Optimizing Hydraulic Fracture to Manage Sand Production by Predicting Critical Drawdown Pressure in Gas Well
Optimizing Hydraulic Fracture to Manage Sand Production by Predicting Critical Drawdown Pressure in Gas Well
复制标题
通过预测气井临界压降来优化水力压裂以管理出砂
DOI：
10.1115/1.4005239
复制
发表时间：
2012
影响因子：
3
通讯作者：
Md Mamunur Rahman
中科院分区：
文献类型：
--
作者：
M. Rahman;Md Mamunur Rahman
高渗透气层水力压裂防砂是一种越来越受欢迎的完井方式。这提高了油井的生产率，并控制了出砂。因此，优化水力压裂的处理参数，这可以防止最不利的影响，其中之一是出砂，现在是一个关键的过程，要系统地规划与所有现实的设计约束。本文介绍了一个综合方案的开发与全局优化算法，同时优化所有治疗参数，最大限度地提高目标函数（净现值），并满足新建模的设计约束。这些约束被制定为处理参数、裂缝几何形状以及储层的机械和岩石物理性质的函数，使得引起出砂和其他不利影响的临界条件不会变得活跃。其中一个重要的约束条件是与出砂有关的临界生产压差（CDP）。一个遗传进化计算算法被集成到解决的约束处理设计问题，它找到最佳值的处理参数和裂缝的几何形状，是地层兼容。综合模型的能力通过应用于一个假设的气藏和预测多年的产量和CDP来证明，有助于防砂。当与所提出的模型相比，传统的模型违反了一些重要的约束。
Sand control by hydraulic fracturing in high permeable gas formation is becoming an increasingly popular completion option. This improves the well’s productivity as well as manages the sand production. So, optimizing the treatment parameters for hydraulic fracturing, which can prevent most unfavorable effects, one of them being sand production, is now a critical process to be programmed systematically with all realistic design constraints. This paper describes the development of an integrated program with global optimization algorithms that optimize all treatment parameters simultaneously; maximizing objective function (net present value) and satisfying newly modeled design constraints. These constraints are formulated as functions of treatment parameters, fracture geometry, and mechanical and petrophysical properties of the reservoir, so that the critical conditions that induce sand production and other unfavorable effects do not become active. One of the important constraints is the critical drawdown pressure (CDP) relating to sand production. A genetic-evolutionary computing algorithm is integrated to solve the constrained treatment design problem that it finds optimum values for treatment parameters and fracture geometry that are formation compatible. The capability of the integrated model is demonstrated by application to a hypothetical gas reservoir and predicting the production and CDP over a number of years, helping sand control. When compared with the proposed model, the traditional model violates some important constraints.