Further study on oil/water relative permeability ratio model and waterflooding performance prediction model for high water cut oilfields sustainable development

IF 2.4 4区 工程技术 Q3 ENERGY & FUELS Journal of Petroleum Exploration and Production Technology Pub Date : 2024-03-04 DOI:10.1007/s13202-024-01753-3
Renfeng Yang
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Abstract

The accuracy of predicting waterflooding performance is crucial in determining the scale of investment for oilfield development. However, existing common waterflooding prediction models often relies on assumptions that may not apply universally or lack theoretical derivation through statistical analysis. This has led to unsatisfactory prediction accuracy and multiple potential solutions. To address these limitations, it is proposed to incorporate the oil/water relative permeability ratio model into the derivation process of waterflooding prediction models. Initially, an evaluation of prevalent oil/water relative permeability ratio models is conducted, along with an analysis of their primary constraints. Additionally, the applicability of the analytical relative permeability model is thoroughly examined. Building upon the analytical relative permeability model and a modified Welge equation, a new waterflooding model is formulated, encompassing all pertinent physical coefficients. Notably, this model aligns seamlessly with the commonly used Arps’ decline curve, while extending its applicability to a broader range of conditions. Moreover, it can be simplified to generate typical water drive curves under suitable circumstances. The semi-log relationship between oil/water relative permeability ratio and water saturation is further simplified into a linear relationship or a multi-term formula. Compared with the traditional waterflooding model, the new model proposed in this research has a wider application range and can be applied to oilfield at high water cut. At the same time, the new model clarifies the coefficient of waterflooding curve A and the physical meaning of parameter 7.5 in Tong’s chart method for the first time. The new model proposed in this research further enriches the connotation of waterflooding theory and has certain application significance.

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高含水油田可持续开发的油水相对渗透率模型和注水性能预测模型的进一步研究
预测注水性能的准确性对于确定油田开发的投资规模至关重要。然而,现有的普通注水预测模型往往依赖于一些可能并不普遍适用的假设,或者缺乏通过统计分析得出的理论推导。这就导致了预测精度不尽人意,潜在的解决方案也多种多样。针对这些局限性,建议将油/水相对渗透率比模型纳入注水预测模型的推导过程。首先,对现有的油/水相对渗透率模型进行评估,并分析其主要限制因素。此外,还深入研究了分析相对渗透率模型的适用性。在分析相对渗透率模型和修改后的韦尔热方程的基础上,制定了一个新的注水模型,包含所有相关的物理系数。值得注意的是,该模型与常用的阿普斯递减曲线无缝衔接,同时适用于更广泛的条件。此外,在适当的情况下,还可以对其进行简化,生成典型的水驱曲线。油/水相对渗透率与水饱和度之间的半对数关系被进一步简化为线性关系或多项式。与传统的注水模型相比,本研究提出的新模型适用范围更广,可应用于高含水油田。同时,新模型首次明确了注水曲线 A 的系数和唐氏图表法中参数 7.5 的物理意义。该研究提出的新模型进一步丰富了注水理论的内涵,具有一定的应用意义。
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来源期刊
CiteScore
5.90
自引率
4.50%
发文量
151
审稿时长
13 weeks
期刊介绍: The Journal of Petroleum Exploration and Production Technology is an international open access journal that publishes original and review articles as well as book reviews on leading edge studies in the field of petroleum engineering, petroleum geology and exploration geophysics and the implementation of related technologies to the development and management of oil and gas reservoirs from their discovery through their entire production cycle. Focusing on: Reservoir characterization and modeling Unconventional oil and gas reservoirs Geophysics: Acquisition and near surface Geophysics Modeling and Imaging Geophysics: Interpretation Geophysics: Processing Production Engineering Formation Evaluation Reservoir Management Petroleum Geology Enhanced Recovery Geomechanics Drilling Completions The Journal of Petroleum Exploration and Production Technology is committed to upholding the integrity of the scientific record. As a member of the Committee on Publication Ethics (COPE) the journal will follow the COPE guidelines on how to deal with potential acts of misconduct. Authors should refrain from misrepresenting research results which could damage the trust in the journal and ultimately the entire scientific endeavor. Maintaining integrity of the research and its presentation can be achieved by following the rules of good scientific practice as detailed here: https://www.springer.com/us/editorial-policies
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