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Reservoir Modeling for Horizontal-Well Exploitation of a Giant Heavy-Oil Field

机译:巨型重油油田水平井开采的油藏建模

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摘要

The Hamaca field, located in Venezuela's Orinoco heavy-oil belt, is a giant extra heavy-oil accumulation operated by Ameriven, an operating agent company for PDVSA, ConocoPhillips, and Chev-ronTexaco. Over the 35-year life of the field, more than 1,000 horizontal laterals are planned to deliver 190,000 BOPD to a heavy-oil upgrader facility. Reservoir models are built to support a broad continuum of activities to meet this objective. This paper will review the Hamaca reservoir-modeling process, the challenge of integrating many sources of geologic and geophysical constraints (including horizontal-well information), the focus on continuous model improvement, and issues unique to Hamaca rock and fluid properties. We will show that efficiently evolving a very large geocellular model in an active project like Hamaca can be accomplished through the use of object-oriented process automation. In addition, the paper will illustrate that careful consideration should be paid to issues related to horizontal-well sampling bias and positional uncertainty before constraining a geocellular model with horizontal-well data. The paper will discuss the multiple sophisticated modeling techniques that were used to address the objectives of the Hamaca modeling program.
机译:位于委内瑞拉奥里诺科重油带的Hamaca油田是由Ameriven(PDVSA,ConocoPhillips和Chev-ronTexaco的运营代理公司)运营的巨大的超重油聚集区。在该油田35年的使用寿命中,计划有1000多个水平分支井将190,000 BOPD输送到稠油提质设施中。储层模型的建立是为了支持一系列广泛的活动以实现这一目标。本文将回顾哈马卡(Hamaca)储层建模过程,整合许多地质和地球物理约束源(包括水平井信息)所面临的挑战,对持续模型改进的关注以及哈马卡岩石和流体特性所独有的问题。我们将证明,通过使用面向对象的过程自动化,可以在诸如Hamaca这样的活跃项目中有效地演化非常大的地理细胞模型。另外,本文将说明在用水平井数据约束地质细胞模型之前,应仔细考虑与水平井采样偏差和位置不确定性有关的问题。本文将讨论用于解决Hamaca建模程序目标的多种复杂建模技术。

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