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Characterization and interwell connectivity evaluation of Green Rver reservoirs, Wells Draw study area, Uinta Basin, Utah

机译:犹他州Uinta盆地Wells Draw研究区的Green Rver储层表征和井间连通性评估

摘要

Recent efforts to optimize oil recovery from Green River reservoirs, Uinta Basin, have stimulated the need for better understanding of the reservoir connectivity at the scale of the operational unit. This study focuses on Green River reservoirs in the Wells Draw study area where oil production response to implemented waterflood is poor and a better understanding of the reservoir connectivity is required to enhance future secondary oil recovery. Correlating the sand bodies between well locations in the area remains difficult at 40-acre well spacing. Thus, interwell connectivity of the reservoirs is uncertain. Understanding the reservoir connectivity in the Wells Draw study area requires integration of all static and dynamic data for generation of probabilistic models of the reservoir at the interwell locations. The objective of this study is two-fold. The first objective was to determine reservoir connectivity at the interwell scale in the Wells Draw study area. To achieve this goal, I used well log and perforation data in the Wells Draw study area to produce probabilistic models of net-porosity for four producing intervals: (1) Castle Peak, (2) Lower Douglas Creek, (3) Upper Douglas Creek, and (4) Garden Gulch. The second objective was to find readily applicable methods for determining interwell connectivity. To achieve this goal, I used sandstone net thickness and perforation data to evaluate interwell connectivity in the Wells Draw study area. This evaluation was done to: (1) assess and visualize connectivity, (2) provide an assessment of connectivity for validating / calibrating percolation and capacitance based methods, and (3) determine flow barriers for simulation. The probabilistic models encompass the four producing intervals with a gross thickness of 1,900 ft and enable simulation assessments of different development strategies for optimization of oil recovery in the Wells Draw study area. The method developed for determining interwell connectivity in Wells Draw study area is reliable and suited to the four producing intervals. Also, this study shows that the percolation based method is reliable for determining interwell connectivity in the four producing intervals.
机译:最近为优化Uinta盆地的Green River油藏的采油量所做的努力刺激了对运营单位规模的油藏连通性的更好了解的需求。这项研究集中在Wells Draw研究区的Green River油藏中,那里的石油生产对已实施的注水反应不佳,需要对油藏连通性有更好的了解,以增强未来的二次采油量。在40英亩井距的情况下,很难在该区域的各个井位之间关联砂体。因此,储层的井间连通性是不确定的。了解Wells Draw研究区域中的储层连通性需要集成所有静态和动态数据,以在井间位置生成储层的概率模型。这项研究的目的是双重的。第一个目标是在Wells Draw研究区确定井间规模的储层连通性。为了实现这一目标,我使用了Wells Draw研究区的测井和射孔数据,为四个生产间隔生成了净孔隙率的概率模型:(1)青山,(2)下道格拉斯溪,(3)上道格拉斯溪和(4)花园峡谷。第二个目的是找到确定井间连通性的容易应用的方法。为了实现此目标,我使用了砂岩网厚度和射孔数据来评估Wells Draw研究区的井间连通性。进行此评估的目的是:(1)评估和可视化连通性,(2)提供对连通性的评估,以验证/校准基于渗流和电容的方法,以及(3)确定用于仿真的流动障碍。概率模型包含四个总厚度为1,900英尺的生产层段,并可以对Wells Draw研究区中优化采油率的不同开发策略进行模拟评估。用于确定Wells Draw研究区域中井间连通性的方法可靠且适合于四个生产层段。而且,这项研究表明,基于渗流的方法对于确定四个生产层段的井间连通性是可靠的。

著录项

  • 作者

    Abiazie Joseph Uchechukwu;

  • 作者单位
  • 年度 2009
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  • 原文格式 PDF
  • 正文语种 en_US
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