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A data mining approach to finding relationships between reservoir properties and oil production for CHOPS

机译：一种数据挖掘方法，用于寻找CHOPS的储层特性与石油产量之间的关系

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摘要

Cold heavy oil production with sand (CHOPS) is a primary oil extraction process for heavy crude oil and reservoir properties are key factors that contribute to the effectiveness of CHOPS. However, identification of the key reservoir properties and quantification of the relationships between the reservoir properties and the oil production are still challenging tasks. In this paper, we propose the use of a data mining approach for finding quantitative relationships between various reservoir properties and oil production for CHOPS. The approach includes four steps: firstly, a set of reservoir properties are identified to describe reservoir characteristics through a petrophysical analysis. In addition to common parameters, such as porosity and permeability, two new parameters - a fluid mobility factor and the maximum inscribed rectangular of net pay (MIRNP) - are proposed. Secondly, three new parameters to describe the production performance of wells are proposed: the peak value, effective life cycle and effective yield. Next, the fuzzy ranking method is used to rank the importance of the identified reservoir properties in terms of oil production. Finally, association rule mining is used to obtain quantitative relationships between reservoir property variables and the production performance of wells. The proposed methods have been applied for 118 wells in the Sparky Formation of the Lloydminster heavy oil field in Alberta. The result shows that the production performance of wells in the area could be described and predicted by using the found quantitative relations.
机译：砂冷重油生产（CHOPS）是重质原油的主要采油工艺，储层特性是影响CHOPS有效性的关键因素。然而，关键储层性质的识别以及储层性质与石油产量之间关系的量化仍然是具有挑战性的任务。在本文中，我们建议使用数据挖掘方法来查找CHOPS的各种储层性质与石油产量之间的定量关系。该方法包括四个步骤：首先，通过岩石物理分析确定一组储层属性，以描述储层特征。除了孔隙度和渗透率等常用参数外，还提出了两个新参数-流体迁移率因子和净净收入的最大内切矩形（MIRNP）。其次，提出了描述油井生产性能的三个新参数：峰值，有效寿命周期和有效产量。接下来，使用模糊排序方法对石油产量方面的已识别储层属性的重要性进行排序。最后，使用关联规则挖掘来获得储层属性变量与井的生产性能之间的定量关系。拟议的方法已在艾伯塔省劳埃德明斯特重质油田斯帕伊克地层的118口井中应用。结果表明，利用所发现的定量关系可以描述和预测该地区油井的生产性能。

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