Comparison of marine controlled-source electromagnetic data acquisition systems by a reservoir sensitivity index:analyzing the effect of water depths

GUO Zhenwei; DONG Hefeng; LIU Jianxin

doi:10.1007/s13131-016-0954-2

海水深度对两种可控源电磁勘探方法的影响

doi: 10.1007/s13131-016-0954-2

1.
Norwegian University of Science and Technology, Trondheim 7491, Norway
2.
中南大学, 长沙, 410083, 中国

计量
- 文章访问数: 1193
- HTML全文浏览量: 47
- PDF下载量: 631
- 被引次数: 0
出版历程
- 收稿日期: 2015-10-08
- 修回日期: 2016-05-09

Comparison of marine controlled-source electromagnetic data acquisition systems by a reservoir sensitivity index:analyzing the effect of water depths

1.
Norwegian University of Science and Technology, Trondheim 7491, Norway
2.
Central South University, Changsha 410083, China

摘要

摘要: 在过去的十几年中，海洋可控源电磁法的迅猛发展在油气勘探中起到了重要的作用。在浅海环境中，常见的两种可控源电磁法的数据采集系统采用海底基站式（Sea Bed Logging（SBL）），以及拖缆式（Towed Streamer electromagnetics（TSEM））两种模式。本文的研究目的是研究在不同水深条件下，两种数据采集系统的工作模式以及海水对其的影响。为了更好的比较两种数据采集方式，本文采用了三种不同的分析方法：一维敏感度模型，二维油藏敏感指数，Occam反演。一维敏感度模型能够迅速的给出结果，但是由于结果的信息量有限，不足以给定准确的结论。二维油藏敏感指数可以依据正演的结果快速的给定一个水深和油藏敏感度的关系。Occam反演方法用于对合成数据进行反演计算，估计地下介质电阻率参数。为了更好的评价反演结果，本文引入了横向电阻异常率（ATR）。通过对合成数据的反演结果的分析，本文得出以下结论：在浅水环境中，SBL和TSEM数据采集系统都可以提供较高的分辨率，对高电阻层有很好的敏感度。在深水环境中，SBL数据采集系统具有明显的优势。ATR对于反演的电阻率参数结果具有很好的评价作用。
- 可控源电磁法 /
- 油藏敏感指数 /
- 海底基站式 /
- 拖缆式
Abstract: During the past ten years, a marine controlled source electromagnetic (CSEM) method has been developed rapidly as a technology for hydrocarbon exploration. For shallow water environments, two CSEM data acquisition systems:Seabed Logging (SBL) and towed streamer electromagnetics (TSEM) have been developed in recent years. The purpose is to compare the performance of the SBL and TSEM systems at different water depths. Three different methods for the comparison are presented. The first method is a quick one dimensional sensitivity modelling. As a result, the sensitivity of marine CSEM data increases with water depth for the SBL system. Further, the sensitivity decreases with the increasing water depth for the TSEM system. The two other methods use two dimensional synthetic data from a simple 2-D isotropic model. The second method is a reservoir sensitivity index (RSI) method which has been developed to provide a quick comparison of the two systems. The RSI is calculated as the amplitude of the scattered field dividing by data uncertainty. From the calculations, it is found that with the increasing water depth RSI increases for the SBL system, while it decreases for the TSEM system. The third method uses Occam's inversion, and applies an anomaly transverse resistance (ATR) ratio for evaluating the resulting resistivity image. In shallow water environments, the resolution of the CSEM inversion results is good for both the SBL and TSEM systems. In deep water environments, the resolution of the CSEM inversion is better for the SBL system than for the TSEM system. The ATR ratios of the resistivity images show the similar conclusion. The SBL data acquisition system has an advantage in deep water environments. The TSEM system, on the other hand, is preferable for the shallow water environments.
- controlled-source electromagnetic /
- reservoir sensitivity index /
- seabed logging /
- towed streamer electromagnetic

HTML全文

参考文献(19)

Amundsen L, Løseth L, Mittet R, et al. 2006. Decomposition of electromagnetic fields into upgoing and downgoing components. Geophysics, 71(5):G211-G223

