Use of Look-Ahead Reservoir Models to Optimize Reservoir Performance.

P. Crumpton, M. Cancelliere
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Abstract

The objective is to use future simulated well behavior to optimize well management within a complex reservoir simulation model. This can be used to increase simulated plateau life and reserves. Traditional well management systems often rely on instantaneous well potential to choose guide rates to determine the well allocation within a group of wells. This has proved to be a very effective strategy. However, for the problem of plateau optimization, one can observe the high instantaneous potential of many wells after the plateau is exhausted; this is because the traditional well management system has no knowledge of future behavior. In this work, the future behavior of all the wells and groups with a large and complex giant reservoir simulation model is determined by spawning a coarsened "Look-Ahead model" (LAM). This is performed concurrently, while the main model is still running. After a pre-determined simulation time the LAM model is harvested by the main model, and approximate future behavior is integrated into the well management system of the main model. One simple yet effective technique is to evaluate the current potential of the well to be an average of the current instantaneous potential and the future potential, in, for example, 10 years ahead of the current simulations time. Thus wells whose future performance is inhibited because of high GOR or high water cuts will get there current allocation reduced, and wells with future high potential will get allocated more rate. The use of LAM models is demonstrated in a water flood problem to increase plateau time of a large and complex reservoir model. The LAM model is automatically constructed by collapsing the grid, maintaining some resolution of the current wells and future wells, and coarsening heavily the areas of the grid with spent wells. By doing so a 10x improvement in elapse time of the LAM model, which enables the frequent spawning of LAM models from the main model, and a subsequently the most up-to-date LAM model is integrated into the main well management system. The use of LAM to approximate future behavior of wells, and integrated this behavior into the well management of the reservoir simulator is a novel and practical approach to further optimize the well management system of a reservoir simulator.
利用超前油藏模型优化油藏动态
目标是利用未来模拟的井动态来优化复杂油藏模拟模型中的井管理。这可以用来增加模拟的高原生命和储量。传统的井管理系统通常依靠瞬时井势来选择导向速率,以确定一组井中的井分配。事实证明,这是一个非常有效的策略。然而,对于平台优化问题,可以观察到许多井在平台耗尽后的高瞬时电位;这是因为传统的井管理系统不了解未来的行为。在这项工作中,通过生成一个粗糙的“前瞻性模型”(LAM)来确定具有大型复杂巨型油藏模拟模型的所有井和组的未来行为。这是在主模型仍在运行时并发执行的。在预先确定的模拟时间后,主模型收集LAM模型,并将近似的未来行为集成到主模型的井管理系统中。一种简单而有效的技术是评估井的当前潜力,即当前瞬时潜力和未来潜力的平均值,例如,比当前模拟时间提前10年。因此,由于高GOR或高含水率而抑制未来产量的井,其当前分配将减少,而具有未来高潜力的井将获得更多的分配。在一个大型复杂油藏模型的水驱问题中证明了LAM模型可以增加平台时间。LAM模型通过折叠网格,保持当前井和未来井的一定分辨率,并使用废弃井对网格区域进行粗化来自动构建。通过这样做,LAM模型的运行时间提高了10倍,从而可以频繁地从主模型中生成LAM模型,然后将最新的LAM模型集成到主井管理系统中。使用LAM来近似井的未来动态,并将此动态集成到油藏模拟器的井管理中,是进一步优化油藏模拟器井管理系统的一种新颖实用的方法。
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