当有效的集成驱动开发:一个成功的历史案例

E. Spelta, V. Caronni, G. Carrasquero, M. Catanzaro, M. Rossi, R. L. Tagliamonte, A. Valdisturlo
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引用次数: 0

摘要

当采用快速通道方法驱动绿地开发时,一个强大而详细的油藏模型是必不可少的。这样的工具只能通过地质和地球物理(G&G)和油藏工程学科的协调来开发。首先,这项整合工作旨在确定油藏在不同尺度上对其动态行为影响最大的关键特征,并最终通过适当的建模方法捕获这些特征。本文以某复杂深水储层为例,介绍了该方法的应用。通过结合岩心和测井数据、岩石物理解释、沉积和建筑元素描述、定量地震储层特征以及早期开发阶段可用的少量动态信息,建立了三维集成静态模型。所实施的地质建模工作流程侧重于可能影响储层性能的非均质性,例如可能成为水力屏障的构造-地层不连续面。利用地震三维趋势对井间空间进行了相分布。相分布最终为岩石物理性质建模提供了框架。在实施这一集成的油气和油藏工作流程期间,对模型的一致性和鲁棒性进行了持续的交叉检查,从而精心设计了最终产品。由此产生的储层模型捕获了关键的不确定性(例如,包括地层不连续的储层非均质程度),从而得出了优化的开发方案,尽管可用的数据很少,但仍可以将风险降至最低。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
When Effective Integration Drives the Development: A Successful Case History
A robust and detailed reservoir model is an essential requirement when a fast track approach drives the development of a green field. Such a tool can only be developed through the orchestration of Geological and Geophysical (G&G) and Reservoir Engineering disciplines. This integration effort is, first of all, aimed at identifying the key characteristics of the reservoir most impacting its dynamic behavior at different scale and, eventually, at capturing them with the proper modelling approach. This paper decribes such approach to the case of a complex deep-water reservoir belonging to slope-toe of slope environment. A 3D integrated static model was built by incorporating core and log data, their petrophysical interpretation, a description of the depositional and architectural elements, a quantitative seismic reservoir characterization and the few dynamic information available at this early development stage. The implemented geomodeling workflow focused on heterogenetiy that could affect reservoir performance such as structural-stratigraphic discontinuities that could act as hydraulic barriers. Facies in the interwell space were distributed by applying seismic-derived 3D trends. Facies distribution eventually provided the framework within which petrophysical properties modelling was performed. During the implementation of this integrated G&G and Reservoir workflow, continuous crosschecks of consistency and robustness of the model led to elaborate the final product. The resulting reservoir model captured critical uncertainties (e.g. degree of reservoir heterogeneity including stratigraphic discontinuities) leading to an optimized development scheme, that allowed to minimize risks, despite the few data available.
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