Anderson C, Mattsson J. 2010. An integrated approach to marine electromagnetic surveying using a towed streamer and source. Frist Break, 28(5):71-75

Baltar D, Roth F. 2013. Reserves estimation methods for prospect evaluation with 3D CSEM data. Frist Break, 31(6):103-111

Chen Jiuping, Alumbaugh D L. 2011. Three methods for mitigating airwaves in shallow water marine controlled-source electromagnetic data. Geophysics, 76(2):F89-F99

Eidesmo T, Ellingsrud S, MacGregor L M, et al. 2002. Sea bed logging(SBL), a new method for remote and direct identification of hydrocarbon filled layers in deepwater areas. First Break, 20(3):144-152

Ellingsrud S, Eidesmo T, Johansen S, et al. 2002. Remote sensing of hydrocarbon layers by seabed logging (SBL):results from a cruise offshore Angola. The Leading Edge, 21(10):972-982

Key K. 2009. 1D inversion of multicomponent, multifrequency marine CSEM data:methodology and synthetic studies for resolving thin resistive layers. Geophysics, 74(2):F9-F20

Key K. 2012. Marine EM inversion using unstructured grids:a 2D parallel adaptive finite element algorithm. In:SEG Technical Program Expanded Abstracts 2012. Las Vegas, Nevada:Society of Exploration Geophysicists, 1-5, doi: 10.1190/segam2012-1294.1

Key K, Ovall J. 2011. A parallel goal-oriented adaptive finite element method for 2.5-D electromagnetic modelling. Geophysical Journal International, 186(1):137-154

Linfoot J P, Clarke C, Mattsson J, et al. 2011. Modeling and analysis of towed EM data-An example from a North Sea field trial. In:Proceedings of 73rd EAGE Conference and Exhibition incorporating SPE EUROPEC 2011. SPE, Vienna, Austria. Oil and Gas Geoscience Division

Linfoot J, Mattsson J, Price D. 2011. Case study of a towed streamer EM survey over the Troll field, North Sea. In:SEG Technical Program Expanded Abstracts 2011. Tulsa:SEG, 594-598

Maaø F, Nguyen A K. 2010. Enhanced subsurface response for marine CSEM surveying. Geophysics, 75(3):A7-A10, doi: 10.1190/1.3377054

Mattsson J, Lindqvist P, Juhasz R, et al. 2012. Noise reduction and error analysis for a Towed EM System. In:SEG Technical Program Expanded Abstracts 2012. Las Vegas, Nevada:Society of Exploration Geophysicists, 1-5

Mattsson J M, Lund L L, Lima J L, et al. 2010. Case study-A towed EM test at the Peon discovery in the North Sea. In:Proceedings of 72nd EAGE Conference and Exhibition incorporating SPE EUROPEC 2010. Barcelona, Spain. Oil and Gas Geoscience Division

Mittet R. 2008. Normalized amplitude ratios for frequency-domain CSEM in very shallow water. First Break, 26(11):47-54

Mittet R, Morten J P. 2012. Detection and imaging sensitivity of the marine CSEM method. Geophysics, 77(6):E411-E425

Mittet R, Morten J P. 2013. The marine controlled-source electromagnetic method in shallow water. Geophysics, 78(2):E67-E77

Shantsev D V, Roth F, Ramsfjell H. 2012. Surface towing versus deep towing in marine CSEM. In:SEG Technical Program Expanded Abstracts 2012. Tulsa:SEG, 1-5

Shantsev D V, Roth F, Twarz C, et al. 2010. Shallow water CSEM using a surface-towed source. In:Proceedings of 72nd EAGE Conference and Exhibition incorporating SPE EUROPEC 2010. Barcelona, Spain:SPE, C018. Oil and Gas Geoscience Division

施引文献

资源附件(0)

访问统计

点击查看大图

计量

文章访问数: 1193
HTML全文浏览量: 47
PDF下载量: 631
被引次数: 0

海水深度对两种可控源电磁勘探方法的影响

doi: 10.1007/s13131-016-0954-2

计量

出版历程

Comparison of marine controlled-source electromagnetic data acquisition systems by a reservoir sensitivity index:analyzing the effect of water depths

计量

出版历程

目录