贝叶斯线性反演方法,同时估算天然气水合物饱和度和孔隙度。利用南海神狐海域的声速、密度和电阻率资料估算了该海域的天然气水合物饱和度和孔隙度。为了验证该方法的准确性,将估计结果与孔隙水化学计算得到的饱和度和密度测井得到的孔隙度进行了比较。测井数据实例表明,联合估计方法不仅能快速估计天然气水合物储层参数,而且提高了结果的准确性,确定了结果的不确定度。文献类型:原文引号:张晓东,李强,李磊,樊强,耿军。声波速度、密度和电阻率联合估计天然气水合物储层参数及其不确定度。地球能源研究进展,2023,10(2):133-140。https://doi.org/10.46690/ager.2023.11.07
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来源期刊
Advances in Geo-Energy Research
Advances in Geo-Energy Research natural geo-energy (oil, gas, coal geothermal, and gas hydrate)-Geotechnical Engineering and Engineering Geology
CiteScore
12.30
自引率
8.50%
发文量
63
审稿时长
2~3 weeks
期刊介绍: Advances in Geo-Energy Research is an interdisciplinary and international periodical committed to fostering interaction and multidisciplinary collaboration among scientific communities worldwide, spanning both industry and academia. Our journal serves as a platform for researchers actively engaged in the diverse fields of geo-energy systems, providing an academic medium for the exchange of knowledge and ideas. Join us in advancing the frontiers of geo-energy research through collaboration and shared expertise.
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