非固结油藏临界压降估算的模型和模拟器

Precious Ehihamen
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摘要

毫无疑问,在生产设施中最常见的问题之一就是出砂。出砂是指在生产过程中地层颗粒随油藏流体连续流动。这是一个问题,更多地与未固结的储层有关,如尼日尔三角洲的那些。与出砂相关的一些问题包括乳液稳定、管道堵塞、管道侵蚀和分离效果降低(Bibobra等人,2015),所有这些都有经济后果,因此可能导致公司破产。为了避免上述问题,人们开发了许多防砂措施,然而,随着防砂效果的提高,成本也相应增加,因此,有必要进行可行性研究,以确定其可行性。许多作者已经建立了用于预测储层出砂的数学模型。这些模型已被证明是防砂可行性研究的有用工具。地质力学参数如主应力在这些模型中是有用的。然而,许多开发出来的模型都很复杂,需要难以获得的参数,或者与观测到的现场数据相比,精度较低。本文通过修改Oluyemi和Oyeneyin(2010)的工作,建立了一个数学模型,Oluyemi和Oyeneyin(2010)建立了一个简单的机械模型,需要很少且易于获得的输入参数。然后使用Python编程语言设计了一个简单的模拟器,名为Cassandra,以帮助估计过程。通过对不同储层的现场数据进行验证,发现Cassandra的计算结果与现场观测数据非常接近,实际上只有8%左右的绝对误差。与现有模型相比,该模型也表现出色。因此,该软件在任何出砂分析中都是一个有价值的工具。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Cassandra: A Model and Simulator Developed for Critical Drawdown Estimation in Unconsolidated Reservoirs
Without doubt, one of the most frequently occurring problems in production facilities with dire consequences is sand production. Sand production refers to the continuous flow of formation grains alongside reservoir fluids during production. It is a problem that is more associated with unconsolidated reservoirs such as those present in the Niger Delta. Some of the problems associated with sand production include stabilization of emulsion, vessel blockage, erosion of vessels and reduction in separation effectiveness (Bibobra et al, 2015) all of which have economic consequences, thus, can render companies bankrupt. In a bid to avoid the aforementioned problems, many sand control measures have been developed, however, with increase in effectiveness in handling sand comes a corresponding increase in cost, hence, necessitating a feasibility study to ascertain their viability. Many authors have developed mathematical models useful in predicting sand production in reservoirs. These models have proved to be useful tools in sand control viability studies. Geomechanical parameters like principal stresses have been useful in these models. However, many of these models developed have turned out complex, requiring difficult-to-obtain parameters or having low level of accuracy when compared to observed field data. In this paper, a mathematical model was developed by modifying the work of Oluyemi and Oyeneyin (2010) who developed a simple mechanistic model requiring few and easy-to-obtain input parameters. A simple simulator, named Cassandra, was then designed using Python Programming Language so as to aid the estimation process. After validation with field data from different reservoirs, it was found that Cassandra gave results very close to observed field data, in fact, it only possesses about 8% absolute error. The model also performed excellently when compared to existing models. This software, thus, proves to be a valuable tool in any sand production analysis.
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