Visualizing and quantifying solvent-transport and bitumen-recovery mechanisms under core-plug conditions

岩心塞条件下溶剂迁移和沥青回收机制的可视化和量化

基本信息

批准号：
566325-2021
负责人：
Dehghanpour, Hassan
金额：
$ 1.82万
依托单位：
University of Alberta
依托单位国家：
加拿大
项目类别：
Alliance Grants
财政年份：
2021
资助国家：
加拿大
起止时间：
2021-01-01 至 2022-12-31
项目状态：
已结题

来源：
https://www.nserc-crsng.gc.ca/ase-oro/Details-Detailles_eng.asp?id=721609
关键词：
Visualizing quantifying solvent transport bitumen

项目摘要

Steam assisted gravity drainage is the most commonly used technique for the development of oil-sandresources. However, this technique involves heavy consumption of water and energy, and thus, causes variousenvironmental issues. Injection of additives such as solvents has been implemented to reduce water and heatconsumption, ultimately optimizing the recovery process and reducing greenhouse gas emissions.This research aims to experimentally investigate the mechanisms responsible for solvent transport into andbitumen production from oil-sand core samples during cyclic solvent processes and to model laboratory data forfield-scale predictions. Oil-sand and bitumen samples used in the experiments are from the ClearwaterFormation at Cold Lake. The first phase consists of cyclic-solvent-process experiments using acustom-designed visualization cell under reservoir conditions. The cell allows us to visualize solvent-bitumeninteractions under porous media conditions. Analysis of the pressure-decay, bitumen recovery, andvisualization data will help to understand phase behavior and transport mechanisms that occur in the reservoirduring solvent injection for bitumen recovery. The second phase involves modeling of the measuredexperimental data to predict phase behavior of solvent-bitumen systems and to quantify solvent transportmechanisms and bitumen recovery.The outcomes of this study help oil-sand producers to optimize cyclic solvent processes by controlling the typeand amount of solvent, and the operational parameters such as injection pressure, soaking time, and depletionstrategy. This innovative research program is expected to bring significant environmental and economicbenefits to Canada.

蒸汽辅助重力排水是用于开发石油融合的最常用技术。但是，该技术涉及大量消耗水和能源，因此引起了各种环境问题。已经实施了添加剂（例如溶剂）的注射，以减少水和热量消费，最终优化恢复过程并减少温室气体的排放。这项研究旨在实验研究导致溶剂运输的机制，该机制使溶剂运输中的溶剂运输在环境溶液过程中从油核样品中运输到循环溶解过程中，并在循环溶解过程中进行实验室数据进行模型，以模拟实验性数据的模型。实验中使用的油砂样品和沥青样品来自冷湖的透明质量。第一阶段由在储层条件下使用刺孔设计的可视化细胞进行循环 - 溶剂过程。该单元使我们能够在多孔培养基条件下可视化溶剂 - 甲肌关系。分析压力纪念日，沥青恢复和视觉化数据将有助于理解储备溶剂注入沥青恢复中发生的相位行为和运输机制。第二阶段涉及对测量的实用数据进行建模，以预测溶剂 - 托动物系统的相位行为，并量化溶剂机能和沥青的恢复。这项研究的结果可帮助油式生产者通过控制溶液量的溶液量来优化环状溶剂过程，并以溶剂的量，以及诸如注射式压力，以便进行操作。预计该创新的研究计划将为加拿大带来大量的环境和经济效果。