利用流线监测提高威尔明顿油田的用水效率

Ryan R. Kwong, Ryan P. Kellogg, M. Thiele, Dave Simmons
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引用次数: 2

摘要

本文介绍了一种基于流线的监测方法的应用,该方法使用流线来定义以注入器为中心的模式,计算模式效率,并为注入器和生产商提出目标速率,以提高石油产量,降低WOR,减少Wilmington油田的水循环。Wilmington油田是位于洛杉矶盆地的一个断层背斜构造,砂/页岩层序交替分布,位于加州长滩的海上和陆上。自1953年以来,该油田一直处于积极注水状态,目前注入水量超过160万桶(BWIPD),含水率约为98%。由于工业港口环境和下沉历史,需要最小的电压替代比(VRR)来维持稳定的地表高度。考虑到Wilmington油田的规模,我们重点实施了两个试点项目,通过针对不同的断块/油藏来提高驱油效果:2块焦油油藏(Tar 2)和7块Ranger油藏(Ranger 7),它们共占Wilmington石油总产量的5%。这两种监测模型都使用了具有现有三维地质模型地质属性的多层数值网格。Tar 2和Ranger 7的主要目标是重新分配当前的注入水量,以提高石油产量,同时保持VRR目标。在建模方法中,使用伪注入器将注入Tar 2模型垂直细化为逐砂注入。Ranger 7模型的注水井采用单通道,并根据渗透率高度(kh)值将注入量分配到每种砂中。根据监测模型,两个试验区通过节流器调整和/或关井实现了速率变化,不需要改变泵的尺寸或修井。Tar - 2和Ranger - 7飞行员分别接受了6个月和17个月的监测。在保持恒定注入速率的情况下,Tar 2试验区的年产油量递减率从20%降至2%,而Ranger 7试验区的新速率目标使WOR从52降至47,年产油量递减率从15%降至5%。随着在tar2和Ranger 7 (Wilmington油田更大的区域)的水驱管理方法的成功,Ranger 6断块(占总产量的23%)现在正在进行类似的评估,目标是使用相同的监测方法来降低WOR和产油量下降。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Improving Water Efficiency in the Wilmington Field Using Streamline-Based Surveillance
This paper describes application of a streamline-based surveillance methodology to define injector-centered-patterns using streamlines, calculate pattern efficiencies, and propose target rates for injectors and producers to improve oil production, lower WOR, and reduce water cycling in the Wilmington Field. The Wilmington Field is a faulted anticline structure in the Los Angeles Basin with alternating sand/shale sequences, which straddles offshore and onshore locations in Long Beach, California. It has been actively waterflooded since 1953 and currently injects over 1.6 million barrels of water injected (BWIPD) and produces at ~98% water cut. Due to the industrial port environment and history of subsidence, a minimum voidage replacement ratio (VRR) is required to sustain stable surface elevations. Given the scale of the Wilmington field, we focused on implementing two pilots to improve the flood performance by targeting different fault blocks/reservoirs: Fault Block 2 Tar Reservoir (Tar 2) and Fault Block 7 Ranger Reservoir (Ranger 7) which together represent 5% of total Wilmington oil production. Both surveillance models used a multi-layered numerical grid with geologic properties from existing 3D geomodels. The key objective for Tar 2 and Ranger 7 was to redistribute the current injected water volumes to improve oil production while maintaining VRR targets. Injection into the Tar 2 model was vertically refined to per-sand using pseudo-injectors in the modeling approach. Injection wells for the Ranger 7 model used a single path and injection volumes were allocated into each sand using permeability-height (kh) values. Rate changes suggested by the surveillance model for both pilot areas were made through choke adjustments and/or well shut-ins and required no pump size changes or workovers. The Tar 2 and Ranger 7 pilots were monitored over a 6-month and 17-month period, respectively. The Tar 2 pilot area resulted in a decrease from 20% to 2 % annual oil decline rate while keeping a constant injection rate, while the Ranger 7 pilot area new rate target resulted in WOR from 52 to 47 and a decrease in annual oil decline from 15% to 5%. With the success of the waterflood management approach seen in Tar 2 and Ranger 7, a larger area in the Wilmington Field, Fault Block 6 Ranger (23% of total production) is now under a similar evaluation with the goal of reducing WOR and oil decline using the same surveillance methodology.
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