A Lookback Study of Well Performance Using Borehole Image Data

Haiqing Wu, Gulmira Kuanyshova, E. Iskakov, Ahmad Aruri
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Abstract

The main objective of this work is to understand the impact of fracture, stress, drilling direction and other reservoir properties on the production performance in horizontal well (HW). Taking advantage of seventy available borehole image logs helped to extend analysis beyond individual wells to a field scale evaluation. Three analysis techniques were developed to progress with the study: Digital Interpretation of Borehole Breakout in image log, Favored Drilling Direction Map, and a Reservoir Property Filter to gauge well performance. Results in cross plots showed complicated, cloudy and multi-dimensional relationships. The findings will be used to guide future HW drilling optimization, support dynamic modeling and improve model’s predictability for effective reservoir management.
利用井眼图像数据对油井性能进行回溯研究
这项工作的主要目的是了解裂缝、应力、钻井方向和其他储层特性对水平井(HW)生产性能的影响。利用现有的 70 个井眼图像记录,有助于将分析范围从单井扩大到油田规模评估。为推进这项研究,开发了三种分析技术:图像测井中的井眼破裂数字解释、偏好钻井方向图和储层属性过滤器,用于衡量油井性能。交叉图的结果显示出复杂、模糊和多维的关系。研究结果将用于指导未来的 HW 钻井优化,支持动态建模,并提高模型的可预测性,以实现有效的储层管理。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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