利用多元统计方法确定北部湾盆地 L 地层海上致密油藏的主要生产因素并预测试井产量

IF 2.8 4区 工程技术 Q2 ENGINEERING, CHEMICAL
Processes Pub Date : 2024-09-06 DOI:10.3390/pr12091922
Xinchen Gao, Kangliang Guo, Qiangyu Li, Yuhang Jin, Jiakang Liu
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引用次数: 0

摘要

这项研究解决了在海上致密油藏(特别是北部盆地 L 地层)中快速准确预测试井产量的难题。在钻杆测试有限、难以评估每个未测试井层的情况下,这一挑战尤为突出。为了实现这一目标,我们分析了 L 地层的 15 口典型测试井,同时考虑了地质和工程因素。最初,我们使用了皮尔逊相关分析、部分相关分析和灰色关系分析来确定主要的生产因素。在这些分析的基础上,建立了两种产量预测模型:一种采用综合产量指数法,另一种采用产量系数法。研究发现,有效渗透率、孔隙度、含油饱和度和页岩含量是研究区域测试井的主要产量因素。模型验证结果表明,综合产量指数模型在 L 地层中表现有效,与实际产量值相比,平均预测误差为 20.40%。这项研究对致密油藏的优化和稳产具有重要意义。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Determination of the Main Production Factors and Production Predictions of Test Wells in the Offshore Tight Oil Reservoirs in the L Formation of the Beibu Basin Using Multivariate Statistical Methods
This study addresses the challenge of rapidly and accurately predicting the production of test wells in offshore tight oil reservoirs, specifically within the L Formation of the Beibu Basin. This challenge is particularly pronounced in situations where drill stem tests are limited and evaluating each untested well layer is difficult. To achieve this objective, we analyzed fifteen typical test wells in the L Formation, taking into account both geological and engineering factors. Initially, Pearson correlation analysis, partial correlation analysis, and grey relational analysis were used to identify the main production factors. Based on these analyses, two types of production prediction models were developed: one employing the comprehensive production index method and the other utilizing the production coefficient method. The research identified effective permeability, porosity, oil saturation, and shale content as the main production factors for the test wells in the study area. The model verification results showed that the comprehensive production index model performs effectively for the L Formation, with an average prediction error of 20.40% compared to the actual production values. This research is significant for optimizing and stabilizing production in tight oil reservoirs.
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来源期刊
Processes
Processes Chemical Engineering-Bioengineering
CiteScore
5.10
自引率
11.40%
发文量
2239
审稿时长
14.11 days
期刊介绍: Processes (ISSN 2227-9717) provides an advanced forum for process related research in chemistry, biology and allied engineering fields. The journal publishes regular research papers, communications, letters, short notes and reviews. Our aim is to encourage researchers to publish their experimental, theoretical and computational results in as much detail as necessary. There is no restriction on paper length or number of figures and tables.
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