Numerical Modeling for Improved Steam-Assisted Gravity Drainage Using Solvent for In-Situ Heavy-Oil/Bitumen Recovery

使用溶剂改进蒸汽辅助重力泄油原位重油/沥青回收的数值模拟

• 批准号: 418266-2012
• 负责人: Okuno, Ryosuke
• 金额: $ 1.75万
• 依托单位: University of Alberta
• 依托单位国家: 加拿大
• 项目类别: Discovery Grants Program - Individual
• 财政年份: 2015
• 资助国家: 加拿大
• 起止时间: 2015-01-01 至 2016-12-31
• 项目状态: 已结题
• 来源: https://www.nserc-crsng.gc.ca/ase-oro/Details-Detailles_eng.asp?id=573565
• 关键词: Numerical; Modeling; Improved; Steam; Assisted

Canada has the largest heavy-oil resources in the world. A recent report indicates approximately five trillion barrels of heavy-oil resources in the world, approximately 50% of which are in Canada. Every one percent of incremental heavy-oil recovery in Canada contributes 25 billion barrels of oil production. Steam-assisted gravity drainage (SAGD) is the most widely used method for in-situ heavy-oil recovery. The main drawback of SAGD is the significant consumption of energy and water resources required to generate steam. Co-injection of steam and solvent (solvent-SAGD) has been studied to improve the drawback of SAGD. However, those solvent-SAGD processes do not improve local displacement efficiency of SAGD because the solvent concentration is so low in the injection fluid. A potential method is to create the solvent-rich liquid phase near the chamber edge to achieve high displacement efficiency. The proposed research will develop modeling methods for this new solvent-SAGD process using the solvent-rich liquid phase. The proposed research can improve heavy-oil recovery efficiency by providing the oil industry with - A new solvent-SAGD process using the solvent-rich liquid phase that enhances displacement efficiency while decreasing environmental costs of SAGD - Highly qualified personnel with skills and knowledge to design enhanced heavy-oil recovery - Practical software to design enhanced heavy-oil recovery, such as fluid characterization software and a new 3-D equation-of-state compositional thermal reservoir simulator. The proposed research improves our understanding of complex interaction of multiphase behaviour and flow that can occur during enhanced heavy-oil recovery. With improved understanding, we can robustly design solvent-SAGD for more oil recovery with reduced environmental costs.

加拿大拥有世界上最大的重油资源。最近的一份报告显示，世界上约有5万亿桶重油资源，其中约50%在加拿大。加拿大每增加1%的稠油开采，就能贡献250亿桶石油产量。 蒸汽辅助重力排水(SAGD)是目前应用最广泛的现场稠油开采方法。SAGD的主要缺点是大量消耗产生蒸汽所需的能源和水资源。针对水蒸气与溶剂共注(SOLOR-SAGD)的缺点，开展了SAGD的研究。然而，这些溶剂-SAGD工艺并没有提高SAGD的局部驱油效率，因为注入液中的溶剂浓度很低。一种可能的方法是在腔体边缘附近产生富含溶剂的液体相，以实现高驱油效率。拟议的研究将开发这一新的溶剂-SAGD过程的建模方法，该过程使用富含溶剂的液体。 建议的研究可以提高稠油开采效率，为石油行业提供 -一种新的溶剂-SAGD工艺，使用富含溶剂的液体，在提高置换效率的同时降低SAGD的环境成本 -具有设计提高稠油采收率的技能和知识的高素质人员 -用于设计提高稠油采收率的实用软件，例如流体表征软件和新的三维状态方程组成热储模拟器。 这项拟议的研究提高了我们对稠油强化开采过程中可能发生的多相态和流动的复杂相互作用的理解。有了更好的理解，我们可以强有力地设计溶剂-SAGD，以降低环境成本，实现更多的石油回收。