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Mechanistic Modeling for Well Configuration Screening in EOR Pilot

机译:EOR飞行员井配置筛选机械模型

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Pilot objectives are usually predetermined before pilot field implementation. In order to study different pilot performance predictions, dynamic reservoir simulation is used as screening tool to ensure pilot designs meet pilot objectives. A Mechanistic "box” model is a limited size simulation model used to compare different pilot configuration performances on an equal basis and so saves both CPUs and simulation time. A 1 km × 1 km mechanistic model was constructed with refined grid of 25m × 25m. The reservoir properties, attributes and layering used are similar to the geological "static" model to avoid upscaling issues. Transmissibility multipliers were used at the boundaries of the mechanistic model and production or injection rates of the edge wells were constrained to mimic full pattern performance. Several pilot scenarios were studied in terms of well configurations, well spacing, well type (vertical or horizontal), well completion (reservoir sub-zone), injection/production rates, injected fluid (water, gas), injection continuity (continuous injection, WAG) and WAG cycles. All of these prediction cases were run under reservoir voidage replacement. Certain criteria were selected to screen these cases such as recovery factor at breakthrough, ultimate recovery factor, sweep efficiency, injection rates and breakthrough time. More than fifty cases were run and screened using mechanistic models. A number of these cases, those which meet the pilot objectives, were selected to be run using larger sector model for comparison with the mechanistic models. Results show good agreement between the mechanistic model and sector model results. The mechanistic model is a good tool to quickly screen many pilot scenarios rather than running much larger compositional models. The prediction results of the pilot performance can be used to create Tornado charts to determine the impact of key uncertainty parameters on oil recovery, sweep efficiency and breakthrough time. These charts will dictate the pilot design and pilot monitoring requirements.
机译:在试点现场实施之前通常预先确定导频目标。为了研究不同的导频性能预测,动态储层模拟用作筛选工具,以确保试点设计满足导频目标。机械化“框”模型是一个有限的尺寸模拟模型,用于比较不同的导频配置性能等同的基础,因此节省了CPU和仿真时间。1公里×1公里机械模型由25m×25m的精制网格构建。使用的储层属性,属性和分层类似于地质“静态”模型,以避免升高的问题。在机械模型的边界中使用传感器倍增器,边缘孔的产生或喷射速率受到限制以模仿全图案性能。在井配置,井间距,井类型(垂直或水平),井完成(储层次区),注射/生产率,注射液(水,气体),注射连续性(连续注射,摇摆)和摇摆周期。所有这些预测案例都在储液中更换运行。选择某些标准以筛选这些案例,例如恢复因子突破,最终回收因子,扫描效率,注射率和突破时间。使用机械模型运行并筛选超过五十个案例。选择一些这些情况,符合导频目标的情况,选择使用较大的扇区模型来运行,以与机械模型进行比较。结果显示机械模型与部门模型结果之间的良好一致性。机械模型是一种很好的工具,可以快速屏蔽许多导频场景,而不是跑得更大的组成模型。试验性能的预测结果可用于创建龙卷风图表,以确定关键不确定性参数对采油,扫描效率和突破时间的影响。这些图表将决定试点设计和试验监控要求。

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