在狭窄的水库中预测水平井体积断裂的生产能力的新模型
1State Key Laboratory of Petroleum and Prospecting, China University of Petroleum, Beijing 102249, China.
ACS omega
|March 18, 2024
概括
这项研究引入了一种用于预测油田回收的新模型,识别了诸如多孔性和透性等关键因素. 该模型准确地预测了紧密储的产量,错误率低于3%.
科学领域:
- 石油工程是石油工程中的一个.
- 储水库工程 储水库工程
- 地质科学 地质科学
背景情况:
- 产量预测对于油田开发和动态分析至关重要.
- 准确地预测水库的恢复是具有挑战性的,因为有很多影响因素.
- 核心实验和模拟等现有方法都有局限性.
研究的目的:
- 开发一个全面的预测模型来预测水库的恢复.
- 识别和量化各种因素对油田产量的影响.
- 为了提高在狭窄的水库中恢复预测的准确性.
主要方法:
- 使用Pearson,Spearman,灰色相关性,差异选择,单变量选择和树模型计算了14个因素和恢复之间的相关系数.
- 使用权,CRITIC和等级分析确定因子权重.
- 建立了一个基于加权因素的综合评估模型.
主要成果:
- 识别了孔隙度,透度,油和度,井间距,集群间距,总流体体积和水平截面长度对于回收非常重要.
- 与实际结果相比,开发的综合评估模型的误差低于3%.
- 该模型在预测狭窄水库的生产能力方面表现出有效性.
结论:
- 拟议的综合预测模型准确地估计了油田回收.
- 主要储量和运行参数显著影响生产.
- 这项研究为增强紧密水库恢复提供了有价值的指导.
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