改进深水稠油油田四维地震监测模拟模型的综合方法

IF 1.9 4区 地球科学 Q3 GEOSCIENCES, MULTIDISCIPLINARY
M. Correia, M. Maleki, Felipe Bruno Mesquita da Silva, A. Davolio, D. Schiozer
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引用次数: 1

摘要

由于对静、动态数据的简化,生产资料或四维地震资料所揭示的地质特征往往在数据同化中被忽略,或与地质建模任务脱节。这项工作提供了一个工作流程,通过正演地质建模方法精确地整合四维地震信息,并提供了用观测到的动态数据校准的先验模拟模型。该方法分为四个步骤:(1)建立地质模型;(2)基于多重随机方法生成等概率地质统计实现;(3)应用DLHG方法(离散拉丁超立方体与地质统计学相结合);(4)利用观测到的动态数据验证地质一致性和不确定性量化。该方法应用于巴西Campos盆地海上稠油油田浊积岩油藏。从四维地震数据集中,可获得以下数据:(1)基础调查,(2)监测-2016,(3)监测-2020。通过将观测构造特征的几何建模技术与观测砂道的物体建模方法相结合,将解释的四维地震趋势整合到地质模型中。然后通过DLHG方法将地质统计学实现与动态不确定性相结合。基于NQDS指标的定量验证表明,生成的先验模拟模型包含了观测到的生产数据。此外,基于dRMS振幅图与实测四维地震资料的匹配,突出了增加四维地震信息的价值。本文提出了一种成功的正演模拟方法,以突出四维地震在数据同化之前对模拟模型进行校准的价值。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Integrated Approach to Improve Simulation Models in an Deepwater Heavy Oil Field with 4D seismic monitoring
The geological features revealed by well production data or 4D Seismic are often neglected in data assimilation or disconnected from the geomodelling tasks through simplifications on static and dynamic data. This work provides a workflow to accurately integrate 4D seismic insights through a forward geomodelling approach and provides prior simulation models calibrated with observed dynamic data. The methodology follows four steps: (1) develop the geological model, (2) generate equiprobable geostatistical realisations based on the multiple stochastic approach, (3) apply the DLHG method (Discretized Latin Hypercube combined with Geostatistics), and (4) validate the geological consistency and uncertainty quantification using the observed dynamic data. The methodology is applied to a real turbiditic reservoir, a heavy oil field in the offshore Campos Basin, Brazil. From the 4D seismic datasets, the following data was available: (1) base survey, (2) monitor-2016, and (3) monitor-2020. The interpreted 4D seismic trends were integrated in the geological model by combining the geometrical modelling technique, for observed structural features, with the objects’ modelling approach, for the observed sand channels. The geostatistical realisations were then combined with dynamic uncertainties through the DLHG method. The quantitative validation based on the NQDS indicator showed that the generated prior simulation models encompass the observed production data. In addition, the match with observed 4D seismic data based on dRMS amplitude maps highlighted the value of adding 4D seismic information. This paper presents a successful forward modelling approach to highlight the value of 4D seismic on the calibration of simulation models prior to data assimilation.
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来源期刊
Petroleum Geoscience
Petroleum Geoscience 地学-地球科学综合
CiteScore
4.80
自引率
11.80%
发文量
28
审稿时长
>12 weeks
期刊介绍: Petroleum Geoscience is the international journal of geoenergy and applied earth science, and is co-owned by the Geological Society of London and the European Association of Geoscientists and Engineers (EAGE). Petroleum Geoscience transcends disciplinary boundaries and publishes a balanced mix of articles covering exploration, exploitation, appraisal, development and enhancement of sub-surface hydrocarbon resources and carbon repositories. The integration of disciplines in an applied context, whether for fluid production, carbon storage or related geoenergy applications, is a particular strength of the journal. Articles on enhancing exploration efficiency, lowering technological and environmental risk, and improving hydrocarbon recovery communicate the latest developments in sub-surface geoscience to a wide readership. Petroleum Geoscience provides a multidisciplinary forum for those engaged in the science and technology of the rock-related sub-surface disciplines. The journal reaches some 8000 individual subscribers, and a further 1100 institutional subscriptions provide global access to readers including geologists, geophysicists, petroleum and reservoir engineers, petrophysicists and geochemists in both academia and industry. The journal aims to share knowledge of reservoir geoscience and to reflect the international nature of its development.
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