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Stepwise uncertainty reduction in time-lapse seismic interpretation using multi-attribute analysis
Petroleum Geoscience ( IF 1.7 ) Pub Date : 2021-05-12 , DOI: 10.1144/petgeo2020-087
Masoud Maleki 1 , Shahram Danaei 1 , Felipe Bruno Mesquita da Silva 1 , Alessandra Davolio 1 , Denis José Schiozer 1
Affiliation  

Recently, time-lapse seismic (4D seismic) has been steadily used to demonstrate the relation between field depletion and 4D seismic response, and, subsequently, to provide more efficient field management. A key component of reservoir monitoring is the knowledge of fluid movement and pressure variation. This information is vital in assisting infill drilling and as a reliable source of data to update reservoir models, and, consequently, in helping to improve model-based reservoir management and decision-making processes. However, in practice, varying levels of uncertainty are inherent in the 4D seismic interpretation of reservoirs that uses a multipart production regime. The complex nature of some 4D seismic signals emphasizes the role of the competing effects of geology, rock and fluid interactions. Hence, a reliable 4D interpretation requires an interdisciplinary approach that entails data analysis and insights from geophysics, engineering and geology. In this study, a stepwise workflow was introduced to reduce the uncertainties in the 4D seismic interpretation and to identify the improvements required in order to perform better reservoir surveillance. In parallel, the workflow demonstrates the use of engineering data analysis in conducting a consistent interpretation, and encompasses the 3D and 4D seismic attributes with engineering data analysis. This study was carried out in a Brazilian heavy-oil offshore field where production started in 2013. The field experienced intense production activity up to 2016, making the deep-water field an ideal candidate to explore the challenges in interpreting complex 4D signals. Beyond these challenges, a significant understanding of reservoir behaviour is obtained and improvements to the reservoir simulation model are suggested that could assist reservoir engineers with data assimilation applications.



中文翻译:

多属性分析在时移地震解释中逐步降低不确定性

近来,时移地震(4D地震)已被稳定地用于证明场耗与4D地震响应之间的关系,并随后提供了更有效的场管理。储层监测的关键组成部分是流体运动和压力变化的知识。这些信息对于协助填充钻探以及作为更新储层模型的可靠数据源至关重要,因此也有助于改善基于模型的储层管理和决策过程。但是,在实践中,使用多部分生产方案的储层的4D地震解释固有存在变化的不确定性级别。某些4D地震信号的复杂性质强调了地质,岩石和流体相互作用的相互竞争作用的作用。因此,可靠的4D解释需要一种跨学科的方法,该方法需要进行数据分析以及来自地球物理学,工程学和地质学的见解。在这项研究中,引入了分步的工作流程,以减少4D地震解释中的不确定性,并确定为了进行更好的储层监测而需要进行的改进。同时,工作流演示了在进行一致解释时如何使用工程数据分析,并通过工程数据分析涵盖了3D和4D地震属性。这项研究是在巴西的重油海上油田进行的,该油田于2013年开始生产。直到2016年,该油田都经历了密集的生产活动,这使深水油田成为探索解释复杂4D信号挑战的理想人选。除了这些挑战,

更新日期:2021-05-12
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