通过划定含水饱和度极限,确定压裂控制单元产区与分段多簇压裂井生产率之间的关系

0 ENERGY & FUELS
Jia Deng , Hongqing Song
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引用次数: 0

摘要

预测水力压裂形成的压裂控制单元产气面积对压裂评价、剩余储量估算和开发方案制定至关重要。本研究以线形裂缝截取的分段多组压裂水平井为背景,建立了瞬态气水两相流模型,求解了含水页岩气藏的气水产能、地层压力和含水饱和度的解析解,并与油田生产数据和模拟结果进行了很好的匹配。随后,通过在分析柱状图中划定水饱和极限,可以确定和计算裂缝控制单元的产气面积。通过敏感性分析,动态确定了早期、中期和晚期对产油面积和气水产量的关键贡献,从而证明压裂长度和初始基质含水饱和度都是影响产油面积和产量的关键因素。同时,生产面积与基质渗透率、簇间距和裂缝长度呈正相关,而与基质初始含水饱和度呈负相关。此外,产油面积与生产率之间的关系被公式化为近似线性特征。因此,根据不同生产时间的油田生产率,可以估算出裂缝控制单元的生产面积,从而评估剩余储量的潜力。这种创新方法对气-水生产数据集的要求不高,便于快速预测气藏的动态储量,从而促进非常规天然气资源的高效开发。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Formulizing relationships between producing area of fracture-controlled unit and productivity of segmented multi-cluster fractured well by delineating water saturation limit
Predicting the producing area of fracture-controlled unit created by hydraulic fracturing is crucial to fracturing evaluation, estimation of remaining reserves and formulation of development plan. Under the background of segmented multi-cluster fractured horizontal wells intercepted by line-shaped fractures, this study establishes a transient gas-water two-phase flow model to solve the analytical solutions of gas-water productivity, formation pressure and water saturation in water-bearing shale gas reservoirs, well matching with the field production data and simulation results. Subsequently, by delineating water saturation limit in an analytical nephogram, the producing area of fracture-controlled unit can be determined and calculated. The key contributions to producing areas and gas-water productivities at early, middle and late stages are dynamically identified via a sensitivity analysis, thus demonstrating that both fracture length and initial matrix water saturation are key factors contributing to the producing area and productivity. Meanwhile, the producing area shows a positive relation with matrix permeability, cluster spacing and fracture length whereas has a negative relation with initial matrix water saturation. Furthermore, their relationship between producing area and productivity is formulized to show an approximately linear characteristic. Thus, based on field productivities at different production times, their producing areas of fracture-controlled unit can be estimated to evaluate the potential of remaining reserves. This innovative approach with low requirements on the gas-water production dataset is convenient to yield a rapid prediction of dynamic reserves of gas reservoirs, thereby contributing to high-efficient development of unconventional gas resources.
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